TopNotch › Security Papers › Normalized Top-100 Ranking

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Normalized Top-100 Security Papers

This webpage is an attempt to assemble a ranking of top-cited papers from the area of computer security. The ranking has been created based on citations of papers published at top security conferences. More details are available here.

Absolute citations are not necessarily a good indicator for the impact of a paper, as the number of citations usually grows with the age of a paper. The following list shows an alternative ranking, where the citations are normalized by the age of each paper.

Top 100 papers normalized by age ⌄

  1. 1
    Nicholas Carlini and David A. Wagner:
    Towards Evaluating the Robustness of Neural Networks.
    IEEE Symposium on Security and Privacy, 2017
    6133 cites at Google Scholar
    6191% above average of year
    Last visited: Nov-2022
    Paper: DOI
  2. 2
    Ahmed Salem, Rui Wen, Michael Backes, Shiqing Ma, and Yang Zhang:
    Dynamic Backdoor Attacks Against Machine Learning Models.
    IEEE European Symposium on Security and Privacy, 2022
    104 cites at Google Scholar
    5492% above average of year
    Last visited: Oct-2022
    Paper: DOI
  3. 3
    Mihir Bellare and Phillip Rogaway:
    Random Oracles are Practical: A Paradigm for Designing Efficient Protocols.
    ACM Conference on Computer and Communications Security (CCS), 1993
    6011 cites at Google Scholar
    4113% above average of year
    Last visited: Nov-2022
    Paper: DOI
  4. 4
    Paul Kocher, Jann Horn, Anders Fogh, Daniel Genkin, Daniel Gruss, Werner Haas, Mike Hamburg, Moritz Lipp, Stefan Mangard, Thomas Prescher, Michael Schwarz, and Yuval Yarom:
    Spectre Attacks: Exploiting Speculative Execution.
    IEEE Symposium on Security and Privacy, 2019
    2163 cites at Google Scholar
    4077% above average of year
    Last visited: Nov-2022
    Paper: DOI
  5. 5
    Kaihua Qin, Liyi Zhou, and Arthur Gervais:
    Quantifying Blockchain Extractable Value: How dark is the forest?
    IEEE Symposium on Security and Privacy, 2022
    61 cites at Google Scholar
    3180% above average of year
    Last visited: Nov-2022
    Paper: DOI
  6. 6
    Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, and Konrad Rieck:
    Dos and Don'ts of Machine Learning in Computer Security.
    USENIX Security Symposium, 2022
    60 cites at Google Scholar
    3126% above average of year
    Last visited: Oct-2022
    Paper: DOI
  7. 7
    Vipul Goyal, Omkant Pandey, Amit Sahai, and Brent Waters:
    Attribute-based encryption for fine-grained access control of encrypted data.
    ACM Conference on Computer and Communications Security (CCS), 2006
    6286 cites at Google Scholar
    3087% above average of year
    Last visited: Nov-2022
    Paper: DOI
  8. 8
    Nicholas Carlini, Florian Tramèr, Eric Wallace, Matthew Jagielski, Ariel Herbert-Voss, Katherine Lee, Adam Roberts, Tom B. Brown, Dawn Song, Úlfar Erlingsson, Alina Oprea, and Colin Raffel:
    Extracting Training Data from Large Language Models.
    USENIX Security Symposium, 2021
    352 cites at Google Scholar
    2995% above average of year
    Last visited: Oct-2022
    Paper: DOI
  9. 9
    Stephanie Forrest, Alan S. Perelson, Lawrence Allen, and Rajesh Cherukuri:
    Self-nonself discrimination in a computer.
    IEEE Symposium on Security and Privacy, 1994
    3143 cites at Google Scholar
    2965% above average of year
    Last visited: Oct-2022
    Paper: DOI
  10. 10
    John Bethencourt, Amit Sahai, and Brent Waters:
    Ciphertext-Policy Attribute-Based Encryption.
    IEEE Symposium on Security and Privacy, 2007
    5987 cites at Google Scholar
    2851% above average of year
    Last visited: Oct-2022
    Paper: DOI
  11. 11
    D. F. C. Brewer and Michael J. Nash:
    The Chinese Wall Security Policy.
    IEEE Symposium on Security and Privacy, 1989
    1459 cites at Google Scholar
    2756% above average of year
    Last visited: Nov-2022
    Paper: DOI
  12. 12
    Nicolas Papernot, Patrick D. McDaniel, Somesh Jha, Matt Fredrikson, Z. Berkay Celik, and Ananthram Swami:
    The Limitations of Deep Learning in Adversarial Settings.
    IEEE European Symposium on Security and Privacy, 2016
    3467 cites at Google Scholar
    2648% above average of year
    Last visited: Nov-2022
    Paper: DOI
  13. 13
    Martín Abadi, Andy Chu, Ian J. Goodfellow, H. Brendan McMahan, Ilya Mironov, Kunal Talwar, and Li Zhang:
    Deep Learning with Differential Privacy.
    ACM Conference on Computer and Communications Security (CCS), 2016
    3441 cites at Google Scholar
    2627% above average of year
    Last visited: Oct-2022
    Paper: DOI
  14. 14
    Nicholas Carlini, Steve Chien, Milad Nasr, Shuang Song, Andreas Terzis, and Florian Tramèr:
    Membership Inference Attacks From First Principles.
    IEEE Symposium on Security and Privacy, 2022
    50 cites at Google Scholar
    2588% above average of year
    Last visited: Nov-2022
    Paper: DOI
  15. 15
    Dawn Xiaodong Song, David A. Wagner, and Adrian Perrig:
    Practical Techniques for Searches on Encrypted Data.
    IEEE Symposium on Security and Privacy, 2000
    4404 cites at Google Scholar
    2531% above average of year
    Last visited: Sep-2022
    Paper: DOI
  16. 16
    Roger Dingledine, Nick Mathewson, and Paul F. Syverson:
    Tor: The Second-Generation Onion Router.
    USENIX Security Symposium, 2004
    5392 cites at Google Scholar
    2354% above average of year
    Last visited: Nov-2022
    Paper: DOI
  17. 17
    Reza Shokri, Marco Stronati, Congzheng Song, and Vitaly Shmatikov:
    Membership Inference Attacks Against Machine Learning Models.
    IEEE Symposium on Security and Privacy, 2017
    2381 cites at Google Scholar
    2342% above average of year
    Last visited: Nov-2022
    Paper: DOI
  18. 18
    Steven M. Bellovin and Michael Merritt:
    Encrypted key exchange: password-based protocols secure against dictionary attacks.
    IEEE Symposium on Security and Privacy, 1992
    2116 cites at Google Scholar
    2294% above average of year
    Last visited: Nov-2022
    Paper: DOI
  19. 19
    Matt Blaze, Joan Feigenbaum, and Jack Lacy:
    Decentralized Trust Management.
    IEEE Symposium on Security and Privacy, 1996
    3378 cites at Google Scholar
    2063% above average of year
    Last visited: Oct-2022
    Paper: DOI
  20. 20
    Nicolas Papernot, Patrick D. McDaniel, Xi Wu, Somesh Jha, and Ananthram Swami:
    Distillation as a Defense to Adversarial Perturbations Against Deep Neural Networks.
    IEEE Symposium on Security and Privacy, 2016
    2698 cites at Google Scholar
    2039% above average of year
    Last visited: Nov-2022
    Paper: DOI
  21. 21
    Laurent Eschenauer and Virgil D. Gligor:
    A key-management scheme for distributed sensor networks.
    ACM Conference on Computer and Communications Security (CCS), 2002
    5414 cites at Google Scholar
    1989% above average of year
    Last visited: Oct-2022
    Paper: DOI
  22. 22
    Ellis Fenske, Dane Brown, Jeremy Martin, Travis Mayberry, Peter Ryan, and Erik C. Rye:
    Three Years Later: A Study of MAC Address Randomization In Mobile Devices And When It Succeeds.
    Proceedings on Privacy Enhancing Technologies, 2021
    232 cites at Google Scholar
    1940% above average of year
    Last visited: Nov-2022
    Paper: DOI
  23. 23
    Ahmed E. Kosba, Andrew Miller, Elaine Shi, Zikai Wen, and Charalampos Papamanthou:
    Hawk: The Blockchain Model of Cryptography and Privacy-Preserving Smart Contracts.
    IEEE Symposium on Security and Privacy, 2016
    2441 cites at Google Scholar
    1835% above average of year
    Last visited: Nov-2022
    Paper: DOI
  24. 24
    Stephanie Forrest, Steven A. Hofmeyr, Anil Somayaji, and Thomas A. Longstaff:
    A Sense of Self for Unix Processes.
    IEEE Symposium on Security and Privacy, 1996
    2953 cites at Google Scholar
    1791% above average of year
    Last visited: Oct-2022
    Paper: DOI
  25. 25
    Vern Paxson:
    Bro: A System for Detecting Network Intruders in Real-Time.
    USENIX Security Symposium, 1998
    3769 cites at Google Scholar
    1788% above average of year
    Last visited: Jan-2022
    Paper: DOI
  26. 26
    Virat Shejwalkar, Amir Houmansadr, Peter Kairouz, and Daniel Ramage:
    Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated Learning.
    IEEE Symposium on Security and Privacy, 2022
    35 cites at Google Scholar
    1782% above average of year
    Last visited: Nov-2022
    Paper: DOI
  27. 27
    Yajin Zhou and Xuxian Jiang:
    Dissecting Android Malware: Characterization and Evolution.
    IEEE Symposium on Security and Privacy, 2012
    2746 cites at Google Scholar
    1777% above average of year
    Last visited: Oct-2022
    Paper: DOI
  28. 28
    Weilin Xu, David Evans, and Yanjun Qi:
    Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks.
    Network and Distributed System Security Symposium (NDSS), 2018
    1319 cites at Google Scholar
    1710% above average of year
    Last visited: Oct-2022
    Paper: DOI
  29. 29
    Daniel Arp, Michael Spreitzenbarth, Malte Hubner, Hugo Gascon, and Konrad Rieck:
    DREBIN: Effective and Explainable Detection of Android Malware in Your Pocket.
    Network and Distributed System Security Symposium (NDSS), 2014
    2199 cites at Google Scholar
    1698% above average of year
    Last visited: Nov-2022
    Paper: DOI
  30. 30
    Li Gong, Roger M. Needham, and Raphael Yahalom:
    Reasoning about Belief in Cryptographic Protocols.
    IEEE Symposium on Security and Privacy, 1990
    1003 cites at Google Scholar
    1692% above average of year
    Last visited: Sep-2022
    Paper: DOI
  31. 31
    Giuseppe Ateniese, Randal C. Burns, Reza Curtmola, Joseph Herring, Lea Kissner, Zachary N. J. Peterson, and Dawn Xiaodong Song:
    Provable data possession at untrusted stores.
    ACM Conference on Computer and Communications Security (CCS), 2007
    3635 cites at Google Scholar
    1692% above average of year
    Last visited: Oct-2022
    Paper: DOI
  32. 32
    Jinyuan Jia, Yupei Liu, and Neil Zhenqiang Gong:
    BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning.
    IEEE Symposium on Security and Privacy, 2022
    33 cites at Google Scholar
    1674% above average of year
    Last visited: Oct-2022
    Paper: DOI
  33. 33
    Arvind Narayanan and Vitaly Shmatikov:
    Robust De-anonymization of Large Sparse Datasets.
    IEEE Symposium on Security and Privacy, 2008
    2849 cites at Google Scholar
    1673% above average of year
    Last visited: Oct-2022
    Paper: DOI
  34. 34
    Yao Liu, Michael K. Reiter, and Peng Ning:
    False data injection attacks against state estimation in electric power grids.
    ACM Conference on Computer and Communications Security (CCS), 2009
    3092 cites at Google Scholar
    1654% above average of year
    Last visited: Nov-2022
    Paper: DOI
  35. 35
    Manos Antonakakis, Tim April, Michael Bailey, Matt Bernhard, Elie Bursztein, Jaime Cochran, Zakir Durumeric, J. Alex Halderman, Luca Invernizzi, Michalis Kallitsis, Deepak Kumar, Chaz Lever, Zane Ma, Joshua Mason, Damian Menscher, Chad Seaman, Nick Sullivan, Kurt Thomas, and Yi Zhou:
    Understanding the Mirai Botnet.
    USENIX Security Symposium, 2017
    1688 cites at Google Scholar
    1632% above average of year
    Last visited: Oct-2022
    Paper: DOI
  36. 36
    Dorothy E. Denning:
    An Intrusion-Detection Model.
    IEEE Symposium on Security and Privacy, 1986
    5946 cites at Google Scholar
    1622% above average of year
    Last visited: Oct-2022
    Paper: DOI
  37. 37
    Kallista A. Bonawitz, Vladimir Ivanov, Ben Kreuter, Antonio Marcedone, H. Brendan McMahan, Sarvar Patel, Daniel Ramage, Aaron Segal, and Karn Seth:
    Practical Secure Aggregation for Privacy-Preserving Machine Learning.
    ACM Conference on Computer and Communications Security (CCS), 2017
    1639 cites at Google Scholar
    1581% above average of year
    Last visited: Oct-2022
    Paper: DOI
  38. 38
    Moritz Lipp, Michael Schwarz, Daniel Gruss, Thomas Prescher, Werner Haas, Anders Fogh, Jann Horn, Stefan Mangard, Paul Kocher, Daniel Genkin, Yuval Yarom, and Mike Hamburg:
    Meltdown: Reading Kernel Memory from User Space.
    USENIX Security Symposium, 2018
    1212 cites at Google Scholar
    1563% above average of year
    Last visited: Nov-2022
    Paper: DOI
  39. 39
    Haowen Chan, Adrian Perrig, and Dawn Xiaodong Song:
    Random Key Predistribution Schemes for Sensor Networks.
    IEEE Symposium on Security and Privacy, 2003
    4309 cites at Google Scholar
    1557% above average of year
    Last visited: Oct-2022
    Paper: DOI
  40. 40
    Matt Fredrikson, Somesh Jha, and Thomas Ristenpart:
    Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures.
    ACM Conference on Computer and Communications Security (CCS), 2015
    1827 cites at Google Scholar
    1518% above average of year
    Last visited: Oct-2022
    Paper: DOI
  41. 41
    Yugeng Liu, Rui Wen, Xinlei He, Ahmed Salem, Zhikun Zhang, Michael Backes, Emiliano De Cristofaro, Mario Fritz, and Yang Zhang:
    ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models.
    USENIX Security Symposium, 2022
    30 cites at Google Scholar
    1513% above average of year
    Last visited: Oct-2022
    Paper: DOI
  42. 42
    Jeffrey O. Kephart and Steve R. White:
    Directed-Graph Epidemiological Models of Computer Viruses.
    IEEE Symposium on Security and Privacy, 1991
    1153 cites at Google Scholar
    1511% above average of year
    Last visited: Oct-2022
    Paper: DOI
  43. 43
    Reza Shokri and Vitaly Shmatikov:
    Privacy-Preserving Deep Learning.
    ACM Conference on Computer and Communications Security (CCS), 2015
    1815 cites at Google Scholar
    1507% above average of year
    Last visited: Nov-2022
    Paper: DOI
  44. 44
    Luca Melis, Congzheng Song, Emiliano De Cristofaro, and Vitaly Shmatikov:
    Exploiting Unintended Feature Leakage in Collaborative Learning.
    IEEE Symposium on Security and Privacy, 2019
    831 cites at Google Scholar
    1505% above average of year
    Last visited: Oct-2022
    Paper: DOI
  45. 45
    Thomas Ristenpart, Eran Tromer, Hovav Shacham, and Stefan Savage:
    Hey, you, get off of my cloud: exploring information leakage in third-party compute clouds.
    ACM Conference on Computer and Communications Security (CCS), 2009
    2824 cites at Google Scholar
    1502% above average of year
    Last visited: Oct-2022
    Paper: DOI
  46. 46
    Eli Ben-Sasson, Alessandro Chiesa, Christina Garman, Matthew Green, Ian Miers, Eran Tromer, and Madars Virza:
    Zerocash: Decentralized Anonymous Payments from Bitcoin.
    IEEE Symposium on Security and Privacy, 2014
    1923 cites at Google Scholar
    1472% above average of year
    Last visited: Nov-2022
    Paper: DOI
  47. 47
    Alessandro Acquisti and Ralph Gross:
    Imagined Communities: Awareness, Information Sharing, and Privacy on the Facebook.
    International Symposium on Privacy Enhancing Technologies (PETS), 2006
    3099 cites at Google Scholar
    1471% above average of year
    Last visited: Oct-2022
    Paper: DOI
  48. 48
    Reza Curtmola, Juan A. Garay, Seny Kamara, and Rafail Ostrovsky:
    Searchable symmetric encryption: improved definitions and efficient constructions.
    ACM Conference on Computer and Communications Security (CCS), 2006
    3014 cites at Google Scholar
    1428% above average of year
    Last visited: Nov-2022
    Paper: DOI
  49. 49
    Joseph A. Goguen and José Meseguer:
    Security Policies and Security Models.
    IEEE Symposium on Security and Privacy, 1982
    2923 cites at Google Scholar
    1363% above average of year
    Last visited: Nov-2022
    Paper: DOI
  50. 50
    Theresa Stadler, Bristena Oprisanu, and Carmela Troncoso:
    Synthetic Data - Anonymisation Groundhog Day.
    USENIX Security Symposium, 2022
    27 cites at Google Scholar
    1352% above average of year
    Last visited: Oct-2022
    Paper: DOI
  51. 51
    Karl Koscher, Alexei Czeskis, Franziska Roesner, Shwetak N. Patel, Tadayoshi Kohno, Stephen Checkoway, Damon McCoy, Brian Kantor, Danny Anderson, Hovav Shacham, and Stefan Savage:
    Experimental Security Analysis of a Modern Automobile.
    IEEE Symposium on Security and Privacy, 2010
    2132 cites at Google Scholar
    1335% above average of year
    Last visited: Nov-2022
    Paper: DOI
  52. 52
    Phillip A. Porras and Richard A. Kemmerer:
    Penetration state transition analysis: A rule-based intrusion detection approach.
    Annual Computer Security Applications Conference (ACSAC), 1992
    1257 cites at Google Scholar
    1322% above average of year
    Last visited: Nov-2022
    Paper: DOI
  53. 53
    Lucas Bourtoule, Varun Chandrasekaran, Christopher A. Choquette-Choo, Hengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, and Nicolas Papernot:
    Machine Unlearning.
    IEEE Symposium on Security and Privacy, 2021
    161 cites at Google Scholar
    1316% above average of year
    Last visited: Nov-2022
    Paper: DOI
  54. 54
    Milad Nasr, Reza Shokri, and Amir Houmansadr:
    Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning.
    IEEE Symposium on Security and Privacy, 2019
    727 cites at Google Scholar
    1304% above average of year
    Last visited: Nov-2022
    Paper: DOI
  55. 55
    Théo Ryffel, Pierre Tholoniat, David Pointcheval, and Francis R. Bach:
    AriaNN: Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing.
    Proceedings on Privacy Enhancing Technologies, 2022
    26 cites at Google Scholar
    1298% above average of year
    Last visited: Nov-2022
    Paper: DOI
  56. 56
    Loi Luu, Duc-Hiep Chu, Hrishi Olickel, Prateek Saxena, and Aquinas Hobor:
    Making Smart Contracts Smarter.
    ACM Conference on Computer and Communications Security (CCS), 2016
    1757 cites at Google Scholar
    1293% above average of year
    Last visited: Nov-2022
    Paper: DOI
  57. 57
    Minghong Fang, Xiaoyu Cao, Jinyuan Jia, and Neil Zhenqiang Gong:
    Local Model Poisoning Attacks to Byzantine-Robust Federated Learning.
    USENIX Security Symposium, 2020
    372 cites at Google Scholar
    1282% above average of year
    Last visited: Nov-2022
    Paper: DOI
  58. 58
    Bolun Wang, Yuanshun Yao, Shawn Shan, Huiying Li, Bimal Viswanath, Haitao Zheng, and Ben Y. Zhao:
    Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks.
    IEEE Symposium on Security and Privacy, 2019
    706 cites at Google Scholar
    1263% above average of year
    Last visited: Nov-2022
    Paper: DOI
  59. 59
    Payman Mohassel and Yupeng Zhang:
    SecureML: A System for Scalable Privacy-Preserving Machine Learning.
    IEEE Symposium on Security and Privacy, 2017
    1309 cites at Google Scholar
    1243% above average of year
    Last visited: Nov-2022
    Paper: DOI
  60. 60
    Úlfar Erlingsson, Vasyl Pihur, and Aleksandra Korolova:
    RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response.
    ACM Conference on Computer and Communications Security (CCS), 2014
    1628 cites at Google Scholar
    1231% above average of year
    Last visited: Nov-2022
    Paper: DOI
  61. 61
    Ari Juels and Burton S. Kaliski Jr.:
    Pors: proofs of retrievability for large files.
    ACM Conference on Computer and Communications Security (CCS), 2007
    2635 cites at Google Scholar
    1199% above average of year
    Last visited: Oct-2022
    Paper: DOI
  62. 62
    Mathias Lécuyer, Vaggelis Atlidakis, Roxana Geambasu, Daniel Hsu, and Suman Jana:
    Certified Robustness to Adversarial Examples with Differential Privacy.
    IEEE Symposium on Security and Privacy, 2019
    658 cites at Google Scholar
    1171% above average of year
    Last visited: Nov-2022
    Paper: DOI
  63. 63
    James Newsome and Dawn Xiaodong Song:
    Dynamic Taint Analysis for Automatic Detection, Analysis, and SignatureGeneration of Exploits on Commodity Software.
    Network and Distributed System Security Symposium (NDSS), 2005
    2274 cites at Google Scholar
    1161% above average of year
    Last visited: Sep-2022
    Paper: DOI
  64. 64
    Martín Abadi, Mihai Budiu, Úlfar Erlingsson, and Jay Ligatti:
    Control-flow integrity.
    ACM Conference on Computer and Communications Security (CCS), 2005
    2273 cites at Google Scholar
    1160% above average of year
    Last visited: Nov-2022
    Paper: DOI
  65. 65
    Adrienne Porter Felt, Erika Chin, Steve Hanna, Dawn Song, and David A. Wagner:
    Android permissions demystified.
    ACM Conference on Computer and Communications Security (CCS), 2011
    1974 cites at Google Scholar
    1156% above average of year
    Last visited: Oct-2022
    Paper: DOI
  66. 66
    David D. Clark and D. R. Wilson:
    A Comparison of Commercial and Military Computer Security Policies.
    IEEE Symposium on Security and Privacy, 1987
    1931 cites at Google Scholar
    1145% above average of year
    Last visited: Oct-2022
    Paper: DOI
  67. 67
    Yuval Yarom and Katrina Falkner:
    FLUSH+RELOAD: A High Resolution, Low Noise, L3 Cache Side-Channel Attack.
    USENIX Security Symposium, 2014
    1522 cites at Google Scholar
    1145% above average of year
    Last visited: Oct-2022
    Paper: DOI
  68. 68
    Ari Juels and Martin Wattenberg:
    A Fuzzy Commitment Scheme.
    ACM Conference on Computer and Communications Security (CCS), 1999
    2084 cites at Google Scholar
    1144% above average of year
    Last visited: Nov-2022
    Paper: DOI
  69. 69
    Joseph Bonneau, Andrew Miller, Jeremy Clark, Arvind Narayanan, Joshua A. Kroll, and Edward W. Felten:
    SoK: Research Perspectives and Challenges for Bitcoin and Cryptocurrencies.
    IEEE Symposium on Security and Privacy, 2015
    1385 cites at Google Scholar
    1126% above average of year
    Last visited: Nov-2022
    Paper: DOI
  70. 70
    Thomas Beth, Malte Borcherding, and Birgit Klein:
    Valuation of Trust in Open Networks.
    European Symposium on Research in Computer Security (ESORICS), 1994
    1247 cites at Google Scholar
    1116% above average of year
    Last visited: Nov-2022
    Paper: DOI
  71. 71
    Stephen Checkoway, Damon McCoy, Brian Kantor, Danny Anderson, Hovav Shacham, Stefan Savage, Karl Koscher, Alexei Czeskis, Franziska Roesner, and Tadayoshi Kohno:
    Comprehensive Experimental Analyses of Automotive Attack Surfaces.
    USENIX Security Symposium, 2011
    1882 cites at Google Scholar
    1098% above average of year
    Last visited: Nov-2022
    Paper: DOI
  72. 72
    Jianbo Chen, Michael I. Jordan, and Martin J. Wainwright:
    HopSkipJumpAttack: A Query-Efficient Decision-Based Attack.
    IEEE Symposium on Security and Privacy, 2020
    320 cites at Google Scholar
    1088% above average of year
    Last visited: Nov-2022
    Paper: DOI
  73. 73
    Wenke Lee, Salvatore J. Stolfo, and Kui W. Mok:
    A Data Mining Framework for Building Intrusion Detection Models.
    IEEE Symposium on Security and Privacy, 1999
    1990 cites at Google Scholar
    1088% above average of year
    Last visited: Oct-2022
    Paper: DOI
  74. 74
    Martín Abadi and Andrew D. Gordon:
    A Calculus for Cryptographic Protocols: The Spi Calculus.
    ACM Conference on Computer and Communications Security (CCS), 1997
    2082 cites at Google Scholar
    1068% above average of year
    Last visited: Nov-2022
    Paper: DOI
  75. 75
    Eleftherios Kokoris-Kogias, Philipp Jovanovic, Linus Gasser, Nicolas Gailly, Ewa Syta, and Bryan Ford:
    OmniLedger: A Secure, Scale-Out, Decentralized Ledger via Sharding.
    IEEE Symposium on Security and Privacy, 2018
    840 cites at Google Scholar
    1053% above average of year
    Last visited: Nov-2022
    Paper: DOI
  76. 76
    Arthur Gervais, Ghassan O. Karame, Karl Wüst, Vasileios Glykantzis, Hubert Ritzdorf, and Srdjan Capkun:
    On the Security and Performance of Proof of Work Blockchains.
    ACM Conference on Computer and Communications Security (CCS), 2016
    1438 cites at Google Scholar
    1040% above average of year
    Last visited: Nov-2022
    Paper: DOI
  77. 77
    Robin Sommer and Vern Paxson:
    Outside the Closed World: On Using Machine Learning for Network Intrusion Detection.
    IEEE Symposium on Security and Privacy, 2010
    1680 cites at Google Scholar
    1031% above average of year
    Last visited: Nov-2022
    Paper: DOI
  78. 78
    Crispin Cowan, Calton Pu, Dave Maier, Heather Hintony, Jonathan Walpole, Peat Bakke, Steve Beattie, Aaron Grier, Perry Wagle, and Qian Zhang:
    StackGuard: Automatic Adaptive Detection and Prevention of Buffer-Overflow Attacks.
    USENIX Security Symposium, 1998
    2256 cites at Google Scholar
    1030% above average of year
    Last visited: Oct-2022
    Paper: DOI
  79. 79
    Nicholas Boucher, Ilia Shumailov, Ross Anderson, and Nicolas Papernot:
    Bad Characters: Imperceptible NLP Attacks.
    IEEE Symposium on Security and Privacy, 2022
    21 cites at Google Scholar
    1029% above average of year
    Last visited: Nov-2022
    Paper: DOI
  80. 80
    Timothy Trippel, Kang G. Shin, Alex Chernyakhovsky, Garret Kelly, Dominic Rizzo, and Matthew Hicks:
    Fuzzing Hardware Like Software.
    USENIX Security Symposium, 2022
    21 cites at Google Scholar
    1029% above average of year
    Last visited: Oct-2022
    Paper: DOI
  81. 81
    Joseph A. Goguen and José Meseguer:
    Unwinding and Inference Control.
    IEEE Symposium on Security and Privacy, 1984
    579 cites at Google Scholar
    1017% above average of year
    Last visited: Oct-2022
    Paper: DOI
  82. 82
    Alma Whitten and J. Doug Tygar:
    Why Johnny Can't Encrypt: A Usability Evaluation of PGP 5.0.
    USENIX Security Symposium, 1999
    1845 cites at Google Scholar
    1001% above average of year
    Last visited: Oct-2022
    Paper: DOI
  83. 83
    Christina Warrender, Stephanie Forrest, and Barak A. Pearlmutter:
    Detecting Intrusions using System Calls: Alternative Data Models.
    IEEE Symposium on Security and Privacy, 1999
    1812 cites at Google Scholar
    982% above average of year
    Last visited: Nov-2022
    Paper: DOI
  84. 84
    Konrad Kollnig, Anastasia Shuba, Reuben Binns, Max Van Kleek, and Nigel Shadbolt:
    Are iPhones Really Better for Privacy? A Comparative Study of iOS and Android Apps.
    Proceedings on Privacy Enhancing Technologies, 2022
    20 cites at Google Scholar
    975% above average of year
    Last visited: Oct-2022
    Paper: DOI
  85. 85
    Jiafan Wang and Sherman S. M. Chow:
    Forward and Backward-Secure Range-Searchable Symmetric Encryption.
    Proceedings on Privacy Enhancing Technologies, 2022
    20 cites at Google Scholar
    975% above average of year
    Last visited: Nov-2022
    Paper: DOI
  86. 86
    Giuseppe Ateniese, Kevin Fu, Matthew Green, and Susan Hohenberger:
    Improved Proxy Re-Encryption Schemes with Applications to Secure Distributed Storage.
    Network and Distributed System Security Symposium (NDSS), 2005
    1937 cites at Google Scholar
    974% above average of year
    Last visited: Nov-2022
    Paper: DOI
  87. 87
    Benedikt Bünz, Jonathan Bootle, Dan Boneh, Andrew Poelstra, Pieter Wuille, and Gregory Maxwell:
    Bulletproofs: Short Proofs for Confidential Transactions and More.
    IEEE Symposium on Security and Privacy, 2018
    779 cites at Google Scholar
    969% above average of year
    Last visited: Nov-2022
    Paper: DOI
  88. 88
    Florian Tramèr, Fan Zhang, Ari Juels, Michael K. Reiter, and Thomas Ristenpart:
    Stealing Machine Learning Models via Prediction APIs.
    USENIX Security Symposium, 2016
    1340 cites at Google Scholar
    962% above average of year
    Last visited: Oct-2022
    Paper: DOI
  89. 89
    Wenke Lee and Salvatore J. Stolfo:
    Data Mining Approaches for Intrusion Detection.
    USENIX Security Symposium, 1998
    2095 cites at Google Scholar
    950% above average of year
    Last visited: Oct-2022
    Paper: DOI
  90. 90
    J. Alex Halderman, Seth D. Schoen, Nadia Heninger, William Clarkson, William Paul, Joseph A. Calandrino, Ariel J. Feldman, Jacob Appelbaum, and Edward W. Felten:
    Lest We Remember: Cold Boot Attacks on Encryption Keys.
    USENIX Security Symposium, 2008
    1684 cites at Google Scholar
    948% above average of year
    Last visited: Nov-2022
    Paper: DOI
  91. 91
    Mahmood Sharif, Sruti Bhagavatula, Lujo Bauer, and Michael K. Reiter:
    Accessorize to a Crime: Real and Stealthy Attacks on State-of-the-Art Face Recognition.
    ACM Conference on Computer and Communications Security (CCS), 2016
    1298 cites at Google Scholar
    929% above average of year
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    Paper: DOI
  92. 92
    Ian T. Foster, Carl Kesselman, Gene Tsudik, and Steven Tuecke:
    A Security Architecture for Computational Grids.
    ACM Conference on Computer and Communications Security (CCS), 1998
    2053 cites at Google Scholar
    929% above average of year
    Last visited: Nov-2022
    Paper: DOI
  93. 93
    Sencun Zhu, Sanjeev Setia, and Sushil Jajodia:
    LEAP: efficient security mechanisms for large-scale distributed sensor networks.
    ACM Conference on Computer and Communications Security (CCS), 2003
    2659 cites at Google Scholar
    923% above average of year
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  94. 94
    Steven P. Reiss:
    Practical Data-Swapping: The First Steps.
    IEEE Symposium on Security and Privacy, 1980
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    921% above average of year
    Last visited: Nov-2022
    Paper: DOI
  95. 95
    Dongyu Meng and Hao Chen:
    MagNet: A Two-Pronged Defense against Adversarial Examples.
    ACM Conference on Computer and Communications Security (CCS), 2017
    992 cites at Google Scholar
    918% above average of year
    Last visited: Nov-2022
    Paper: DOI
  96. 96
    Liwei Song and Prateek Mittal:
    Systematic Evaluation of Privacy Risks of Machine Learning Models.
    USENIX Security Symposium, 2021
    114 cites at Google Scholar
    902% above average of year
    Last visited: Nov-2022
    Paper: DOI
  97. 97
    Xiaojun Xu, Qi Wang, Huichen Li, Nikita Borisov, Carl A. Gunter, and Bo Li:
    Detecting AI Trojans Using Meta Neural Analysis.
    IEEE Symposium on Security and Privacy, 2021
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    Paper: DOI
  98. 98
    Donggang Liu and Peng Ning:
    Establishing pairwise keys in distributed sensor networks.
    ACM Conference on Computer and Communications Security (CCS), 2003
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    892% above average of year
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    Paper: DOI
  99. 99
    Patrice Godefroid, Michael Y. Levin, and David A. Molnar:
    Automated Whitebox Fuzz Testing.
    Network and Distributed System Security Symposium (NDSS), 2008
    1590 cites at Google Scholar
    890% above average of year
    Last visited: Nov-2022
    Paper: DOI
  100. 100
    Guofei Gu, Roberto Perdisci, Junjie Zhang, and Wenke Lee:
    BotMiner: Clustering Analysis of Network Traffic for Protocol- and Structure-Independent Botnet Detection.
    USENIX Security Symposium, 2008
    1577 cites at Google Scholar
    882% above average of year
    Last visited: Oct-2022
    Paper: DOI

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