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
    4436 cites at Google Scholar
    5628% above average of year
    Last visited: Nov-2021
    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
    1599 cites at Google Scholar
    4931% above average of year
    Last visited: Nov-2021
    Paper: DOI
  3. 3
    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
    109 cites at Google Scholar
    4463% above average of year
    Last visited: Oct-2021
    Paper: DOI
  4. 4
    Mihir Bellare and Phillip Rogaway:
    Random Oracles are Practical: A Paradigm for Designing Efficient Protocols.
    ACM Conference on Computer and Communications Security (CCS), 1993
    5731 cites at Google Scholar
    3999% above average of year
    Last visited: Nov-2021
    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
    5945 cites at Google Scholar
    2947% above average of year
    Last visited: Nov-2021
    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
    3011 cites at Google Scholar
    2848% above average of year
    Last visited: Oct-2021
    Paper: DOI
  7. 7
    D. F. C. Brewer and Michael J. Nash:
    The Chinese Wall Security Policy.
    IEEE Symposium on Security and Privacy, 1989
    1442 cites at Google Scholar
    2763% above average of year
    Last visited: Oct-2021
    Paper: DOI
  8. 8
    John Bethencourt, Amit Sahai, and Brent Waters:
    Ciphertext-Policy Attribute-Based Encryption.
    IEEE Symposium on Security and Privacy, 2007
    5542 cites at Google Scholar
    2636% above average of year
    Last visited: Oct-2021
    Paper: DOI
  9. 9
    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
    2638 cites at Google Scholar
    2354% above average of year
    Last visited: Oct-2021
    Paper: DOI
  10. 10
    Dawn Xiaodong Song, David A. Wagner, and Adrian Perrig:
    Practical Techniques for Searches on Encrypted Data.
    IEEE Symposium on Security and Privacy, 2000
    4005 cites at Google Scholar
    2321% above average of year
    Last visited: Oct-2021
    Paper: DOI
  11. 11
    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
    56 cites at Google Scholar
    2244% above average of year
    Last visited: Nov-2021
    Paper: DOI
  12. 12
    Steven M. Bellovin and Michael Merritt:
    Encrypted key exchange: password-based protocols secure against dictionary attacks.
    IEEE Symposium on Security and Privacy, 1992
    2049 cites at Google Scholar
    2229% above average of year
    Last visited: Oct-2021
    Paper: DOI
  13. 13
    Roger Dingledine, Nick Mathewson, and Paul F. Syverson:
    Tor: The Second-Generation Onion Router.
    USENIX Security Symposium, 2004
    5098 cites at Google Scholar
    2123% above average of year
    Last visited: Nov-2021
    Paper: DOI
  14. 14
    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
    2299 cites at Google Scholar
    2039% above average of year
    Last visited: Nov-2021
    Paper: DOI
  15. 15
    Matt Blaze, Joan Feigenbaum, and Jack Lacy:
    Decentralized Trust Management.
    IEEE Symposium on Security and Privacy, 1996
    3318 cites at Google Scholar
    2019% above average of year
    Last visited: Oct-2021
    Paper: DOI
  16. 16
    Laurent Eschenauer and Virgil D. Gligor:
    A key-management scheme for distributed sensor networks.
    ACM Conference on Computer and Communications Security (CCS), 2002
    5356 cites at Google Scholar
    1955% above average of year
    Last visited: Nov-2021
    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
    2156 cites at Google Scholar
    1906% above average of year
    Last visited: Nov-2021
    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
    970 cites at Google Scholar
    1820% above average of year
    Last visited: Nov-2021
    Paper: DOI
  19. 19
    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
    45 cites at Google Scholar
    1784% above average of year
    Last visited: Nov-2021
    Paper: DOI
  20. 20
    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
    45 cites at Google Scholar
    1784% above average of year
    Last visited: Nov-2021
    Paper: DOI
  21. 21
    Reza Shokri, Marco Stronati, Congzheng Song, and Vitaly Shmatikov:
    Membership Inference Attacks Against Machine Learning Models.
    IEEE Symposium on Security and Privacy, 2017
    1443 cites at Google Scholar
    1763% above average of year
    Last visited: Oct-2021
    Paper: DOI
  22. 22
    Yajin Zhou and Xuxian Jiang:
    Dissecting Android Malware: Characterization and Evolution.
    IEEE Symposium on Security and Privacy, 2012
    2580 cites at Google Scholar
    1761% above average of year
    Last visited: Nov-2021
    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
    1981 cites at Google Scholar
    1743% above average of year
    Last visited: Oct-2021
    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
    2874 cites at Google Scholar
    1735% above average of year
    Last visited: Nov-2021
    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
    890 cites at Google Scholar
    1661% above average of year
    Last visited: Nov-2021
    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
    979 cites at Google Scholar
    1656% above average of year
    Last visited: Nov-2021
    Paper: DOI
  27. 27
    Dorothy E. Denning:
    An Intrusion-Detection Model.
    IEEE Symposium on Security and Privacy, 1986
    5719 cites at Google Scholar
    1612% above average of year
    Last visited: Nov-2021
    Paper: DOI
  28. 28
    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
    40 cites at Google Scholar
    1575% above average of year
    Last visited: Nov-2021
    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
    1844 cites at Google Scholar
    1572% above average of year
    Last visited: Nov-2021
    Paper: DOI
  30. 30
    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
    3380 cites at Google Scholar
    1569% above average of year
    Last visited: Oct-2021
    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
    1221 cites at Google Scholar
    1477% above average of year
    Last visited: Oct-2021
    Paper: DOI
  32. 32
    Arvind Narayanan and Vitaly Shmatikov:
    Robust De-anonymization of Large Sparse Datasets.
    IEEE Symposium on Security and Privacy, 2008
    2530 cites at Google Scholar
    1476% above average of year
    Last visited: Nov-2021
    Paper: DOI
  33. 33
    Jeffrey O. Kephart and Steve R. White:
    Directed-Graph Epidemiological Models of Computer Viruses.
    IEEE Symposium on Security and Privacy, 1991
    1093 cites at Google Scholar
    1454% above average of year
    Last visited: Oct-2021
    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
    4247 cites at Google Scholar
    1448% above average of year
    Last visited: Oct-2021
    Paper: DOI
  35. 35
    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
    2681 cites at Google Scholar
    1447% above average of year
    Last visited: Nov-2021
    Paper: DOI
  36. 36
    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
    2678 cites at Google Scholar
    1445% above average of year
    Last visited: Oct-2021
    Paper: DOI
  37. 37
    Ankush Das, Stephanie Balzer, Jan Hoffmann, Frank Pfenning, and Ishani Santurkar:
    Resource-Aware Session Types for Digital Contracts.
    IEEE Computer Security Foundations Symposium (CSF), 2021
    35 cites at Google Scholar
    1365% above average of year
    Last visited: Nov-2021
    Paper: DOI
  38. 38
    Joseph A. Goguen and José Meseguer:
    Security Policies and Security Models.
    IEEE Symposium on Security and Privacy, 1982
    2858 cites at Google Scholar
    1361% above average of year
    Last visited: Nov-2021
    Paper: DOI
  39. 39
    Eugene Bagdasaryan and Vitaly Shmatikov:
    Blind Backdoors in Deep Learning Models.
    USENIX Security Symposium, 2021
    34 cites at Google Scholar
    1323% above average of year
    Last visited: Oct-2021
    Paper: DOI
  40. 40
    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
    34 cites at Google Scholar
    1323% above average of year
    Last visited: Nov-2021
    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
    2753 cites at Google Scholar
    1311% above average of year
    Last visited: Oct-2021
    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
    1540 cites at Google Scholar
    1296% above average of year
    Last visited: Oct-2021
    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
    1228 cites at Google Scholar
    1296% above average of year
    Last visited: Oct-2021
    Paper: DOI
  44. 44
    Reza Shokri and Vitaly Shmatikov:
    Privacy-Preserving Deep Learning.
    ACM Conference on Computer and Communications Security (CCS), 2015
    1307 cites at Google Scholar
    1275% above average of year
    Last visited: Oct-2021
    Paper: DOI
  45. 45
    Luca Melis, Congzheng Song, Emiliano De Cristofaro, and Vitaly Shmatikov:
    Exploiting Unintended Feature Leakage in Collaborative Learning.
    IEEE Symposium on Security and Privacy, 2019
    436 cites at Google Scholar
    1272% above average of year
    Last visited: Nov-2021
    Paper: DOI
  46. 46
    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
    435 cites at Google Scholar
    1269% above average of year
    Last visited: Nov-2021
    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
    1417 cites at Google Scholar
    1218% above average of year
    Last visited: Nov-2021
    Paper: DOI
  48. 48
    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
    1878 cites at Google Scholar
    1218% above average of year
    Last visited: Oct-2021
    Paper: DOI
  49. 49
    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
    1237 cites at Google Scholar
    1202% above average of year
    Last visited: Nov-2021
    Paper: DOI
  50. 50
    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
    1219 cites at Google Scholar
    1183% above average of year
    Last visited: Nov-2021
    Paper: DOI
  51. 51
    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
    968 cites at Google Scholar
    1150% above average of year
    Last visited: Oct-2021
    Paper: DOI
  52. 52
    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
    2170 cites at Google Scholar
    1145% above average of year
    Last visited: Nov-2021
    Paper: DOI
  53. 53
    Minghong Fang, Xiaoyu Cao, Jinyuan Jia, and Neil Zhenqiang Gong:
    Local Model Poisoning Attacks to Byzantine-Robust Federated Learning.
    USENIX Security Symposium, 2020
    157 cites at Google Scholar
    1141% above average of year
    Last visited: Nov-2021
    Paper: DOI
  54. 54
    David D. Clark and D. R. Wilson:
    A Comparison of Commercial and Military Computer Security Policies.
    IEEE Symposium on Security and Privacy, 1987
    1908 cites at Google Scholar
    1139% above average of year
    Last visited: Nov-2021
    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
    1871 cites at Google Scholar
    1138% above average of year
    Last visited: Oct-2021
    Paper: DOI
  56. 56
    Jianbo Chen, Michael I. Jordan, and Martin J. Wainwright:
    HopSkipJumpAttack: A Query-Efficient Decision-Based Attack.
    IEEE Symposium on Security and Privacy, 2020
    156 cites at Google Scholar
    1133% above average of year
    Last visited: Nov-2021
    Paper: DOI
  57. 57
    Ari Juels and Martin Wattenberg:
    A Fuzzy Commitment Scheme.
    ACM Conference on Computer and Communications Security (CCS), 1999
    1986 cites at Google Scholar
    1115% above average of year
    Last visited: Nov-2021
    Paper: DOI
  58. 58
    Liwei Song and Prateek Mittal:
    Systematic Evaluation of Privacy Risks of Machine Learning Models.
    USENIX Security Symposium, 2021
    29 cites at Google Scholar
    1114% above average of year
    Last visited: Oct-2021
    Paper: DOI
  59. 59
    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
    1113% above average of year
    Last visited: Oct-2021
    Paper: DOI
  60. 60
    Ari Juels and Burton S. Kaliski Jr.:
    Pors: proofs of retrievability for large files.
    ACM Conference on Computer and Communications Security (CCS), 2007
    2446 cites at Google Scholar
    1107% above average of year
    Last visited: Nov-2021
    Paper: DOI
  61. 61
    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
    600 cites at Google Scholar
    1087% above average of year
    Last visited: Nov-2021
    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
    1934 cites at Google Scholar
    1083% above average of year
    Last visited: Oct-2021
    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
    2171 cites at Google Scholar
    1083% above average of year
    Last visited: Oct-2021
    Paper: DOI
  64. 64
    Payman Mohassel and Yupeng Zhang:
    SecureML: A System for Scalable Privacy-Preserving Machine Learning.
    IEEE Symposium on Security and Privacy, 2017
    915 cites at Google Scholar
    1081% above average of year
    Last visited: Nov-2021
    Paper: DOI
  65. 65
    Wenke Lee and Salvatore J. Stolfo:
    Data Mining Approaches for Intrusion Detection.
    USENIX Security Symposium, 1998
    2056 cites at Google Scholar
    1079% above average of year
    Last visited: Oct-2021
    Paper: DOI
  66. 66
    Hengrui Jia, Christopher A. Choquette-Choo, Varun Chandrasekaran, and Nicolas Papernot:
    Entangled Watermarks as a Defense against Model Extraction.
    USENIX Security Symposium, 2021
    28 cites at Google Scholar
    1072% above average of year
    Last visited: Oct-2021
    Paper: DOI
  67. 67
    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
    2041 cites at Google Scholar
    1071% above average of year
    Last visited: Nov-2021
    Paper: DOI
  68. 68
    Úlfar Erlingsson, Vasyl Pihur, and Aleksandra Korolova:
    RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response.
    ACM Conference on Computer and Communications Security (CCS), 2014
    1286 cites at Google Scholar
    1066% above average of year
    Last visited: Nov-2021
    Paper: DOI
  69. 69
    Martín Abadi and Andrew D. Gordon:
    A Calculus for Cryptographic Protocols: The Spi Calculus.
    ACM Conference on Computer and Communications Security (CCS), 1997
    2054 cites at Google Scholar
    1066% above average of year
    Last visited: Nov-2021
    Paper: DOI
  70. 70
    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
    365 cites at Google Scholar
    1048% above average of year
    Last visited: Nov-2021
    Paper: DOI
  71. 71
    Martín Abadi, Mihai Budiu, Úlfar Erlingsson, and Jay Ligatti:
    Control-flow integrity.
    ACM Conference on Computer and Communications Security (CCS), 2005
    2098 cites at Google Scholar
    1044% above average of year
    Last visited: Nov-2021
    Paper: DOI
  72. 72
    Yuval Yarom and Katrina Falkner:
    FLUSH+RELOAD: A High Resolution, Low Noise, L3 Cache Side-Channel Attack.
    USENIX Security Symposium, 2014
    1254 cites at Google Scholar
    1037% above average of year
    Last visited: Nov-2021
    Paper: DOI
  73. 73
    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
    27 cites at Google Scholar
    1030% above average of year
    Last visited: Nov-2021
    Paper: DOI
  74. 74
    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
    27 cites at Google Scholar
    1030% above average of year
    Last visited: Nov-2021
    Paper: DOI
  75. 75
    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
    1650 cites at Google Scholar
    992% above average of year
    Last visited: Oct-2021
    Paper: DOI
  76. 76
    Joseph A. Goguen and José Meseguer:
    Unwinding and Inference Control.
    IEEE Symposium on Security and Privacy, 1984
    553 cites at Google Scholar
    987% above average of year
    Last visited: Oct-2021
    Paper: DOI
  77. 77
    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
    1168 cites at Google Scholar
    987% above average of year
    Last visited: Nov-2021
    Paper: DOI
  78. 78
    Christina Warrender, Stephanie Forrest, and Barak A. Pearlmutter:
    Detecting Intrusions using System Calls: Alternative Data Models.
    IEEE Symposium on Security and Privacy, 1999
    1769 cites at Google Scholar
    982% above average of year
    Last visited: Nov-2021
    Paper: DOI
  79. 79
    Alma Whitten and J. Doug Tygar:
    Why Johnny Can't Encrypt: A Usability Evaluation of PGP 5.0.
    USENIX Security Symposium, 1999
    1731 cites at Google Scholar
    959% above average of year
    Last visited: Nov-2021
    Paper: DOI
  80. 80
    Erkan Tairi, Pedro Moreno-Sanchez, and Matteo Maffei:
    A2L: Anonymous Atomic Locks for Scalability in Payment Channel Hubs.
    IEEE Symposium on Security and Privacy, 2021
    25 cites at Google Scholar
    947% above average of year
    Last visited: Nov-2021
    Paper: DOI
  81. 81
    Robin Sommer and Vern Paxson:
    Outside the Closed World: On Using Machine Learning for Network Intrusion Detection.
    IEEE Symposium on Security and Privacy, 2010
    1491 cites at Google Scholar
    946% above average of year
    Last visited: Nov-2021
    Paper: DOI
  82. 82
    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
    513 cites at Google Scholar
    915% above average of year
    Last visited: Oct-2021
    Paper: DOI
  83. 83
    Zhaohan Xi, Ren Pang, Shouling Ji, and Ting Wang:
    Graph Backdoor.
    USENIX Security Symposium, 2021
    24 cites at Google Scholar
    905% above average of year
    Last visited: Oct-2021
    Paper: DOI
  84. 84
    Chenkai Weng, Kang Yang, Jonathan Katz, and Xiao Wang:
    Wolverine: Fast, Scalable, and Communication-Efficient Zero-Knowledge Proofs for Boolean and Arithmetic Circuits.
    IEEE Symposium on Security and Privacy, 2021
    24 cites at Google Scholar
    905% above average of year
    Last visited: Nov-2021
    Paper: DOI
  85. 85
    Umar Iqbal, Steven Englehardt, and Zubair Shafiq:
    Fingerprinting the Fingerprinters: Learning to Detect Browser Fingerprinting Behaviors.
    IEEE Symposium on Security and Privacy, 2021
    24 cites at Google Scholar
    905% above average of year
    Last visited: Nov-2021
    Paper: DOI
  86. 86
    Dongyu Meng and Hao Chen:
    MagNet: A Two-Pronged Defense against Adversarial Examples.
    ACM Conference on Computer and Communications Security (CCS), 2017
    778 cites at Google Scholar
    905% above average of year
    Last visited: Nov-2021
    Paper: DOI
  87. 87
    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
    318 cites at Google Scholar
    900% above average of year
    Last visited: Nov-2021
    Paper: DOI
  88. 88
    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
    1830 cites at Google Scholar
    897% above average of year
    Last visited: Nov-2021
    Paper: DOI
  89. 89
    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
    1579 cites at Google Scholar
    884% above average of year
    Last visited: Nov-2021
    Paper: DOI
  90. 90
    Martín Abadi and Roger M. Needham:
    Prudent engineering practice for cryptographic protocols.
    IEEE Symposium on Security and Privacy, 1994
    996 cites at Google Scholar
    875% above average of year
    Last visited: Oct-2021
    Paper: DOI
  91. 91
    Harry A. Kalodner, Malte Möser, Kevin Lee, Steven Goldfeder, Martin Plattner, Alishah Chator, and Arvind Narayanan:
    BlockSci: Design and applications of a blockchain analysis platform.
    USENIX Security Symposium, 2020
    123 cites at Google Scholar
    872% above average of year
    Last visited: Nov-2021
    Paper: DOI
  92. 92
    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
    2651 cites at Google Scholar
    866% above average of year
    Last visited: Nov-2021
    Paper: DOI
  93. 93
    Lorenzo Grassi, Dmitry Khovratovich, Christian Rechberger, Arnab Roy, and Markus Schofnegger:
    Poseidon: A New Hash Function for Zero-Knowledge Proof Systems.
    USENIX Security Symposium, 2021
    23 cites at Google Scholar
    863% above average of year
    Last visited: Sep-2021
    Paper: DOI
  94. 94
    David Moore, Geoffrey M. Voelker, and Stefan Savage:
    Inferring Internet Denial-of-Service Activity.
    USENIX Security Symposium, 2001
    2087 cites at Google Scholar
    858% above average of year
    Last visited: Nov-2021
    Paper: DOI
  95. 95
    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
    477 cites at Google Scholar
    844% above average of year
    Last visited: Oct-2021
    Paper: DOI
  96. 96
    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
    1510 cites at Google Scholar
    841% above average of year
    Last visited: Nov-2021
    Paper: DOI
  97. 97
    Donggang Liu and Peng Ning:
    Establishing pairwise keys in distributed sensor networks.
    ACM Conference on Computer and Communications Security (CCS), 2003
    2565 cites at Google Scholar
    835% above average of year
    Last visited: Nov-2021
    Paper: DOI
  98. 98
    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
    1002 cites at Google Scholar
    832% above average of year
    Last visited: Nov-2021
    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
    1481 cites at Google Scholar
    823% above average of year
    Last visited: Oct-2021
    Paper: DOI
  100. 100
    Florian Tramèr, Fan Zhang, Ari Juels, Michael K. Reiter, and Thomas Ristenpart:
    Stealing Machine Learning Models via Prediction APIs.
    USENIX Security Symposium, 2016
    991 cites at Google Scholar
    822% above average of year
    Last visited: Nov-2021
    Paper: DOI