Linkteller: Recovering private edges from graph neural networks via influence analysis F Wu, Y Long, C Zhang, B Li 2022 IEEE Symposium on Security and Privacy (SP), 2005-2024, 2022 | 103 | 2022 |
Scalability vs. utility: Do we have to sacrifice one for the other in data importance quantification? R Jia, F Wu, X Sun, J Xu, D Dao, B Kailkhura, C Zhang, B Li, D Song Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 70 | 2021 |
Factor graph neural networks Z Zhang, F Wu, WS Lee Advances in Neural Information Processing Systems (NeurIPS 2020) 33, 8577-8587, 2020 | 63 | 2020 |
Crop: Certifying robust policies for reinforcement learning through functional smoothing F Wu, L Li, Z Huang, Y Vorobeychik, D Zhao, B Li The Tenth International Conference on Learning Representations (ICLR 2022), 2021 | 54 | 2021 |
Copa: Certifying robust policies for offline reinforcement learning against poisoning attacks F Wu, L Li, C Xu, H Zhang, B Kailkhura, K Kenthapadi, D Zhao, B Li The Tenth International Conference on Learning Representations (ICLR 2022), 2022 | 35 | 2022 |
Degnn: Improving graph neural networks with graph decomposition X Miao, NM Gürel, W Zhang, Z Han, B Li, W Min, SX Rao, H Ren, Y Shan, ... Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 28 | 2021 |
SoK: Privacy-Preserving Data Synthesis Y Hu*, F Wu*, Q Li, Y Long, GM Garrido, C Ge, B Ding, D Forsyth, B Li, ... 2024 IEEE Symposium on Security and Privacy (SP), 2023 | 17 | 2023 |
SecretGen: Privacy Recovery on Pre-trained Models via Distribution Discrimination Z Yuan, F Wu, Y Long, C Xiao, B Li European Conference on Computer Vision (ECCV 2022), 139-155, 2022 | 13 | 2022 |
Understanding the impact of adversarial robustness on accuracy disparity Y Hu, F Wu, H Zhang, H Zhao International Conference on Machine Learning (ICML 2023), 13679-13709, 2023 | 10 | 2023 |
Generative monoculture in large language models F Wu, E Black, V Chandrasekaran arXiv preprint arXiv:2407.02209, 2024 | 5 | 2024 |
Privately Aligning Language Models with Reinforcement Learning F Wu, HA Inan, A Backurs, V Chandrasekaran, J Kulkarni, R Sim The Twelfth International Conference on Learning Representations (ICLR 2024), 2023 | 5 | 2023 |
Factor graph neural networks Z Zhang, MH Dupty, F Wu, JQ Shi, WS Lee The Journal of Machine Learning Research 24 (1), 8618-8671, 2023 | 5 | 2023 |
The Twelvefold Way of Non-Sequential Lossless Compression TA ur Rahman, AS Barbehenn, X Chen, H Dbouk, JA Douglas, Y Geng, ... 2021 Data Compression Conference (DCC), 336-336, 2021 | | 2021 |