| VulANalyzeR: Explainable binary vulnerability detection with multi-task learning and attentional graph convolution L Li, SHH Ding, Y Tian, BCM Fung, P Charland, W Ou, L Song, C Chen ACM Transactions on Privacy and Security 26 (3), 1-25, 2023 | 16 | 2023 |
| Weihan Ou, Leo Song, and Congwei Chen. VulANalyzeR: Explainable binary vulnerability detection with multi-task learning and attentional graph convolution L Li, SHH Ding, Y Tian, BCM Fung, P Charland ACM Transactions on Privacy and Security (TOPS) 26 (3), 28, 2023 | 7 | 2023 |
| TASR: Adversarial learning of topic-agnostic stylometric representations for informed crisis response through social media L Li, R Sampson, SHH Ding, L Song Information Processing & Management 59 (2), 102857, 2022 | 6 | 2022 |
| Adversarial Variational Modality Reconstruction and Regularization for Zero-Day Malware Variants Similarity Detection C Molloy, J Banks, HHS Ding, P Charland, A Walenstein, L Li 2022 IEEE International Conference on Data Mining (ICDM), 1131-1136, 2022 | 3 | 2022 |
| GenTAL: Generative Denoising Skip-gram Transformer for Unsupervised Binary Code Similarity Detection LT Li, SHH Ding, P Charland 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | 2 | 2023 |
| Dynamic Neural Control Flow Execution: an Agent-Based Deep Equilibrium Approach for Binary Vulnerability Detection L Li, SHH Ding, A Walenstein, P Charland, BCM Fung Proceedings of the 33rd ACM International Conference on Information and …, 2024 | | 2024 |
| Chain-of-Experts (CoE): Reverse Engineering Software Bills of Materials for JavaScript Application Bundles through Code Clone Search L Song, SHH Ding, Y Tian, LT Li, P Charland, A Walenstein arXiv preprint arXiv:2408.16198, 2024 | | 2024 |
| VeriBin: a malware authorship verification approach for APT tracking through explainable and functionality-debiasing adversarial representation learning W Ou, S Ding, M Zulkernine, LT Li, S Labrosse ACM Transactions on Privacy and Security 27 (3), 1-37, 2024 | | 2024 |
