| AsFuzzer: Differential Testing of Assemblers with Error-Driven Grammar Inference H Kim, S Kim, J Lee, SK Cha Proceedings of the 33rd ACM SIGSOFT International Symposium on Software …, 2024 | | 2024 |
| Evaluating Directed Fuzzers: Are We Heading in the Right Direction? TE Kim, J Choi, S Im, K Heo, SK Cha Proceedings of the ACM on Software Engineering 1 (FSE), 316-337, 2024 | | 2024 |
| PoE: A Domain-Specific Language for Exploitation JH Kim, S Gustaman, SK Cha 2024 Silicon Valley Cybersecurity Conference (SVCC), 1-6, 2024 | | 2024 |
| Method and apparatus for determining binary function entry SK Cha, H Kim, LEE Junoh, KIM Soomin US Patent App. 18/360,011, 2024 | | 2024 |
| Method and system for fuzzing windows kernel by utilizing type information obtained through binary static analysis SK Cha, JS Choi, D Lee, K Kim US Patent 11,860,765, 2024 | | 2024 |
| On the Effectiveness of Synthetic Benchmarks for Evaluating Directed Grey-box Fuzzers H Lee, HD Yang, SG Ji, SK Cha 2023 30th Asia-Pacific Software Engineering Conference (APSEC), 11-20, 2023 | 1 | 2023 |
| Funprobe: Probing Functions from Binary Code through Probabilistic Analysis S Kim, H Kim, SK Cha Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023 | 2 | 2023 |
| BotScreen: Trust Everybody, but Cut the Aimbots Yourself M Choi, G Ko, SK Cha 32nd USENIX Security Symposium (USENIX Security 23), 481-498, 2023 | 3 | 2023 |
| DAFL: Directed Grey-box Fuzzing guided by Data Dependency TE Kim, J Choi, K Heo, SK Cha 32nd USENIX Security Symposium (USENIX Security 23), 4931-4948, 2023 | 13 | 2023 |
| Reassembly is Hard: A Reflection on Challenges and Strategies H Kim, S Kim, J Lee, K Jee, SK Cha 32nd USENIX Security Symposium (USENIX Security 23), 1469-1486, 2023 | 6 | 2023 |
| Fuzzle: Making a Puzzle for Fuzzers H Lee, S Kim, SK Cha Proceedings of the 37th IEEE/ACM International Conference on Automated …, 2022 | 11 | 2022 |
| Revisiting binary code similarity analysis using interpretable feature engineering and lessons learned D Kim, E Kim, SK Cha, S Son, Y Kim IEEE Transactions on Software Engineering 49 (4), 1661-1682, 2022 | 58 | 2022 |
| How’d Security Benefit Reverse Engineers? The Implication of Intel CET on Function Identification H Kim, J Lee, S Kim, SI Jung, SK Cha DSN, 2022 | 6 | 2022 |
| SMARTIAN: Enhancing Smart Contract Fuzzing with Static and Dynamic Data-Flow Analyses J Choi, D Kim, S Kim, G Grieco, A Groce, SK Cha The 36th IEEE/ACM International Conference on Automated Software Engineering, 2021 | 119 | 2021 |
| NTFuzz: Enabling type-aware kernel fuzzing on windows with static binary analysis J Choi, K Kim, D Lee, SK Cha 2021 IEEE Symposium on Security and Privacy (SP), 677-693, 2021 | 41 | 2021 |
| Mind control attack: Undermining deep learning with GPU memory exploitation SO Park, O Kwon, Y Kim, SK Cha, H Yoon Computers & Security 102, 102115, 2021 | 12 | 2021 |
| Boosting Fuzzer Efficiency: An Information Theoretic Perspective M Böhme, VJM Manès, SK Cha Proceedings of the 28th ACM Joint Meeting on European Software Engineering …, 2020 | 112 | 2020 |
| Montage: A Neural Network Language Model-Guided JavaScript Fuzzer S Lee, HS Han, SK Cha, S Son 20th USENIX Security Symposium (USENIX Security 2020), 2020 | 107 | 2020 |
| Ankou: Guiding Grey-box Fuzzing towards Combinatorial Difference VJM Manès, S Kim, SK Cha Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020 | 68 | 2020 |
| Asia's Surging Interest in Binary Analysis SK Cha, Z Liang Communications of the ACM 63 (4), 86-88, 2020 | 3 | 2020 |
