| ASLR-Guard: Stopping address space leakage for code reuse attacks K Lu, C Song, B Lee, SP Chung, T Kim, W Lee Proceedings of the 22nd ACM SIGSAC conference on computer and communications …, 2015 | 204 | 2015 |
| Enforcing Kernel Security Invariants with Data Flow Integrity. C Song, B Lee, K Lu, W Harris, T Kim, W Lee NDSS, 2016 | 176 | 2016 |
| Jekyll on {iOS}: When Benign Apps Become Evil T Wang, K Lu, L Lu, S Chung, W Lee 22nd USENIX Security Symposium (USENIX Security 13), 559-572, 2013 | 176 | 2013 |
| {SUPOR}: Precise and scalable sensitive user input detection for android apps J Huang, Z Li, X Xiao, Z Wu, K Lu, X Zhang, G Jiang 24th USENIX Security Symposium (USENIX Security 15), 977-992, 2015 | 168 | 2015 |
| Where does it go? refining indirect-call targets with multi-layer type analysis K Lu, H Hu Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications …, 2019 | 130 | 2019 |
| How to Make ASLR Win the Clone Wars: Runtime Re-Randomization. K Lu, W Lee, S Nürnberger, M Backes NDSS, 2016 | 125 | 2016 |
| Toward engineering a secure android ecosystem: A survey of existing techniques M Xu, C Song, Y Ji, MW Shih, K Lu, C Zheng, R Duan, Y Jang, B Lee, ... ACM Computing Surveys (CSUR) 49 (2), 1-47, 2016 | 112 | 2016 |
| {UNIFUZZ}: A holistic and pragmatic {Metrics-Driven} platform for evaluating fuzzers Y Li, S Ji, Y Chen, S Liang, WH Lee, Y Chen, C Lyu, C Wu, R Beyah, ... 30th USENIX Security Symposium (USENIX Security 21), 2777-2794, 2021 | 108 | 2021 |
| Checking more and alerting less: detecting privacy leakages via enhanced data-flow analysis and peer voting. K Lu, Z Li, VP Kemerlis, Z Wu, L Lu, C Zheng, Z Qian, W Lee, G Jiang NDSS, 2015 | 104 | 2015 |
| Detecting {Missing-Check} bugs via semantic-and {Context-Aware} criticalness and constraints inferences K Lu, A Pakki, Q Wu 28th USENIX Security Symposium (USENIX Security 19), 1769-1786, 2019 | 102 | 2019 |
| Precise and scalable detection of double-fetch bugs in OS kernels M Xu, C Qian, K Lu, M Backes, T Kim 2018 IEEE Symposium on Security and Privacy (SP), 661-678, 2018 | 96 | 2018 |
| Unisan: Proactive kernel memory initialization to eliminate data leakages K Lu, C Song, T Kim, W Lee Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications …, 2016 | 93 | 2016 |
| Unleashing use-before-initialization vulnerabilities in the linux kernel using targeted stack spraying K Lu, MT Walter, D Pfaff, S Nürnberger, W Lee, M Backes CISPA, 2017 | 71 | 2017 |
| Understanding the security risks of docker hub P Liu, S Ji, L Fu, K Lu, X Zhang, WH Lee, T Lu, W Chen, R Beyah Computer Security–ESORICS 2020: 25th European Symposium on Research in …, 2020 | 57 | 2020 |
| Check it again: Detecting lacking-recheck bugs in os kernels W Wang, K Lu, PC Yew Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications …, 2018 | 51 | 2018 |
| Ropsteg: program steganography with return oriented programming K Lu, S Xiong, D Gao Proceedings of the 4th ACM conference on Data and application security and …, 2014 | 50 | 2014 |
| Fuzzing Error Handling Code using {Context-Sensitive} Software Fault Injection ZM Jiang, JJ Bai, K Lu, SM Hu 29th USENIX Security Symposium (USENIX Security 20), 2595-2612, 2020 | 46 | 2020 |
| Precisely Characterizing Security Impact in a Flood of Patches via Symbolic Rule Comparison Q Wu, Y He, S McCamant, K Lu NDSS, 2020 | 43 | 2020 |
| Bunshin: compositing security mechanisms through diversification M Xu, K Lu, T Kim, W Lee 2017 USENIX Annual Technical Conference (USENIX ATC 17), 271-283, 2017 | 35 | 2017 |
| Context-sensitive and directional concurrency fuzzing for data-race detection ZM Jiang, JJ Bai, K Lu, SM Hu Network and Distributed Systems Security (NDSS) Symposium 2022, 2022 | 34 | 2022 |
