| Assisted learning: A framework for multi-organization learning X Xian, X Wang, J Ding, R Ghanadan Advances in neural information processing systems 33, 14580-14591, 2020 | 46 | 2020 |
| Understanding Backdoor Attacks through the Adaptability Hypothesis X Xian, G Wang, J Srinivasa, A Kundu, X Bi, M Hong, J Ding 40th International Conference on Machine Learning (ICML), 2023 | 7 | 2023 |
| Understanding Model Extraction Games X Xian, M Hong, J Ding 2022 IEEE 4th International Conference on Trust, Privacy and Security in …, 2022 | 5* | 2022 |
| Imitation privacy X Xian, X Wang, M Hong, J Ding, R Ghanadan arXiv preprint arXiv:2009.00442, 2020 | 3 | 2020 |
| Mismatched Supervised Learning X Xian, M Hong, J Ding ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 2 | 2022 |
| A unified detection framework for inference-stage backdoor defenses X Xian, G Wang, J Srinivasa, A Kundu, X Bi, M Hong, J Ding Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| Assisted learning: cooperative ai with autonomy J Zhou, X Xian, N Li, J Ding ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 1 | 2021 |
| RAW: A Robust and Agile Plug-and-Play Watermark Framework for AI-Generated Images with Provable Guarantees X Xian, G Wang, X Bi, J Srinivasa, A Kundu, M Hong, J Ding arXiv preprint arXiv:2403.18774, 2024 | | 2024 |
| Demystifying Poisoning Backdoor Attacks from a Statistical Perspective X Xian, G Wang, J Srinivasa, A Kundu, X Bi, M Hong, J Ding arXiv preprint arXiv:2310.10780, 2023 | | 2023 |
| DLP: Data-Driven Label-Poisoning Backdoor Attack X Xian, X Bi, M Hong, J Ding | | 2022 |
| ASCII: ASsisted Classification with Ignorance Interchange J Zhou, X Xian, N Li, J Ding arXiv preprint arXiv:2010.10747, 2020 | | 2020 |
