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Wei Song
Wei Song
University of California, Riverside
Dirección de correo verificada de ucr.edu
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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
1102019
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
622018
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
532022
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
452020
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
392020
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
102024
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
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