| Information leakage by model weights on federated learning X Xu, J Wu, M Yang, T Luo, X Duan, W Li, Y Wu, B Wu Proceedings of the 2020 workshop on privacy-preserving machine learning in …, 2020 | 26 | 2020 |
| Universal soldier: Using universal adversarial perturbations for detecting backdoor attacks X Xu, O Ersoy, B Tajalli, S Picek 2024 54th Annual IEEE/IFIP International Conference on Dependable Systems …, 2024 | 4 | 2024 |
| Poster: Boosting Adversarial Robustness by Adversarial Pre-training X Xu, S Picek Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications …, 2023 | 1 | 2023 |
| IB-RAR: Information Bottleneck as Regularizer for Adversarial Robustness X Xu, G Perin, S Picek 2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems …, 2023 | 1 | 2023 |
| BAN: Detecting Backdoors Activated by Adversarial Neuron Noise X Xu, Z Liu, S Koffas, S Yu, S Picek Advances in Neural Information Processing Systems (NeurIPS), 2024 | | 2024 |
| MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness X Xu, S Yu, Z Liu, S Picek arXiv preprint arXiv:2312.04960, 2023 | | 2023 |
| AI-CTO: Knowledge graph for automated and dependable software stack solution X Xu, J Wu, M Yang, T Luo, Q Meng, W Li, Y Wu Journal of Intelligent & Fuzzy Systems 40 (1), 799-812, 2021 | | 2021 |
| BAN: Detecting Backdoors Activated by Neuron Noise Z Liu, S Koffas, S Yu, S Picek The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0 | | |
