Towards adversarial attack on vision-language pre-training models J Zhang, Q Yi, J Sang Proceedings of the 30th ACM International Conference on Multimedia, 5005-5013, 2022 | 43 | 2022 |
Adversarial privacy-preserving filter J Zhang, J Sang, X Zhao, X Huang, Y Sun, Y Hu Proceedings of the 28th ACM International Conference on Multimedia, 1423-1431, 2020 | 40 | 2020 |
Robust CAPTCHAs towards malicious OCR J Zhang, J Sang, K Xu, S Wu, X Zhao, Y Sun, Y Hu, J Yu IEEE Transactions on Multimedia 23, 2575-2587, 2020 | 18 | 2020 |
Unlearnable clusters: Towards label-agnostic unlearnable examples J Zhang, X Ma, Q Yi, J Sang, YG Jiang, Y Wang, C Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 12 | 2023 |
Adversarial Prompt Tuning for Vision-Language Models J Zhang, X Ma, X Wang, L Qiu, J Wang, YG Jiang, J Sang arXiv preprint arXiv:2311.11261, 2023 | 5 | 2023 |
Low-mid adversarial perturbation against unauthorized face recognition system J Zhang, Q Yi, D Lu, J Sang Information Sciences 648, 119566, 2023 | 4* | 2023 |
ImageNet pre-training also transfers non-robustness J Zhang, J Sang, Q Yi, Y Yang, H Dong, J Yu Proceedings of the AAAI Conference on Artificial Intelligence 37 (3), 3436-3444, 2023 | 4* | 2023 |
Attention, Please! Adversarial Defense via Activation Rectification and Preservation S Wu, J Sang, K Xu, J Zhang, J Yu ACM Transactions on Multimedia Computing, Communications and Applications 19 …, 2023 | 4* | 2023 |
Benign Adversarial Attack: Tricking Models for Goodness J Sang, X Zhao, J Zhang, Z Lin Proceedings of the 30th ACM International Conference on Multimedia, 6883-6889, 2022 | 4* | 2022 |
Trustworthy Multimedia Analysis X Huang, J Zhang, Y Zhang, X Zhao, J Sang Proceedings of the 29th ACM International Conference on Multimedia, 5667-5669, 2021 | 1 | 2021 |
Introducing Foundation Models as Surrogate Models: Advancing Towards More Practical Adversarial Attacks J Zhang, J Sang, Q Yi arXiv preprint arXiv:2307.06608, 2023 | | 2023 |