| The art, science, and engineering of fuzzing: A survey VJM Manès, HS Han, C Han, SK Cha, M Egele, EJ Schwartz, M Woo IEEE Transactions on Software Engineering 47 (11), 2312-2331, 2019 | 561* | 2019 |
| IMF: Inferred Model-based Fuzzer HS Han, SK Cha Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications …, 2017 | 155 | 2017 |
| CodeAlchemist: Semantics-aware code generation to find vulnerabilities in JavaScript engines. HS Han, DH Oh, SK Cha NDSS, 2019 | 140 | 2019 |
| Montage: A neural network language {Model-Guided}{JavaScript} engine fuzzer S Lee, HS Han, SK Cha, S Son 29th USENIX Security Symposium (USENIX Security 20), 2613-2630, 2020 | 98 | 2020 |
| Breaking and fixing volte: Exploiting hidden data channels and mis-implementations H Kim, D Kim, M Kwon, H Han, Y Jang, D Han, T Kim, Y Kim Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications …, 2015 | 88 | 2015 |
| B2R2: Building an efficient front-end for binary analysis M Jung, S Kim, H Han, J Choi, SK Cha Proceedings of the NDSS Workshop on Binary Analysis Research, 2019 | 24 | 2019 |
| HYPERFUZZER: An efficient hybrid fuzzer for virtual cpus X Ge, B Niu, R Brotzman, Y Chen, HS Han, P Godefroid, W Cui Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications …, 2021 | 10 | 2021 |
| QueryX: Symbolic Query on Decompiled Code for Finding Bugs in COTS Binaries HS Han, JO Kyea, Y Jin, J Kang, B Pak, I Yun 2023 IEEE Symposium on Security and Privacy (SP), 3279-312795, 2023 | 1 | 2023 |
| Precise and Scalable Detection of {Use-after-Compacting-Garbage-Collection} Bugs HS Han, A Wesie, B Pak 30th USENIX Security Symposium (USENIX Security 21), 2059-2074, 2021 | 1 | 2021 |
