| Be sensitive and collaborative: Analyzing impact of coverage metrics in greybox fuzzing J Wang, Y Duan, W Song, H Yin, C Song 22nd International Symposium on Research in Attacks, Intrusions and Defenses …, 2019 | 109 | 2019 |
| Deepmem: Learning graph neural network models for fast and robust memory forensic analysis W Song, H Yin, C Liu, D Song Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications …, 2018 | 61 | 2018 |
| Mab-malware: A reinforcement learning framework for blackbox generation of adversarial malware W Song, X Li, S Afroz, D Garg, D Kuznetsov, H Yin Proceedings of the 2022 ACM on Asia conference on computer and …, 2022 | 50 | 2022 |
| Mab-malware: A reinforcement learning framework for attacking static malware classifiers W Song, X Li, S Afroz, D Garg, D Kuznetsov, H Yin arXiv preprint arXiv:2003.03100, 2020 | 43 | 2020 |
| Automatic generation of adversarial examples for interpreting malware classifiers W Song, X Li, S Afroz, D Garg, D Kuznetsov, H Yin arXiv preprint arXiv:2003.03100, 2020 | 36 | 2020 |
| On the correctness of metadata-based SBOM generation: A differential analysis approach S Yu, W Song, X Hu, H Yin 2024 54th Annual IEEE/IFIP International Conference on Dependable Systems …, 2024 | 7 | 2024 |
| Towards Robust Deep Neural Network Architectures for Malware Classification W Song University of California, Riverside, 2022 | | 2022 |
| Be sensitive and collaborative: Analyzing impact of coverage metrics in Greybox fuzzing.(2019) J WANG, Y DUAN, W SONG, H YIN, C SONG Proceedings of the 22nd International Symposium on Research on Attacks …, 0 | | |
