TopNotch › Security Papers › Normalized Top-100 Ranking

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
    5501 cites at Google Scholar
    6042% above average of year
    Last visited: Jul-2022
    Paper: DOI
  2. 2
    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
    1996 cites at Google Scholar
    4324% above average of year
    Last visited: Jul-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
    5917 cites at Google Scholar
    4095% above average of year
    Last visited: Jul-2022
    Paper: DOI
  4. 4
    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
    283 cites at Google Scholar
    3424% above average of year
    Last visited: Jul-2022
    Paper: DOI
  5. 5
    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
    84 cites at Google Scholar
    3418% above average of year
    Last visited: Jul-2022
    Paper: DOI
  6. 6
    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
    6131 cites at Google Scholar
    3092% above average of year
    Last visited: Jul-2022
    Paper: DOI
  7. 7
    Stephanie Forrest, Alan S. Perelson, Lawrence Allen, and Rajesh Cherukuri:
    Self-nonself discrimination in a computer.
    IEEE Symposium on Security and Privacy, 1994
    3118 cites at Google Scholar
    2958% above average of year
    Last visited: Jul-2022
    Paper: DOI
  8. 8
    John Bethencourt, Amit Sahai, and Brent Waters:
    Ciphertext-Policy Attribute-Based Encryption.
    IEEE Symposium on Security and Privacy, 2007
    5849 cites at Google Scholar
    2841% above average of year
    Last visited: Jul-2022
    Paper: DOI
  9. 9
    D. F. C. Brewer and Michael J. Nash:
    The Chinese Wall Security Policy.
    IEEE Symposium on Security and Privacy, 1989
    1448 cites at Google Scholar
    2750% above average of year
    Last visited: Jul-2022
    Paper: DOI
  10. 10
    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
    3212 cites at Google Scholar
    2622% above average of year
    Last visited: Jul-2022
    Paper: DOI
  11. 11
    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
    216 cites at Google Scholar
    2590% above average of year
    Last visited: Jul-2022
    Paper: DOI
  12. 12
    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
    3102 cites at Google Scholar
    2529% above average of year
    Last visited: Jul-2022
    Paper: DOI
  13. 13
    Dawn Xiaodong Song, David A. Wagner, and Adrian Perrig:
    Practical Techniques for Searches on Encrypted Data.
    IEEE Symposium on Security and Privacy, 2000
    4321 cites at Google Scholar
    2504% above average of year
    Last visited: Jul-2022
    Paper: DOI
  14. 14
    Roger Dingledine, Nick Mathewson, and Paul F. Syverson:
    Tor: The Second-Generation Onion Router.
    USENIX Security Symposium, 2004
    5270 cites at Google Scholar
    2328% above average of year
    Last visited: Jul-2022
    Paper: DOI
  15. 15
    Steven M. Bellovin and Michael Merritt:
    Encrypted key exchange: password-based protocols secure against dictionary attacks.
    IEEE Symposium on Security and Privacy, 1992
    2090 cites at Google Scholar
    2278% above average of year
    Last visited: Jul-2022
    Paper: DOI
  16. 16
    Reza Shokri, Marco Stronati, Congzheng Song, and Vitaly Shmatikov:
    Membership Inference Attacks Against Machine Learning Models.
    IEEE Symposium on Security and Privacy, 2017
    2055 cites at Google Scholar
    2194% above average of year
    Last visited: Jul-2022
    Paper: DOI
  17. 17
    Matt Blaze, Joan Feigenbaum, and Jack Lacy:
    Decentralized Trust Management.
    IEEE Symposium on Security and Privacy, 1996
    3367 cites at Google Scholar
    2070% above average of year
    Last visited: Jul-2022
    Paper: DOI
  18. 18
    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
    2495 cites at Google Scholar
    2014% above average of year
    Last visited: Jul-2022
    Paper: DOI
  19. 19
    Laurent Eschenauer and Virgil D. Gligor:
    A key-management scheme for distributed sensor networks.
    ACM Conference on Computer and Communications Security (CCS), 2002
    5373 cites at Google Scholar
    2000% above average of year
    Last visited: Jul-2022
    Paper: DOI
  20. 20
    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
    2292 cites at Google Scholar
    1842% above average of year
    Last visited: Jul-2022
    Paper: DOI
  21. 21
    Vern Paxson:
    Bro: A System for Detecting Network Intruders in Real-Time.
    USENIX Security Symposium, 1998
    3769 cites at Google Scholar
    1800% above average of year
    Last visited: Jan-2022
    Paper: DOI
  22. 22
    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
    2934 cites at Google Scholar
    1791% above average of year
    Last visited: Jul-2022
    Paper: DOI
  23. 23
    Yajin Zhou and Xuxian Jiang:
    Dissecting Android Malware: Characterization and Evolution.
    IEEE Symposium on Security and Privacy, 2012
    2677 cites at Google Scholar
    1777% above average of year
    Last visited: Jun-2022
    Paper: DOI
  24. 24
    Weilin Xu, David Evans, and Yanjun Qi:
    Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks.
    Network and Distributed System Security Symposium (NDSS), 2018
    1216 cites at Google Scholar
    1747% above average of year
    Last visited: Jun-2022
    Paper: DOI
  25. 25
    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
    3557 cites at Google Scholar
    1689% above average of year
    Last visited: Jul-2022
    Paper: DOI
  26. 26
    Li Gong, Roger M. Needham, and Raphael Yahalom:
    Reasoning about Belief in Cryptographic Protocols.
    IEEE Symposium on Security and Privacy, 1990
    996 cites at Google Scholar
    1687% above average of year
    Last visited: Jul-2022
    Paper: DOI
  27. 27
    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
    2094 cites at Google Scholar
    1682% above average of year
    Last visited: Jul-2022
    Paper: DOI
  28. 28
    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
    1579 cites at Google Scholar
    1663% above average of year
    Last visited: Jul-2022
    Paper: DOI
  29. 29
    Arvind Narayanan and Vitaly Shmatikov:
    Robust De-anonymization of Large Sparse Datasets.
    IEEE Symposium on Security and Privacy, 2008
    2750 cites at Google Scholar
    1640% above average of year
    Last visited: Jun-2022
    Paper: DOI
  30. 30
    Dorothy E. Denning:
    An Intrusion-Detection Model.
    IEEE Symposium on Security and Privacy, 1986
    5861 cites at Google Scholar
    1618% above average of year
    Last visited: Jun-2022
    Paper: DOI
  31. 31
    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
    2967 cites at Google Scholar
    1612% above average of year
    Last visited: Jul-2022
    Paper: DOI
  32. 32
    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
    1112 cites at Google Scholar
    1589% above average of year
    Last visited: Jul-2022
    Paper: DOI
  33. 33
    Haowen Chan, Adrian Perrig, and Dawn Xiaodong Song:
    Random Key Predistribution Schemes for Sensor Networks.
    IEEE Symposium on Security and Privacy, 2003
    4292 cites at Google Scholar
    1574% above average of year
    Last visited: Jul-2022
    Paper: DOI
  34. 34
    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
    2778 cites at Google Scholar
    1503% above average of year
    Last visited: Jul-2022
    Paper: DOI
  35. 35
    Jeffrey O. Kephart and Steve R. White:
    Directed-Graph Epidemiological Models of Computer Viruses.
    IEEE Symposium on Security and Privacy, 1991
    1140 cites at Google Scholar
    1495% above average of year
    Last visited: Jun-2022
    Paper: DOI
  36. 36
    Alessandro Acquisti and Ralph Gross:
    Imagined Communities: Awareness, Information Sharing, and Privacy on the Facebook.
    International Symposium on Privacy Enhancing Technologies (PETS), 2006
    3043 cites at Google Scholar
    1484% above average of year
    Last visited: Jul-2022
    Paper: DOI
  37. 37
    Luca Melis, Congzheng Song, Emiliano De Cristofaro, and Vitaly Shmatikov:
    Exploiting Unintended Feature Leakage in Collaborative Learning.
    IEEE Symposium on Security and Privacy, 2019
    712 cites at Google Scholar
    1478% above average of year
    Last visited: Jul-2022
    Paper: DOI
  38. 38
    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
    1406 cites at Google Scholar
    1470% above average of year
    Last visited: Jul-2022
    Paper: DOI
  39. 39
    Reza Shokri and Vitaly Shmatikov:
    Privacy-Preserving Deep Learning.
    ACM Conference on Computer and Communications Security (CCS), 2015
    1657 cites at Google Scholar
    1461% above average of year
    Last visited: Jul-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
    1655 cites at Google Scholar
    1459% above average of year
    Last visited: Jul-2022
    Paper: DOI
  41. 41
    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
    2939 cites at Google Scholar
    1430% above average of year
    Last visited: Jul-2022
    Paper: DOI
  42. 42
    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
    1786 cites at Google Scholar
    1420% above average of year
    Last visited: Jul-2022
    Paper: DOI
  43. 43
    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
    118 cites at Google Scholar
    1369% above average of year
    Last visited: Jul-2022
    Paper: DOI
  44. 44
    Joseph A. Goguen and José Meseguer:
    Security Policies and Security Models.
    IEEE Symposium on Security and Privacy, 1982
    2889 cites at Google Scholar
    1362% above average of year
    Last visited: Jul-2022
    Paper: DOI
  45. 45
    Phillip A. Porras and Richard A. Kemmerer:
    Penetration state transition analysis: A rule-based intrusion detection approach.
    Annual Computer Security Applications Conference (ACSAC), 1992
    1244 cites at Google Scholar
    1316% above average of year
    Last visited: Jul-2022
    Paper: DOI
  46. 46
    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
    2052 cites at Google Scholar
    1308% above average of year
    Last visited: Jul-2022
    Paper: DOI
  47. 47
    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
    1621 cites at Google Scholar
    1274% above average of year
    Last visited: Jul-2022
    Paper: DOI
  48. 48
    Minghong Fang, Xiaoyu Cao, Jinyuan Jia, and Neil Zhenqiang Gong:
    Local Model Poisoning Attacks to Byzantine-Robust Federated Learning.
    USENIX Security Symposium, 2020
    285 cites at Google Scholar
    1209% above average of year
    Last visited: Jul-2022
    Paper: DOI
  49. 49
    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
    590 cites at Google Scholar
    1208% above average of year
    Last visited: Jul-2022
    Paper: DOI
  50. 50
    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
    588 cites at Google Scholar
    1203% above average of year
    Last visited: Jul-2022
    Paper: DOI
  51. 51
    Payman Mohassel and Yupeng Zhang:
    SecureML: A System for Scalable Privacy-Preserving Machine Learning.
    IEEE Symposium on Security and Privacy, 2017
    1167 cites at Google Scholar
    1203% above average of year
    Last visited: Jul-2022
    Paper: DOI
  52. 52
    Ari Juels and Burton S. Kaliski Jr.:
    Pors: proofs of retrievability for large files.
    ACM Conference on Computer and Communications Security (CCS), 2007
    2564 cites at Google Scholar
    1189% above average of year
    Last visited: Jul-2022
    Paper: DOI
  53. 53
    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
    2259 cites at Google Scholar
    1186% above average of year
    Last visited: Jul-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
    580 cites at Google Scholar
    1186% above average of year
    Last visited: Jul-2022
    Paper: DOI
  55. 55
    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
    1946 cites at Google Scholar
    1163% above average of year
    Last visited: Jul-2022
    Paper: DOI
  56. 56
    Úlfar Erlingsson, Vasyl Pihur, and Aleksandra Korolova:
    RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response.
    ACM Conference on Computer and Communications Security (CCS), 2014
    1484 cites at Google Scholar
    1163% above average of year
    Last visited: Jul-2022
    Paper: DOI
  57. 57
    Martín Abadi, Mihai Budiu, Úlfar Erlingsson, and Jay Ligatti:
    Control-flow integrity.
    ACM Conference on Computer and Communications Security (CCS), 2005
    2215 cites at Google Scholar
    1161% above average of year
    Last visited: Jul-2022
    Paper: DOI
  58. 58
    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
    1322 cites at Google Scholar
    1146% above average of year
    Last visited: Jul-2022
    Paper: DOI
  59. 59
    David D. Clark and D. R. Wilson:
    A Comparison of Commercial and Military Computer Security Policies.
    IEEE Symposium on Security and Privacy, 1987
    1925 cites at Google Scholar
    1144% above average of year
    Last visited: Jul-2022
    Paper: DOI
  60. 60
    Ari Juels and Martin Wattenberg:
    A Fuzzy Commitment Scheme.
    ACM Conference on Computer and Communications Security (CCS), 1999
    2052 cites at Google Scholar
    1135% above average of year
    Last visited: Jul-2022
    Paper: DOI
  61. 61
    Thomas Beth, Malte Borcherding, and Birgit Klein:
    Valuation of Trust in Open Networks.
    European Symposium on Research in Computer Security (ESORICS), 1994
    1242 cites at Google Scholar
    1118% above average of year
    Last visited: Jul-2022
    Paper: DOI
  62. 62
    Yuval Yarom and Katrina Falkner:
    FLUSH+RELOAD: A High Resolution, Low Noise, L3 Cache Side-Channel Attack.
    USENIX Security Symposium, 2014
    1426 cites at Google Scholar
    1113% above average of year
    Last visited: Jun-2022
    Paper: DOI
  63. 63
    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
    1975 cites at Google Scholar
    1089% above average of year
    Last visited: Jul-2022
    Paper: DOI
  64. 64
    Jianbo Chen, Michael I. Jordan, and Martin J. Wainwright:
    HopSkipJumpAttack: A Query-Efficient Decision-Based Attack.
    IEEE Symposium on Security and Privacy, 2020
    258 cites at Google Scholar
    1085% above average of year
    Last visited: Jul-2022
    Paper: DOI
  65. 65
    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
    1818 cites at Google Scholar
    1080% above average of year
    Last visited: Jul-2022
    Paper: DOI
  66. 66
    Martín Abadi and Andrew D. Gordon:
    A Calculus for Cryptographic Protocols: The Spi Calculus.
    ACM Conference on Computer and Communications Security (CCS), 1997
    2073 cites at Google Scholar
    1071% above average of year
    Last visited: Jul-2022
    Paper: DOI
  67. 67
    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
    748 cites at Google Scholar
    1036% above average of year
    Last visited: Jul-2022
    Paper: DOI
  68. 68
    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
    2222 cites at Google Scholar
    1020% above average of year
    Last visited: Jun-2022
    Paper: DOI
  69. 69
    Joseph A. Goguen and José Meseguer:
    Unwinding and Inference Control.
    IEEE Symposium on Security and Privacy, 1984
    579 cites at Google Scholar
    1018% above average of year
    Last visited: Jul-2022
    Paper: DOI
  70. 70
    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
    1313 cites at Google Scholar
    1013% above average of year
    Last visited: Jul-2022
    Paper: DOI
  71. 71
    Robin Sommer and Vern Paxson:
    Outside the Closed World: On Using Machine Learning for Network Intrusion Detection.
    IEEE Symposium on Security and Privacy, 2010
    1621 cites at Google Scholar
    1012% above average of year
    Last visited: Jul-2022
    Paper: DOI
  72. 72
    Alma Whitten and J. Doug Tygar:
    Why Johnny Can't Encrypt: A Usability Evaluation of PGP 5.0.
    USENIX Security Symposium, 1999
    1817 cites at Google Scholar
    994% above average of year
    Last visited: Jun-2022
    Paper: DOI
  73. 73
    Christina Warrender, Stephanie Forrest, and Barak A. Pearlmutter:
    Detecting Intrusions using System Calls: Alternative Data Models.
    IEEE Symposium on Security and Privacy, 1999
    1797 cites at Google Scholar
    982% above average of year
    Last visited: Jul-2022
    Paper: DOI
  74. 74
    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
    1892 cites at Google Scholar
    977% above average of year
    Last visited: Jul-2022
    Paper: DOI
  75. 75
    Liwei Song and Prateek Mittal:
    Systematic Evaluation of Privacy Risks of Machine Learning Models.
    USENIX Security Symposium, 2021
    85 cites at Google Scholar
    958% above average of year
    Last visited: Jul-2022
    Paper: DOI
  76. 76
    Wenke Lee and Salvatore J. Stolfo:
    Data Mining Approaches for Intrusion Detection.
    USENIX Security Symposium, 1998
    2084 cites at Google Scholar
    950% above average of year
    Last visited: Jul-2022
    Paper: DOI
  77. 77
    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
    691 cites at Google Scholar
    950% above average of year
    Last visited: Jul-2022
    Paper: DOI
  78. 78
    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
    1648 cites at Google Scholar
    943% above average of year
    Last visited: Jul-2022
    Paper: DOI
  79. 79
    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
    1222 cites at Google Scholar
    936% above average of year
    Last visited: Jul-2022
    Paper: DOI
  80. 80
    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
    2652 cites at Google Scholar
    934% above average of year
    Last visited: Jul-2022
    Paper: DOI
  81. 81
    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
    83 cites at Google Scholar
    933% above average of year
    Last visited: Jul-2022
    Paper: DOI
  82. 82
    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
    2046 cites at Google Scholar
    931% above average of year
    Last visited: Jul-2022
    Paper: DOI
  83. 83
    Steven P. Reiss:
    Practical Data-Swapping: The First Steps.
    IEEE Symposium on Security and Privacy, 1980
    224 cites at Google Scholar
    924% above average of year
    Last visited: Jul-2022
    Paper: DOI
  84. 84
    Florian Tramèr, Fan Zhang, Ari Juels, Michael K. Reiter, and Thomas Ristenpart:
    Stealing Machine Learning Models via Prediction APIs.
    USENIX Security Symposium, 2016
    1207 cites at Google Scholar
    923% above average of year
    Last visited: Jun-2022
    Paper: DOI
  85. 85
    Dongyu Meng and Hao Chen:
    MagNet: A Two-Pronged Defense against Adversarial Examples.
    ACM Conference on Computer and Communications Security (CCS), 2017
    915 cites at Google Scholar
    922% above average of year
    Last visited: Jul-2022
    Paper: DOI
  86. 86
    Donggang Liu and Peng Ning:
    Establishing pairwise keys in distributed sensor networks.
    ACM Conference on Computer and Communications Security (CCS), 2003
    2566 cites at Google Scholar
    901% above average of year
    Last visited: Jun-2022
    Paper: DOI
  87. 87
    Patrice Godefroid, Michael Y. Levin, and David A. Molnar:
    Automated Whitebox Fuzz Testing.
    Network and Distributed System Security Symposium (NDSS), 2008
    1553 cites at Google Scholar
    883% above average of year
    Last visited: Jul-2022
    Paper: DOI
  88. 88
    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
    1551 cites at Google Scholar
    882% above average of year
    Last visited: Jul-2022
    Paper: DOI
  89. 89
    Martín Abadi and Roger M. Needham:
    Prudent engineering practice for cryptographic protocols.
    IEEE Symposium on Security and Privacy, 1994
    997 cites at Google Scholar
    878% above average of year
    Last visited: Jul-2022
    Paper: DOI
  90. 90
    David Moore, Geoffrey M. Voelker, and Stefan Savage:
    Inferring Internet Denial-of-Service Activity.
    USENIX Security Symposium, 2001
    2119 cites at Google Scholar
    876% above average of year
    Last visited: Jul-2022
    Paper: DOI
  91. 91
    Leixiao Cheng and Fei Meng:
    Server-Aided Revocable Attribute-Based Encryption Revised: Multi-User Setting and Fully Secure.
    European Symposium on Research in Computer Security (ESORICS), 2021
    78 cites at Google Scholar
    871% above average of year
    Last visited: Jul-2022
    Paper: DOI
  92. 92
    Sameer Wagh, Shruti Tople, Fabrice Benhamouda, Eyal Kushilevitz, Prateek Mittal, and Tal Rabin:
    Falcon: Honest-Majority Maliciously Secure Framework for Private Deep Learning.
    Proceedings on Privacy Enhancing Technologies, 2021
    77 cites at Google Scholar
    859% above average of year
    Last visited: Jul-2022
    Paper: DOI
  93. 93
    Arvind Narayanan and Vitaly Shmatikov:
    De-anonymizing Social Networks.
    IEEE Symposium on Security and Privacy, 2009
    1642 cites at Google Scholar
    848% above average of year
    Last visited: Jul-2022
    Paper: DOI
  94. 94
    Fangfei Liu, Yuval Yarom, Qian Ge, Gernot Heiser, and Ruby B. Lee:
    Last-Level Cache Side-Channel Attacks are Practical.
    IEEE Symposium on Security and Privacy, 2015
    1005 cites at Google Scholar
    847% above average of year
    Last visited: Jul-2022
    Paper: DOI
  95. 95
    C. Christopher Erway, Alptekin Küpçü, Charalampos Papamanthou, and Roberto Tamassia:
    Dynamic provable data possession.
    ACM Conference on Computer and Communications Security (CCS), 2009
    1623 cites at Google Scholar
    837% above average of year
    Last visited: Jul-2022
    Paper: DOI
  96. 96
    Nicholas Carlini, Chang Liu, Úlfar Erlingsson, Jernej Kos, and Dawn Song:
    The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks.
    USENIX Security Symposium, 2019
    421 cites at Google Scholar
    833% above average of year
    Last visited: Jul-2022
    Paper: DOI
  97. 97
    Hervé Debar, Monique Becker, and Didier Siboni:
    A neural network component for an intrusion detection system.
    IEEE Symposium on Security and Privacy, 1992
    804 cites at Google Scholar
    815% above average of year
    Last visited: Jul-2022
    Paper: DOI
  98. 98
    Briland Hitaj, Giuseppe Ateniese, and Fernando Pérez-Cruz:
    Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning.
    ACM Conference on Computer and Communications Security (CCS), 2017
    815 cites at Google Scholar
    810% above average of year
    Last visited: Jul-2022
    Paper: DOI
  99. 99
    Ahmed Salem, Yang Zhang, Mathias Humbert, Pascal Berrang, Mario Fritz, and Michael Backes:
    ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models.
    Network and Distributed System Security Symposium (NDSS), 2019
    408 cites at Google Scholar
    804% above average of year
    Last visited: Jul-2022
    Paper: DOI
  100. 100
    Timon Gehr, Matthew Mirman, Dana Drachsler-Cohen, Petar Tsankov, Swarat Chaudhuri, and Martin T. Vechev:
    AI2: Safety and Robustness Certification of Neural Networks with Abstract Interpretation.
    IEEE Symposium on Security and Privacy, 2018
    592 cites at Google Scholar
    799% above average of year
    Last visited: Jul-2022
    Paper: DOI

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Last updated: 2022-07-22 12:55:48 CEST