| BitBlaze: A new approach to computer security via binary analysis D Song, D Brumley, H Yin, J Caballero, I Jager, MG Kang, Z Liang, ... Information Systems Security: 4th International Conference, ICISS 2008 …, 2008 | 1096 | 2008 |
| Jump-oriented programming: a new class of code-reuse attack T Bletsch, X Jiang, VW Freeh, Z Liang Proceedings of the 6th ACM symposium on information, computer and …, 2011 | 930 | 2011 |
| Polyglot: Automatic extraction of protocol message format using dynamic binary analysis J Caballero, H Yin, Z Liang, D Song Proceedings of the 14th ACM conference on Computer and communications …, 2007 | 610 | 2007 |
| Data-oriented programming: On the expressiveness of non-control data attacks H Hu, S Shinde, S Adrian, ZL Chua, P Saxena, Z Liang 2016 IEEE Symposium on Security and Privacy (SP), 969-986, 2016 | 563 | 2016 |
| Automatically identifying trigger-based behavior in malware D Brumley, C Hartwig, Z Liang, J Newsome, D Song, H Yin Botnet Detection: Countering the Largest Security Threat, 65-88, 2008 | 340 | 2008 |
| Fast and automated generation of attack signatures: A basis for building self-protecting servers Z Liang, R Sekar Proceedings of the 12th ACM conference on Computer and communications …, 2005 | 265 | 2005 |
| Automatic Generation of {Data-Oriented} Exploits H Hu, ZL Chua, S Adrian, P Saxena, Z Liang 24th USENIX Security Symposium (USENIX Security 15), 177-192, 2015 | 263 | 2015 |
| Neural network inversion in adversarial setting via background knowledge alignment Z Yang, J Zhang, EC Chang, Z Liang Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications …, 2019 | 260 | 2019 |
| HookFinder: Identifying and understanding malware hooking behaviors H Yin, Z Liang, D Song NDSS 2008, 2008 | 210 | 2008 |
| Neural nets can learn function type signatures from binaries ZL Chua, S Shen, P Saxena, Z Liang 26th USENIX Security Symposium (USENIX Security 17), 99-116, 2017 | 209 | 2017 |
| Towards Automatic Discovery of Deviations in Binary Implementations with Applications to Error Detection and Fingerprint Generation. D Brumley, J Caballero, Z Liang, J Newsome, D Song USENIX Security Symposium 15, 2007 | 168 | 2007 |
| Monet: a user-oriented behavior-based malware variants detection system for android M Sun, X Li, JCS Lui, RTB Ma, Z Liang IEEE Transactions on Information Forensics and Security 12 (5), 1103-1112, 2016 | 158 | 2016 |
| Isolated program execution: An application transparent approach for executing untrusted programs Z Liang, VN Venkatakrishnan, R Sekar 19th Annual Computer Security Applications Conference, 2003. Proceedings …, 2003 | 156 | 2003 |
| Darwin: An approach to debugging evolving programs D Qi, A Roychoudhury, Z Liang, K Vaswani ACM Transactions on Software Engineering and Methodology (TOSEM) 21 (3), 1-29, 2012 | 147 | 2012 |
| Phishing-alarm: Robust and efficient phishing detection via page component similarity J Mao, W Tian, P Li, T Wei, Z Liang IEEE Access 5, 17020-17030, 2017 | 126 | 2017 |
| AirBag: Boosting Smartphone Resistance to Malware Infection. C Wu, Y Zhou, K Patel, Z Liang, X Jiang NDSS, 2014 | 123 | 2014 |
| AttacKG: Constructing technique knowledge graph from cyber threat intelligence reports Z Li, J Zeng, Y Chen, Z Liang European Symposium on Research in Computer Security, 589-609, 2022 | 120 | 2022 |
| Shadewatcher: Recommendation-guided cyber threat analysis using system audit records J Zengy, X Wang, J Liu, Y Chen, Z Liang, TS Chua, ZL Chua 2022 IEEE Symposium on Security and Privacy (SP), 489-506, 2022 | 119 | 2022 |
| BitScope: Automatically dissecting malicious binaries D Brumley, C Hartwig, MG Kang, Z Liang, J Newsome, P Poosankam, ... Technical Report CS-07-133, School of Computer Science, Carnegie Mellon …, 2007 | 119 | 2007 |
| WATSON: Abstracting Behaviors from Audit Logs via Aggregation of Contextual Semantics. J Zeng, ZL Chua, Y Chen, K Ji, Z Liang, J Mao NDSS, 2021 | 114 | 2021 |
Prateek SaxenaNational University of Singaporecomp.nus.edu.sg의 이메일 확인됨
