| A backdoor attack against 3d point cloud classifiers Z Xiang, DJ Miller, S Chen, X Li, G Kesidis Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 63 | 2021 |
| Detecting Backdoor Attacks Against Point Cloud Classifiers Z Xiang, DJ Miller, S Chen, X Li, G Kesidis ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 17 | 2022 |
| Test-Time Detection of Backdoor Triggers for Poisoned Deep Neural Networks X Li, Z Xiang, DJ Miller, G Kesidis ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 13 | 2022 |
| Backdoor attack and defense for deep regression X Li, G Kesidis, DJ Miller, V Lucic arXiv preprint arXiv:2109.02381, 2021 | 7 | 2021 |
| A scalable mixture model based defense against data poisoning attacks on classifiers X Li, DJ Miller, Z Xiang, G Kesidis Dynamic Data Driven Applications Systems: Third International Conference …, 2020 | 6 | 2020 |
| Backdoor Threats from Compromised Foundation Models to Federated Learning X Li, S Wang, C Wu, H Zhou, J Wang FL@FM-NeurIPS’23, 2023 | 4 | 2023 |
| Temporal-Distributed Backdoor Attack Against Video Based Action Recognition X Li, S Wang, R Huang, M Gowda, G Kesidis AAAI'24, 2023 | 3 | 2023 |
| Unveiling Backdoor Risks Brought by Foundation Models in Heterogeneous Federated Learning X Li, C Wu, J Wang PAKDD-24, 2023 | 2 | 2023 |
| A BIC-Based Mixture Model Defense Against Data Poisoning Attacks on Classifiers X Li, DJ Miller, Z Xiang, G Kesidis 2023 IEEE 33rd International Workshop on Machine Learning for Signal …, 2023 | 2 | 2023 |
| Backdoor Mitigation by Correcting the Distribution of Neural Activations X Li, Z Xiang, DJ Miller, G Kesidis arXiv preprint arXiv:2308.09850, 2023 | 2 | 2023 |
| Robust and Active Learning for Deep Neural Network Regression X Li, G Kesidis, DJ Miller, M Bergeron, R Ferguson, V Lucic arXiv preprint arXiv:2107.13124, 2021 | 2 | 2021 |
| Position Paper: Assessing Robustness, Privacy, and Fairness in Federated Learning Integrated with Foundation Models X Li, J Wang arXiv preprint arXiv:2402.01857, 2024 | 1 | 2024 |
| Vulnerabilities of Foundation Model Integrated Federated Learning Under Adversarial Threats C Wu, X Li, J Wang arXiv preprint arXiv:2401.10375, 2024 | 1 | 2024 |
George KesidisProfessor of Computer Science and Engineering, Pennsylvania State University; Professor of Electrical Engineering, Pennsylvania Verified email at engr.psu.edu
