| A Pragmatic Approach to Membership Inferences on Machine Learning Models Y Long, L Wang, D Bu, V Bindschaedler, X Wang, H Tang, CA Gunter, ... 2020 IEEE European Symposium on Security and Privacy (EuroS&P), 521-534, 2020 | 279* | 2020 |
| {CommanderSong}: A systematic approach for practical adversarial voice recognition X Yuan, Y Chen, Y Zhao, Y Long, X Liu, K Chen, S Zhang, H Huang, ... 27th USENIX security symposium (USENIX security 18), 49-64, 2018 | 257 | 2018 |
| Towards measuring membership privacy Y Long, V Bindschaedler, CA Gunter arXiv preprint arXiv:1712.09136, 2017 | 93 | 2017 |
| G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators Y Long, B Wang, Z Yang, B Kailkhura, A Zhang, CA Gunter, B Li Thirty-Fifth Conference on Neural Information Processing Systems, 2021 | 74* | 2021 |
| 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 | 46 | 2022 |
| Datalens: Scalable privacy preserving training via gradient compression and aggregation B Wang, F Wu, Y Long, L Rimanic, C Zhang, B Li Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications …, 2021 | 30 | 2021 |
| Distributed and Secure ML with Self-tallying Multi-party Aggregation Y Long, T Gangwani, H Mughees, C Gunter arXiv preprint arXiv:1811.10296, 2018 | 2 | 2018 |
| SoK: Privacy-Preserving Data Synthesis Y Hu, F Wu, Q Li, Y Long, GM Garrido, C Ge, B Ding, D Forsyth, B Li, ... arXiv preprint arXiv:2307.02106, 2023 | 1 | 2023 |
| Privacy of Autonomous Vehicles: Risks, Protection Methods, and Future Directions C Xie, Z Cao, Y Long, D Yang, D Zhao, B Li arXiv preprint arXiv:2209.04022, 2022 | 1 | 2022 |
| Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks C Xie, Y Long, PY Chen, Q Li, S Koyejo, B Li Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications …, 2023 | | 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, 139-155, 2022 | | 2022 |
| Certified Robustness for Free in Differentially Private Federated Learning C Xie, Y Long, PY Chen, K Kenthapadi, B Li | | 2021 |
| Understanding and mitigating privacy risk in machine learning systems Y Long | | 2020 |
| A Hypothesis Testing Approach to Sharing Logs with Confidence Y Long, L Xu, CA Gunter Proceedings of the Tenth ACM Conference on Data and Application Security and …, 2020 | | 2020 |
| BEEER: distributed record and replay for medical devices in hospital operating rooms A Hojjati, Y Long, S Demetriou, CA Gunter Proceedings of the 6th Annual Symposium on Hot Topics in the Science of …, 2019 | | 2019 |
