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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
    4932 cites at Google Scholar
    5645% above average of year
    Last visited: Mar-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
    1826 cites at Google Scholar
    4655% above average of year
    Last visited: Mar-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
    5847 cites at Google Scholar
    4031% above average of year
    Last visited: Mar-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
    179 cites at Google Scholar
    3787% above average of year
    Last visited: Feb-2022
    Paper: DOI
  5. 5
    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
    6037 cites at Google Scholar
    2955% above average of year
    Last visited: Mar-2022
    Paper: DOI
  6. 6
    Stephanie Forrest, Alan S. Perelson, Lawrence Allen, and Rajesh Cherukuri:
    Self-nonself discrimination in a computer.
    IEEE Symposium on Security and Privacy, 1994
    3066 cites at Google Scholar
    2887% above average of year
    Last visited: Feb-2022
    Paper: DOI
  7. 7
    D. F. C. Brewer and Michael J. Nash:
    The Chinese Wall Security Policy.
    IEEE Symposium on Security and Privacy, 1989
    1443 cites at Google Scholar
    2748% above average of year
    Last visited: Feb-2022
    Paper: DOI
  8. 8
    John Bethencourt, Amit Sahai, and Brent Waters:
    Ciphertext-Policy Attribute-Based Encryption.
    IEEE Symposium on Security and Privacy, 2007
    5697 cites at Google Scholar
    2669% above average of year
    Last visited: Feb-2022
    Paper: DOI
  9. 9
    Dawn Xiaodong Song, David A. Wagner, and Adrian Perrig:
    Practical Techniques for Searches on Encrypted Data.
    IEEE Symposium on Security and Privacy, 2000
    4179 cites at Google Scholar
    2479% above average of year
    Last visited: Feb-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
    2885 cites at Google Scholar
    2389% above average of year
    Last visited: Feb-2022
    Paper: DOI
  11. 11
    Steven M. Bellovin and Michael Merritt:
    Encrypted key exchange: password-based protocols secure against dictionary attacks.
    IEEE Symposium on Security and Privacy, 1992
    2066 cites at Google Scholar
    2235% above average of year
    Last visited: Feb-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
    2656 cites at Google Scholar
    2191% above average of year
    Last visited: Feb-2022
    Paper: DOI
  13. 13
    Roger Dingledine, Nick Mathewson, and Paul F. Syverson:
    Tor: The Second-Generation Onion Router.
    USENIX Security Symposium, 2004
    5181 cites at Google Scholar
    2135% above average of year
    Last visited: Mar-2022
    Paper: DOI
  14. 14
    Matt Blaze, Joan Feigenbaum, and Jack Lacy:
    Decentralized Trust Management.
    IEEE Symposium on Security and Privacy, 1996
    3354 cites at Google Scholar
    2027% above average of year
    Last visited: Feb-2022
    Paper: DOI
  15. 15
    Laurent Eschenauer and Virgil D. Gligor:
    A key-management scheme for distributed sensor networks.
    ACM Conference on Computer and Communications Security (CCS), 2002
    5379 cites at Google Scholar
    1948% above average of year
    Last visited: Mar-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
    1724 cites at Google Scholar
    1908% above average of year
    Last visited: Feb-2022
    Paper: DOI
  17. 17
    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
    2320 cites at Google Scholar
    1901% above average of year
    Last visited: Mar-2022
    Paper: DOI
  18. 18
    Weilin Xu, David Evans, and Yanjun Qi:
    Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks.
    Network and Distributed System Security Symposium (NDSS), 2018
    1083 cites at Google Scholar
    1779% above average of year
    Last visited: Feb-2022
    Paper: DOI
  19. 19
    Vern Paxson:
    Bro: A System for Detecting Network Intruders in Real-Time.
    USENIX Security Symposium, 1998
    3769 cites at Google Scholar
    1772% above average of year
    Last visited: Jan-2022
    Paper: DOI
  20. 20
    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
    2923 cites at Google Scholar
    1754% above average of year
    Last visited: Feb-2022
    Paper: DOI
  21. 21
    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
    2115 cites at Google Scholar
    1725% above average of year
    Last visited: Feb-2022
    Paper: DOI
  22. 22
    Yajin Zhou and Xuxian Jiang:
    Dissecting Android Malware: Characterization and Evolution.
    IEEE Symposium on Security and Privacy, 2012
    2628 cites at Google Scholar
    1717% above average of year
    Last visited: Feb-2022
    Paper: DOI
  23. 23
    Li Gong, Roger M. Needham, and Raphael Yahalom:
    Reasoning about Belief in Cryptographic Protocols.
    IEEE Symposium on Security and Privacy, 1990
    985 cites at Google Scholar
    1660% above average of year
    Last visited: Feb-2022
    Paper: DOI
  24. 24
    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
    81 cites at Google Scholar
    1659% above average of year
    Last visited: Feb-2022
    Paper: DOI
  25. 25
    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
    1010 cites at Google Scholar
    1653% above average of year
    Last visited: Mar-2022
    Paper: DOI
  26. 26
    Dorothy E. Denning:
    An Intrusion-Detection Model.
    IEEE Symposium on Security and Privacy, 1986
    5749 cites at Google Scholar
    1611% above average of year
    Last visited: Mar-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
    1980 cites at Google Scholar
    1609% above average of year
    Last visited: Mar-2022
    Paper: DOI
  28. 28
    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
    3445 cites at Google Scholar
    1574% above average of year
    Last visited: Feb-2022
    Paper: DOI
  29. 29
    Arvind Narayanan and Vitaly Shmatikov:
    Robust De-anonymization of Large Sparse Datasets.
    IEEE Symposium on Security and Privacy, 2008
    2621 cites at Google Scholar
    1515% above average of year
    Last visited: Mar-2022
    Paper: DOI
  30. 30
    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
    2812 cites at Google Scholar
    1504% above average of year
    Last visited: Feb-2022
    Paper: DOI
  31. 31
    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
    1370 cites at Google Scholar
    1496% above average of year
    Last visited: Feb-2022
    Paper: DOI
  32. 32
    Jeffrey O. Kephart and Steve R. White:
    Directed-Graph Epidemiological Models of Computer Viruses.
    IEEE Symposium on Security and Privacy, 1991
    1126 cites at Google Scholar
    1484% above average of year
    Last visited: Mar-2022
    Paper: DOI
  33. 33
    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
    2739 cites at Google Scholar
    1463% above average of year
    Last visited: Feb-2022
    Paper: DOI
  34. 34
    Haowen Chan, Adrian Perrig, and Dawn Xiaodong Song:
    Random Key Predistribution Schemes for Sensor Networks.
    IEEE Symposium on Security and Privacy, 2003
    4276 cites at Google Scholar
    1446% above average of year
    Last visited: Feb-2022
    Paper: DOI
  35. 35
    Luca Melis, Congzheng Song, Emiliano De Cristofaro, and Vitaly Shmatikov:
    Exploiting Unintended Feature Leakage in Collaborative Learning.
    IEEE Symposium on Security and Privacy, 2019
    585 cites at Google Scholar
    1423% above average of year
    Last visited: Mar-2022
    Paper: DOI
  36. 36
    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
    70 cites at Google Scholar
    1420% above average of year
    Last visited: Mar-2022
    Paper: DOI
  37. 37
    Reza Shokri and Vitaly Shmatikov:
    Privacy-Preserving Deep Learning.
    ACM Conference on Computer and Communications Security (CCS), 2015
    1490 cites at Google Scholar
    1375% above average of year
    Last visited: Feb-2022
    Paper: DOI
  38. 38
    Joseph A. Goguen and José Meseguer:
    Security Policies and Security Models.
    IEEE Symposium on Security and Privacy, 1982
    2900 cites at Google Scholar
    1365% above average of year
    Last visited: Mar-2022
    Paper: DOI
  39. 39
    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
    67 cites at Google Scholar
    1355% above average of year
    Last visited: Feb-2022
    Paper: DOI
  40. 40
    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
    2832 cites at Google Scholar
    1333% above average of year
    Last visited: Feb-2022
    Paper: DOI
  41. 41
    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
    1660 cites at Google Scholar
    1333% above average of year
    Last visited: Feb-2022
    Paper: DOI
  42. 42
    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
    1443 cites at Google Scholar
    1328% above average of year
    Last visited: Feb-2022
    Paper: DOI
  43. 43
    Phillip A. Porras and Richard A. Kemmerer:
    Penetration state transition analysis: A rule-based intrusion detection approach.
    Annual Computer Security Applications Conference (ACSAC), 1992
    1235 cites at Google Scholar
    1296% above average of year
    Last visited: Feb-2022
    Paper: DOI
  44. 44
    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
    536 cites at Google Scholar
    1296% above average of year
    Last visited: Mar-2022
    Paper: DOI
  45. 45
    Keith 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
    1186 cites at Google Scholar
    1281% above average of year
    Last visited: Feb-2022
    Paper: DOI
  46. 46
    Karl Koscher, Alexei Czeskis, Franziska Roesner, Shwetak 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
    1960 cites at Google Scholar
    1244% above average of year
    Last visited: Feb-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
    1513 cites at Google Scholar
    1205% above average of year
    Last visited: Mar-2022
    Paper: DOI
  48. 48
    David D. Clark and D. R. Wilson:
    A Comparison of Commercial and Military Computer Security Policies.
    IEEE Symposium on Security and Privacy, 1987
    1915 cites at Google Scholar
    1160% above average of year
    Last visited: Feb-2022
    Paper: DOI
  49. 49
    Liwei Song and Prateek Mittal:
    Systematic Evaluation of Privacy Risks of Machine Learning Models.
    USENIX Security Symposium, 2021
    58 cites at Google Scholar
    1159% above average of year
    Last visited: Feb-2022
    Paper: DOI
  50. 50
    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
    480 cites at Google Scholar
    1150% above average of year
    Last visited: Mar-2022
    Paper: DOI
  51. 51
    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
    1262 cites at Google Scholar
    1149% above average of year
    Last visited: Mar-2022
    Paper: DOI
  52. 52
    Minghong Fang, Xiaoyu Cao, Jinyuan Jia, and Neil Zhenqiang Gong:
    Local Model Poisoning Attacks to Byzantine-Robust Federated Learning.
    USENIX Security Symposium, 2020
    214 cites at Google Scholar
    1140% above average of year
    Last visited: Mar-2022
    Paper: DOI
  53. 53
    Ari Juels and Martin Wattenberg:
    A Fuzzy Commitment Scheme.
    ACM Conference on Computer and Communications Security (CCS), 1999
    2021 cites at Google Scholar
    1134% above average of year
    Last visited: Mar-2022
    Paper: DOI
  54. 54
    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
    1900 cites at Google Scholar
    1130% above average of year
    Last visited: Feb-2022
    Paper: DOI
  55. 55
    Jianbo Chen, Michael I. Jordan, and Martin J. Wainwright:
    HopSkipJumpAttack: A Query-Efficient Decision-Based Attack.
    IEEE Symposium on Security and Privacy, 2020
    211 cites at Google Scholar
    1123% above average of year
    Last visited: Mar-2022
    Paper: DOI
  56. 56
    Manuel Barbosa, Gilles Barthe, Karthik Bhargavan, Bruno Blanchet, Cas Cremers, Kevin Liao, and Bryan Parno:
    SoK: Computer-Aided Cryptography.
    IEEE Symposium on Security and Privacy, 2021
    56 cites at Google Scholar
    1116% above average of year
    Last visited: Feb-2022
    Paper: DOI
  57. 57
    Ari Juels and Burton S. Kaliski Jr.:
    Pors: proofs of retrievability for large files.
    ACM Conference on Computer and Communications Security (CCS), 2007
    2493 cites at Google Scholar
    1112% above average of year
    Last visited: Mar-2022
    Paper: DOI
  58. 58
    Thomas Beth, Malte Borcherding, and Birgit Klein:
    Valuation of Trust in Open Networks.
    European Symposium on Research in Computer Security (ESORICS), 1994
    1239 cites at Google Scholar
    1107% above average of year
    Last visited: Feb-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
    1033 cites at Google Scholar
    1103% above average of year
    Last visited: Mar-2022
    Paper: DOI
  60. 60
    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
    462 cites at Google Scholar
    1103% above average of year
    Last visited: Mar-2022
    Paper: DOI
  61. 61
    Úlfar Erlingsson, Vasyl Pihur, and Aleksandra Korolova:
    RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response.
    ACM Conference on Computer and Communications Security (CCS), 2014
    1391 cites at Google Scholar
    1101% above average of year
    Last visited: Mar-2022
    Paper: DOI
  62. 62
    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
    1963 cites at Google Scholar
    1098% above average of year
    Last visited: Feb-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
    2203 cites at Google Scholar
    1090% above average of year
    Last visited: Feb-2022
    Paper: DOI
  64. 64
    Martín Abadi and Andrew D. Gordon:
    A Calculus for Cryptographic Protocols: The Spi Calculus.
    ACM Conference on Computer and Communications Security (CCS), 1997
    2065 cites at Google Scholar
    1064% above average of year
    Last visited: Mar-2022
    Paper: DOI
  65. 65
    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
    669 cites at Google Scholar
    1061% above average of year
    Last visited: Feb-2022
    Paper: DOI
  66. 66
    Martín Abadi, Mihai Budiu, Úlfar Erlingsson, and Jay Ligatti:
    Control-flow integrity.
    ACM Conference on Computer and Communications Security (CCS), 2005
    2135 cites at Google Scholar
    1053% above average of year
    Last visited: Mar-2022
    Paper: DOI
  67. 67
    Guangke Chen, Sen Chen, Lingling Fan, Xiaoning Du, Zhe Zhao, Fu Song, and Yang Liu:
    Who is Real Bob? Adversarial Attacks on Speaker Recognition Systems.
    IEEE Symposium on Security and Privacy, 2021
    53 cites at Google Scholar
    1051% above average of year
    Last visited: Feb-2022
    Paper: DOI
  68. 68
    Yuval Yarom and Katrina Falkner:
    FLUSH+RELOAD: A High Resolution, Low Noise, L3 Cache Side-Channel Attack.
    USENIX Security Symposium, 2014
    1332 cites at Google Scholar
    1050% above average of year
    Last visited: Mar-2022
    Paper: DOI
  69. 69
    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
    1730 cites at Google Scholar
    1020% above average of year
    Last visited: Mar-2022
    Paper: DOI
  70. 70
    Joseph A. Goguen and José Meseguer:
    Unwinding and Inference Control.
    IEEE Symposium on Security and Privacy, 1984
    566 cites at Google Scholar
    1003% above average of year
    Last visited: Feb-2022
    Paper: DOI
  71. 71
    Christina Warrender, Stephanie Forrest, and Barak A. Pearlmutter:
    Detecting Intrusions using System Calls: Alternative Data Models.
    IEEE Symposium on Security and Privacy, 1999
    1786 cites at Google Scholar
    990% above average of year
    Last visited: Mar-2022
    Paper: DOI
  72. 72
    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
    2178 cites at Google Scholar
    982% above average of year
    Last visited: Mar-2022
    Paper: DOI
  73. 73
    Alma Whitten and J. Doug Tygar:
    Why Johnny Can't Encrypt: A Usability Evaluation of PGP 5.0.
    USENIX Security Symposium, 1999
    1766 cites at Google Scholar
    978% above average of year
    Last visited: Feb-2022
    Paper: DOI
  74. 74
    Robin Sommer and Vern Paxson:
    Outside the Closed World: On Using Machine Learning for Network Intrusion Detection.
    IEEE Symposium on Security and Privacy, 2010
    1550 cites at Google Scholar
    963% above average of year
    Last visited: Mar-2022
    Paper: DOI
  75. 75
    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
    1217 cites at Google Scholar
    950% above average of year
    Last visited: Mar-2022
    Paper: DOI
  76. 76
    Wenke Lee and Salvatore J. Stolfo:
    Data Mining Approaches for Intrusion Detection.
    USENIX Security Symposium, 1998
    2073 cites at Google Scholar
    930% above average of year
    Last visited: Feb-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
    588 cites at Google Scholar
    920% above average of year
    Last visited: Feb-2022
    Paper: DOI
  78. 78
    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
    2051 cites at Google Scholar
    919% above average of year
    Last visited: Mar-2022
    Paper: DOI
  79. 79
    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
    1859 cites at Google Scholar
    904% above average of year
    Last visited: Mar-2022
    Paper: DOI
  80. 80
    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
    1609 cites at Google Scholar
    891% above average of year
    Last visited: Mar-2022
    Paper: DOI
  81. 81
    Eugene Bagdasaryan and Vitaly Shmatikov:
    Blind Backdoors in Deep Learning Models.
    USENIX Security Symposium, 2021
    45 cites at Google Scholar
    877% above average of year
    Last visited: Feb-2022
    Paper: DOI
  82. 82
    Martín Abadi and Roger M. Needham:
    Prudent engineering practice for cryptographic protocols.
    IEEE Symposium on Security and Privacy, 1994
    996 cites at Google Scholar
    870% above average of year
    Last visited: Feb-2022
    Paper: DOI
  83. 83
    Dongyu Meng and Hao Chen:
    MagNet: A Two-Pronged Defense against Adversarial Examples.
    ACM Conference on Computer and Communications Security (CCS), 2017
    832 cites at Google Scholar
    869% above average of year
    Last visited: Mar-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
    1114 cites at Google Scholar
    861% above average of year
    Last visited: Feb-2022
    Paper: DOI
  85. 85
    David Moore, Geoffrey M. Voelker, and Stefan Savage:
    Inferring Internet Denial-of-Service Activity.
    USENIX Security Symposium, 2001
    2100 cites at Google Scholar
    857% above average of year
    Last visited: Feb-2022
    Paper: DOI
  86. 86
    Liyi Zhou, Kaihua Qin, Christof Ferreira Torres, Duc Viet Le, and Arthur Gervais:
    High-Frequency Trading on Decentralized On-Chain Exchanges.
    IEEE Symposium on Security and Privacy, 2021
    44 cites at Google Scholar
    855% above average of year
    Last visited: Feb-2022
    Paper: DOI
  87. 87
    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
    2641 cites at Google Scholar
    855% above average of year
    Last visited: Feb-2022
    Paper: DOI
  88. 88
    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
    1101 cites at Google Scholar
    850% above average of year
    Last visited: Feb-2022
    Paper: DOI
  89. 89
    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
    1527 cites at Google Scholar
    841% above average of year
    Last visited: Mar-2022
    Paper: DOI
  90. 90
    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
    535 cites at Google Scholar
    828% above average of year
    Last visited: Mar-2022
    Paper: DOI
  91. 91
    Donggang Liu and Peng Ning:
    Establishing pairwise keys in distributed sensor networks.
    ACM Conference on Computer and Communications Security (CCS), 2003
    2567 cites at Google Scholar
    828% above average of year
    Last visited: Feb-2022
    Paper: DOI
  92. 92
    Patrice Godefroid, Michael Y. Levin, and David A. Molnar:
    Automated Whitebox Fuzz Testing.
    Network and Distributed System Security Symposium (NDSS), 2008
    1506 cites at Google Scholar
    828% above average of year
    Last visited: Feb-2022
    Paper: DOI
  93. 93
    Arvind Narayanan and Vitaly Shmatikov:
    De-anonymizing Social Networks.
    IEEE Symposium on Security and Privacy, 2009
    1612 cites at Google Scholar
    820% above average of year
    Last visited: Mar-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
    922 cites at Google Scholar
    813% above average of year
    Last visited: Feb-2022
    Paper: DOI
  95. 95
    Hervé Debar, Monique Becker, and Didier Siboni:
    A neural network component for an intrusion detection system.
    IEEE Symposium on Security and Privacy, 1992
    805 cites at Google Scholar
    810% above average of year
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    Paper: DOI
  96. 96
    C. Christopher Erway, Alptekin Küpçü, Charalampos Papamanthou, and Roberto Tamassia:
    Dynamic provable data possession.
    ACM Conference on Computer and Communications Security (CCS), 2009
    1564 cites at Google Scholar
    792% above average of year
    Last visited: Feb-2022
    Paper: DOI
  97. 97
    Stephan van Schaik, Marina Minkin, Andrew Kwong, Daniel Genkin, and Yuval Yarom:
    CacheOut: Leaking Data on Intel CPUs via Cache Evictions.
    IEEE Symposium on Security and Privacy, 2021
    41 cites at Google Scholar
    790% above average of year
    Last visited: Feb-2022
    Paper: DOI
  98. 98
    Hany Ragab, Alyssa Milburn, Kaveh Razavi, Herbert Bos, and Cristiano Giuffrida:
    CrossTalk: Speculative Data Leaks Across Cores Are Real.
    IEEE Symposium on Security and Privacy, 2021
    41 cites at Google Scholar
    790% above average of year
    Last visited: Feb-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
    340 cites at Google Scholar
    785% above average of year
    Last visited: Mar-2022
    Paper: DOI
  100. 100
    Hengrui Jia, Christopher A. Choquette-Choo, Varun Chandrasekaran, and Nicolas Papernot:
    Entangled Watermarks as a Defense against Model Extraction.
    USENIX Security Symposium, 2021
    40 cites at Google Scholar
    769% above average of year
    Last visited: Feb-2022
    Paper: DOI

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Last updated: 2022-03-21 12:22:25 CET