| BppAttack: Stealthy and Efficient Trojan Attacks against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning Z Wang, J Zhai, S Ma Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 60 | 2022 |
| Complex Backdoor Detection by Symmetric Feature Differencing Y Liu, G Shen, G Tao, Z Wang, S Ma, X Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 47* | 2022 |
| Training with More Confidence: Mitigating Injected and Natural Backdoors During Training Z Wang, H Ding, J Zhai, S Ma Advances in Neural Information Processing Systems, 2022 | 28 | 2022 |
| Rethinking the Reverse-engineering of Trojan Triggers Z Wang, K Mei, H Ding, J Zhai, S Ma Advances in Neural Information Processing Systems, 2022 | 27 | 2022 |
| NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models K Mei, Z Li, Z Wang, Y Zhang, S Ma Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 22 | 2023 |
| UNICORN: A Unified Backdoor Trigger Inversion Framework Z Wang, K Mei, J Zhai, S Ma The Eleventh International Conference on Learning Representations, 2023 | 18 | 2023 |
| CODAN: Counting-driven Attention Network for Vehicle Detection in Congested Scenes W Li, Z Wang, X Wu, J Zhang, Q Peng, H Li Proceedings of the 28th ACM International Conference on Multimedia, 73-82, 2020 | 16 | 2020 |
| DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models Z Wang, C Chen, L Lyu, D Metaxas, S Ma The Twelfth International Conference on Learning Representations, 2024 | 11* | 2024 |
| Backdoor Vulnerabilities in Normally Trained Deep Learning Models G Tao, Z Wang, S Cheng, S Ma, S An, Y Liu, G Shen, Z Zhang, Y Mao, ... arXiv preprint arXiv:2211.15929, 2022 | 11 | 2022 |
| Distribution Preserving Backdoor Attack in Self-supervised Learning G Tao*, Z Wang*, S Feng, G Shen, S Ma, X Zhang 2024 IEEE Symposium on Security and Privacy (SP), 29-29, 2023 | 5 | 2023 |
| Where Did I Come From? Origin Attribution of AI-Generated Images Z Wang, C Chen, Y Zeng, L Lyu, S Ma Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 4* | 2023 |
| Health-LLM: Personalized Retrieval-Augmented Disease Prediction Model M Jin, Q Yu, D Shu, C Zhang, L Fan, W Hua, S Zhu, Y Meng, Z Wang, ... arXiv preprint arXiv:2402.00746, 2024 | 1 | 2024 |
| Exploring Concept Depth: How Large Language Models Acquire Knowledge at Different Layers? M Jin, Q Yu, J Huang, Q Zeng, Z Wang, W Hua, H Zhao, K Mei, Y Meng, ... arXiv preprint arXiv:2404.07066, 2024 | | 2024 |
| Finding needles in a haystack: A Black-Box Approach to Invisible Watermark Detection M Pan, Z Wang, X Dong, V Sehwag, L Lyu, X Lin arXiv preprint arXiv:2403.15955, 2024 | | 2024 |
| ProLLM: Protein Chain-of-Thoughts Enhanced LLM for Protein-Protein Interaction Prediction M Jin, X Haochen, Z Wang, B Kang, R Ye, K Zhou, M Du, Y Zhang bioRxiv, 2024.04. 18.590025, 2024 | | 2024 |
| Learning Selective Assignment Network for Scene-Aware Vehicle Detection Z Wang, W Li, X Wu, L Sheng 2022 IEEE International Conference on Image Processing (ICIP), 1366-1370, 2022 | | 2022 |
