| Certified robustness to word substitution attack with differential privacy W Wang, P Tang, J Lou, L Xiong Proceedings of the 2021 conference of the North American chapter of the …, 2021 | 42 | 2021 |
| Generating adversarial examples with distance constrained adversarial imitation networks P Tang, W Wang, J Lou, L Xiong IEEE Transactions on Dependable and Secure Computing 19 (6), 4145-4155, 2021 | 11 | 2021 |
| Bacterial contamination screening and interpretation for biological laboratory environments X Zhu, X Li, W Wang, K Ning Medicine in Microecology, 100021, 2020 | 7 | 2020 |
| Utilizing multimodal feature consistency to detect adversarial examples on clinical summaries W Wang, Y Park, T Lee, I Molloy, P Tang, L Xiong Proceedings of the 3rd Clinical Natural Language Processing Workshop, 259-268, 2020 | 6 | 2020 |
| RADAR: Recurrent Autoencoder Based Detector for Adversarial Examples on Temporal EHR W Wang, P Tang, L Xiong, X Jiang ECML-PKDD, 2020 | 6 | 2020 |
| Using multimodal model consistency to detect adversarial attacks IM Molloy, Y Park, T Lee, W Wang US Patent 11,675,896, 2023 | 4 | 2023 |
| Don't Say No: Jailbreaking LLM by Suppressing Refusal Y Zhou, W Wang arXiv preprint arXiv:2404.16369, 2024 | 3 | 2024 |
| Two Birds, One Stone: Achieving both Differential Privacy and Certified Robustness for Pre-trained Classifiers via Input Perturbation P Tang, W Wang, X Gu, J Lou, L Xiong, M Li | 2 | 2021 |
| IGAMT: Privacy-Preserving Electronic Health Record Synthesization with Heterogeneity and Irregularity W Wang, P Tang, J Lou, Y Shao, L Waller, Y Ko, L Xiong Proceedings of the AAAI Conference on Artificial Intelligence 38 (14), 15634 …, 2024 | 1 | 2024 |
| LinkPrompt: Natural and Universal Adversarial Attacks on Prompt-based Language Models Y Xu, W Wang Proceedings of the 2024 Conference of the North American Chapter of the …, 2024 | | 2024 |
| Using multimodal model consistency to detect adversarial attacks IM Molloy, Y Park, T Lee, W Wang US Patent 11,977,625, 2024 | | 2024 |
| Certified PEFTSmoothing: Parameter-Efficient Fine-Tuning with Randomized Smoothing C Fu, W Wang arXiv preprint arXiv:2404.05350, 2024 | | 2024 |
| Certified Robustness on Toolformer Y Xu, W Wang Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications …, 2023 | | 2023 |
| Wasserstein Adversarial Examples on Univariant Time Series Data W Wang, L Xiong, J Lou arXiv preprint arXiv:2303.12357, 2023 | | 2023 |
| Towards the Robustness of Deep Learning Systems Against Adversarial Examples in Sequential Data W Wang Emory University, 2022 | | 2022 |
