| Feature importance-aware transferable adversarial attacks Z Wang, H Guo, Z Zhang, W Liu, Z Qin, K Ren Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 206 | 2021 |
| AttrLeaks on the Edge: Exploiting Information Leakage from Privacy-Preserving Co-inference Z Wang, K Liu, J Hu, J Ren, H Guo, W Yuan Chinese Journal of Electronics 32 (1), 1-12, 2023 | 35 | 2023 |
| Towards Transferable Targeted Adversarial Examples Z Wang, H Yang, Y Feng, P Sun, H Guo, Z Zhang, K Ren Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 18 | 2023 |
| Towards compression-resistant privacy-preserving photo sharing on social networks Z Wang, H Guo, Z Zhang, M Song, S Zheng, Q Wang, B Niu Proceedings of the Twenty-First International Symposium on Theory …, 2020 | 13 | 2020 |
| Feature Importance-aware Transferable Adversarial Attacks. 2021 IEEE Z Wang, H Guo, Z Zhang, W Liu, Z Qin, K Ren CVF International Conference on Computer Vision (ICCV), 7619-7628, 2021 | 7 | 2021 |
| Practical Deep Dispersed Watermarking with Synchronization and Fusion H Guo, Q Zhang, J Luo, F Guo, W Zhang, X Su, M Li Proceedings of the 31st ACM International Conference on Multimedia, 7922-7932, 2023 | 4 | 2023 |
| Label-free Poisoning Attack against Deep Unsupervised Domain Adaptation Z Wang, W Liu, J Hu, H Guo, Z Qin, J Liu, K Ren IEEE Transactions on Dependable and Secure Computing, 2023 | 3 | 2023 |
| Vanilla Feature Distillation for Improving the Accuracy-Robustness Trade-Off in Adversarial Training G Cao, Z Wang, X Dong, Z Zhang, H Guo, Z Qin, K Ren arXiv preprint arXiv:2206.02158, 2022 | 2 | 2022 |
| Counterfactual-based Saliency Map: Towards Visual Contrastive Explanations for Neural Networks X Wang, Z Wang, H Weng, H Guo, Z Zhang, L Jin, T Wei, K Ren Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | | 2023 |
