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
    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
    1132 cites at Google Scholar
    7813% above average of year
    Last visited: Nov-2020
    Paper: DOI
  2. 2
    Nicholas Carlini and David A. Wagner:
    Towards Evaluating the Robustness of Neural Networks.
    IEEE Symposium on Security and Privacy, 2017
    2791 cites at Google Scholar
    5237% above average of year
    Last visited: Nov-2020
    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
    5410 cites at Google Scholar
    3921% above average of year
    Last visited: Nov-2020
    Paper: DOI
  4. 4
    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
    5249 cites at Google Scholar
    2874% above average of year
    Last visited: Nov-2020
    Paper: DOI
  5. 5
    D. F. C. Brewer and Michael J. Nash:
    The Chinese Wall Security Policy.
    IEEE Symposium on Security and Privacy, 1989
    1372 cites at Google Scholar
    2864% above average of year
    Last visited: Nov-2020
    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
    2872 cites at Google Scholar
    2827% above average of year
    Last visited: Nov-2020
    Paper: DOI
  7. 7
    John Bethencourt, Amit Sahai, and Brent Waters:
    Ciphertext-Policy Attribute-Based Encryption.
    IEEE Symposium on Security and Privacy, 2007
    4803 cites at Google Scholar
    2503% above average of year
    Last visited: Oct-2020
    Paper: DOI
  8. 8
    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
    1888 cites at Google Scholar
    2292% above average of year
    Last visited: Nov-2020
    Paper: DOI
  9. 9
    Steven M. Bellovin and Michael Merritt:
    Encrypted key exchange: password-based protocols secure against dictionary attacks.
    IEEE Symposium on Security and Privacy, 1992
    1946 cites at Google Scholar
    2216% above average of year
    Last visited: Nov-2020
    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
    3607 cites at Google Scholar
    2194% above average of year
    Last visited: Nov-2020
    Paper: DOI
  11. 11
    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
    79 cites at Google Scholar
    2177% above average of year
    Last visited: Nov-2020
    Paper: DOI
  12. 12
    Matt Blaze, Joan Feigenbaum, and Jack Lacy:
    Decentralized Trust Management.
    IEEE Symposium on Security and Privacy, 1996
    3157 cites at Google Scholar
    2037% above average of year
    Last visited: Nov-2020
    Paper: DOI
  13. 13
    Laurent Eschenauer and Virgil D. Gligor:
    A key-management scheme for distributed sensor networks.
    ACM Conference on Computer and Communications Security (CCS), 2002
    5075 cites at Google Scholar
    1962% above average of year
    Last visited: Nov-2020
    Paper: DOI
  14. 14
    Weilin Xu, David Evans, and Yanjun Qi:
    Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks.
    Network and Distributed System Security Symposium (NDSS), 2018
    609 cites at Google Scholar
    1929% above average of year
    Last visited: Nov-2020
    Paper: DOI
  15. 15
    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
    564 cites at Google Scholar
    1779% above average of year
    Last visited: Nov-2020
    Paper: DOI
  16. 16
    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
    1476 cites at Google Scholar
    1770% above average of year
    Last visited: Nov-2020
    Paper: DOI
  17. 17
    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
    2729 cites at Google Scholar
    1747% above average of year
    Last visited: Nov-2020
    Paper: DOI
  18. 18
    Yajin Zhou and Xuxian Jiang:
    Dissecting Android Malware: Characterization and Evolution.
    IEEE Symposium on Security and Privacy, 2012
    2235 cites at Google Scholar
    1729% above average of year
    Last visited: Nov-2020
    Paper: DOI
  19. 19
    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
    1410 cites at Google Scholar
    1687% above average of year
    Last visited: Oct-2020
    Paper: DOI
  20. 20
    Li Gong, Roger M. Needham, and Raphael Yahalom:
    Reasoning about Belief in Cryptographic Protocols.
    IEEE Symposium on Security and Privacy, 1990
    927 cites at Google Scholar
    1622% above average of year
    Last visited: Oct-2020
    Paper: DOI
  21. 21
    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
    1348 cites at Google Scholar
    1608% above average of year
    Last visited: Oct-2020
    Paper: DOI
  22. 22
    Dorothy E. Denning:
    An Intrusion-Detection Model.
    IEEE Symposium on Security and Privacy, 1986
    5224 cites at Google Scholar
    1587% above average of year
    Last visited: May-2020
    Paper: DOI
  23. 23
    Jianbo Chen, Michael I. Jordan, and Martin J. Wainwright:
    HopSkipJumpAttack: A Query-Efficient Decision-Based Attack.
    IEEE Symposium on Security and Privacy, 2020
    57 cites at Google Scholar
    1543% above average of year
    Last visited: Nov-2020
    Paper: DOI
  24. 24
    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
    3000 cites at Google Scholar
    1526% above average of year
    Last visited: Oct-2020
    Paper: DOI
  25. 25
    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
    842 cites at Google Scholar
    1510% above average of year
    Last visited: Nov-2020
    Paper: DOI
  26. 26
    Haowen Chan, Adrian Perrig, and Dawn Xiaodong Song:
    Random Key Predistribution Schemes for Sensor Networks.
    IEEE Symposium on Security and Privacy, 2003
    4070 cites at Google Scholar
    1472% above average of year
    Last visited: Nov-2020
    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
    1417 cites at Google Scholar
    1460% above average of year
    Last visited: Nov-2020
    Paper: DOI
  28. 28
    Jeffrey O. Kephart and Steve R. White:
    Directed-Graph Epidemiological Models of Computer Viruses.
    IEEE Symposium on Security and Privacy, 1991
    1038 cites at Google Scholar
    1447% above average of year
    Last visited: Nov-2020
    Paper: DOI
  29. 29
    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
    2432 cites at Google Scholar
    1441% above average of year
    Last visited: Oct-2020
    Paper: DOI
  30. 30
    Reza Shokri, Marco Stronati, Congzheng Song, and Vitaly Shmatikov:
    Membership Inference Attacks Against Machine Learning Models.
    IEEE Symposium on Security and Privacy, 2017
    794 cites at Google Scholar
    1418% above average of year
    Last visited: Oct-2020
    Paper: DOI
  31. 31
    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
    216 cites at Google Scholar
    1410% above average of year
    Last visited: Nov-2020
    Paper: DOI
  32. 32
    Mengjia Yan, Christopher W. Fletcher, and Josep Torrellas:
    Cache Telepathy: Leveraging Shared Resource Attacks to Learn DNN Architectures.
    USENIX Security Symposium, 2020
    52 cites at Google Scholar
    1399% above average of year
    Last visited: Nov-2020
    Paper: DOI
  33. 33
    Joseph A. Goguen and José Meseguer:
    Security Policies and Security Models.
    IEEE Symposium on Security and Privacy, 1982
    2661 cites at Google Scholar
    1353% above average of year
    Last visited: Nov-2020
    Paper: DOI
  34. 34
    Yao Liu, Michael K. Reiter, and Peng Ning:
    False data injection attacks against state estimation in electric power grids.
    ACM Conference on Computer and Communications Security (CCS), 2009
    2290 cites at Google Scholar
    1351% above average of year
    Last visited: Nov-2020
    Paper: DOI
  35. 35
    Phillip A. Porras and Richard A. Kemmerer:
    Penetration state transition analysis: A rule-based intrusion detection approach.
    Annual Computer Security Applications Conference (ACSAC), 1992
    1150 cites at Google Scholar
    1269% above average of year
    Last visited: Nov-2020
    Paper: DOI
  36. 36
    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
    2402 cites at Google Scholar
    1261% above average of year
    Last visited: Nov-2020
    Paper: DOI
  37. 37
    Arvind Narayanan and Vitaly Shmatikov:
    Robust De-anonymization of Large Sparse Datasets.
    IEEE Symposium on Security and Privacy, 2008
    1925 cites at Google Scholar
    1215% above average of year
    Last visited: Dec-2019
    Paper: DOI
  38. 38
    Luca Melis, Congzheng Song, Emiliano De Cristofaro, and Vitaly Shmatikov:
    Exploiting Unintended Feature Leakage in Collaborative Learning.
    IEEE Symposium on Security and Privacy, 2019
    185 cites at Google Scholar
    1193% above average of year
    Last visited: Nov-2020
    Paper: DOI
  39. 39
    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
    958 cites at Google Scholar
    1170% above average of year
    Last visited: Nov-2020
    Paper: DOI
  40. 40
    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
    1631 cites at Google Scholar
    1169% above average of year
    Last visited: Nov-2020
    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
    1148 cites at Google Scholar
    1164% above average of year
    Last visited: Nov-2020
    Paper: DOI
  42. 42
    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
    989 cites at Google Scholar
    1153% above average of year
    Last visited: Nov-2020
    Paper: DOI
  43. 43
    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
    1686 cites at Google Scholar
    1149% above average of year
    Last visited: Oct-2020
    Paper: DOI
  44. 44
    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
    374 cites at Google Scholar
    1146% above average of year
    Last visited: Oct-2020
    Paper: DOI
  45. 45
    David D. Clark and D. R. Wilson:
    A Comparison of Commercial and Military Computer Security Policies.
    IEEE Symposium on Security and Privacy, 1987
    1856 cites at Google Scholar
    1145% above average of year
    Last visited: Oct-2020
    Paper: DOI
  46. 46
    Ari Juels and Burton S. Kaliski Jr.:
    Pors: proofs of retrievability for large files.
    ACM Conference on Computer and Communications Security (CCS), 2007
    2238 cites at Google Scholar
    1113% above average of year
    Last visited: Nov-2020
    Paper: DOI
  47. 47
    Tuyet Duong, Lei Fan, Jonathan Katz, Phuc Thai, and Hong-Sheng Zhou:
    2-hop Blockchain: Combining Proof-of-Work and Proof-of-Stake Securely.
    European Symposium on Research in Computer Security (ESORICS), 2020
    42 cites at Google Scholar
    1111% above average of year
    Last visited: Nov-2020
    Paper: DOI
  48. 48
    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
    1997 cites at Google Scholar
    1108% above average of year
    Last visited: Oct-2020
    Paper: DOI
  49. 49
    Thomas Beth, Malte Borcherding, and Birgit Klein:
    Valuation of Trust in Open Networks.
    European Symposium on Research in Computer Security (ESORICS), 1994
    1184 cites at Google Scholar
    1107% above average of year
    Last visited: Nov-2020
    Paper: DOI
  50. 50
    Reza Shokri and Vitaly Shmatikov:
    Privacy-Preserving Deep Learning.
    ACM Conference on Computer and Communications Security (CCS), 2015
    910 cites at Google Scholar
    1107% above average of year
    Last visited: Nov-2020
    Paper: DOI
  51. 51
    Martín Abadi and Andrew D. Gordon:
    A Calculus for Cryptographic Protocols: The Spi Calculus.
    ACM Conference on Computer and Communications Security (CCS), 1997
    2016 cites at Google Scholar
    1094% above average of year
    Last visited: Nov-2020
    Paper: DOI
  52. 52
    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
    1863 cites at Google Scholar
    1078% above average of year
    Last visited: Nov-2020
    Paper: DOI
  53. 53
    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
    1947 cites at Google Scholar
    1078% above average of year
    Last visited: Nov-2020
    Paper: DOI
  54. 54
    Wenke Lee and Salvatore J. Stolfo:
    Data Mining Approaches for Intrusion Detection.
    USENIX Security Symposium, 1998
    1947 cites at Google Scholar
    1078% above average of year
    Last visited: Oct-2020
    Paper: DOI
  55. 55
    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
    1863 cites at Google Scholar
    1054% above average of year
    Last visited: Oct-2020
    Paper: DOI
  56. 56
    Sean Bowe, Alessandro Chiesa, Matthew Green, Ian Miers, Pratyush Mishra, and Howard Wu:
    ZEXE: Enabling Decentralized Private Computation.
    IEEE Symposium on Security and Privacy, 2020
    40 cites at Google Scholar
    1053% above average of year
    Last visited: Nov-2020
    Paper: DOI
  57. 57
    Ari Juels and Martin Wattenberg:
    A Fuzzy Commitment Scheme.
    ACM Conference on Computer and Communications Security (CCS), 1999
    1814 cites at Google Scholar
    1047% above average of year
    Last visited: Nov-2020
    Paper: DOI
  58. 58
    Bolun Wang, Yuanshun Yao, Shawn Shan, Huiying Li, Bimal Viswanath, Haitao Zheng, and Ben Y. Zhao:
    Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks.
    IEEE Symposium on Security and Privacy, 2019
    161 cites at Google Scholar
    1025% above average of year
    Last visited: Nov-2020
    Paper: DOI
  59. 59
    Anton Permenev, Dimitar Dimitrov, Petar Tsankov, Dana Drachsler-Cohen, and Martin T. Vechev:
    VerX: Safety Verification of Smart Contracts.
    IEEE Symposium on Security and Privacy, 2020
    39 cites at Google Scholar
    1024% above average of year
    Last visited: Nov-2020
    Paper: DOI
  60. 60
    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
    332 cites at Google Scholar
    1006% above average of year
    Last visited: Nov-2020
    Paper: DOI
  61. 61
    Joseph A. Goguen and José Meseguer:
    Unwinding and Inference Control.
    IEEE Symposium on Security and Privacy, 1984
    526 cites at Google Scholar
    979% above average of year
    Last visited: Oct-2020
    Paper: DOI
  62. 62
    Kit Murdock, David Oswald, Flavio D. Garcia, Jo Van Bulck, Daniel Gruss, and Frank Piessens:
    Plundervolt: Software-based Fault Injection Attacks against Intel SGX.
    IEEE Symposium on Security and Privacy, 2020
    37 cites at Google Scholar
    966% above average of year
    Last visited: Nov-2020
    Paper: DOI
  63. 63
    Jo Van Bulck, Daniel Moghimi, Michael Schwarz, Moritz Lipp, Marina Minkin, Daniel Genkin, Yuval Yarom, Berk Sunar, Daniel Gruss, and Frank Piessens:
    LVI: Hijacking Transient Execution through Microarchitectural Load Value Injection.
    IEEE Symposium on Security and Privacy, 2020
    37 cites at Google Scholar
    966% above average of year
    Last visited: Nov-2020
    Paper: DOI
  64. 64
    Christina Warrender, Stephanie Forrest, and Barak A. Pearlmutter:
    Detecting Intrusions using System Calls: Alternative Data Models.
    IEEE Symposium on Security and Privacy, 1999
    1659 cites at Google Scholar
    949% above average of year
    Last visited: Nov-2020
    Paper: DOI
  65. 65
    Yuval Yarom and Katrina Falkner:
    FLUSH+RELOAD: A High Resolution, Low Noise, L3 Cache Side-Channel Attack.
    USENIX Security Symposium, 2014
    947 cites at Google Scholar
    943% above average of year
    Last visited: Nov-2020
    Paper: DOI
  66. 66
    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
    543 cites at Google Scholar
    938% above average of year
    Last visited: Nov-2020
    Paper: DOI
  67. 67
    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
    1663 cites at Google Scholar
    930% above average of year
    Last visited: Nov-2020
    Paper: DOI
  68. 68
    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
    1382 cites at Google Scholar
    924% above average of year
    Last visited: Oct-2020
    Paper: DOI
  69. 69
    Payman Mohassel and Yupeng Zhang:
    SecureML: A System for Scalable Privacy-Preserving Machine Learning.
    IEEE Symposium on Security and Privacy, 2017
    534 cites at Google Scholar
    921% above average of year
    Last visited: Oct-2020
    Paper: DOI
  70. 70
    Úlfar Erlingsson, Vasyl Pihur, and Aleksandra Korolova:
    RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response.
    ACM Conference on Computer and Communications Security (CCS), 2014
    925 cites at Google Scholar
    918% above average of year
    Last visited: Nov-2020
    Paper: DOI
  71. 71
    Alma Whitten and J. Doug Tygar:
    Why Johnny Can't Encrypt: A Usability Evaluation of PGP 5.0.
    USENIX Security Symposium, 1999
    1604 cites at Google Scholar
    915% above average of year
    Last visited: Nov-2020
    Paper: DOI
  72. 72
    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
    793 cites at Google Scholar
    905% above average of year
    Last visited: Nov-2020
    Paper: DOI
  73. 73
    Robin Sommer and Vern Paxson:
    Outside the Closed World: On Using Machine Learning for Network Intrusion Detection.
    IEEE Symposium on Security and Privacy, 2010
    1267 cites at Google Scholar
    886% above average of year
    Last visited: Nov-2020
    Paper: DOI
  74. 74
    Dongyu Meng and Hao Chen:
    MagNet: A Two-Pronged Defense against Adversarial Examples.
    ACM Conference on Computer and Communications Security (CCS), 2017
    514 cites at Google Scholar
    883% above average of year
    Last visited: Nov-2020
    Paper: DOI
  75. 75
    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
    1435 cites at Google Scholar
    880% above average of year
    Last visited: Nov-2020
    Paper: DOI
  76. 76
    Martín Abadi and Roger M. Needham:
    Prudent engineering practice for cryptographic protocols.
    IEEE Symposium on Security and Privacy, 1994
    954 cites at Google Scholar
    872% above average of year
    Last visited: Nov-2020
    Paper: DOI
  77. 77
    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
    2498 cites at Google Scholar
    865% above average of year
    Last visited: Oct-2020
    Paper: DOI
  78. 78
    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
    138 cites at Google Scholar
    865% above average of year
    Last visited: Nov-2020
    Paper: DOI
  79. 79
    Raymond Cheng, Fan Zhang, Jernej Kos, Warren He, Nicholas Hynes, Noah M. Johnson, Ari Juels, Andrew Miller, and Dawn Song:
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    David Moore, Geoffrey M. Voelker, and Stefan Savage:
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    Matt Fredrikson, Somesh Jha, and Thomas Ristenpart:
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    Benedikt Bünz, Jonathan Bootle, Dan Boneh, Andrew Poelstra, Pieter Wuille, and Gregory Maxwell:
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    Guofei Gu, Roberto Perdisci, Junjie Zhang, and Wenke Lee:
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    Arvind Narayanan and Vitaly Shmatikov:
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    Claudio Canella, Jo Van Bulck, Michael Schwarz, Moritz Lipp, Benjamin von Berg, Philipp Ortner, Frank Piessens, Dmitry Evtyushkin, and Daniel Gruss:
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    Patrice Godefroid, Michael Y. Levin, and David A. Molnar:
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    Hervé Debar, Monique Becker, and Didier Siboni:
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    Minghong Fang, Xiaoyu Cao, Jinyuan Jia, and Neil Zhenqiang Gong:
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    Fangfei Liu, Yuval Yarom, Qian Ge, Gernot Heiser, and Ruby B. Lee:
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    William Enck, Damien Octeau, Patrick D. McDaniel, and Swarat Chaudhuri:
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    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.
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    Petar Tsankov, Andrei Marian Dan, Dana Drachsler-Cohen, Arthur Gervais, Florian Bünzli, and Martin T. Vechev:
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    C. Christopher Erway, Alptekin Küpçü, Charalampos Papamanthou, and Roberto Tamassia:
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    Yajin Zhou, Zhi Wang, Wu Zhou, and Xuxian Jiang:
    Hey, You, Get Off of My Market: Detecting Malicious Apps in Official and Alternative Android Markets.
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    Michael Schwarz, Moritz Lipp, Daniel Moghimi, Jo Van Bulck, Julian Stecklina, Thomas Prescher, and Daniel Gruss:
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    Adrian Perrig, Ran Canetti, J. D. Tygar, and Dawn Xiaodong Song:
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    Qian Wang, Cong Wang, Jin Li, Kui Ren, and Wenjing Lou:
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    Gene H. Kim and Eugene H. Spafford:
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    Florian Tramèr, Fan Zhang, Ari Juels, Michael K. Reiter, and Thomas Ristenpart:
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