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Yunhui Long
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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
316*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
2752018
Towards measuring membership privacy
Y Long, V Bindschaedler, CA Gunter
arXiv preprint arXiv:1712.09136, 2017
992017
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
90*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
652022
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
422021
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
42023
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
42022
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
22023
Distributed and Secure ML with Self-tallying Multi-party Aggregation
Y Long, T Gangwani, H Mughees, C Gunter
arXiv preprint arXiv:1811.10296, 2018
22018
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
12022
Certified Robustness for Free in Differentially Private Federated Learning
C Xie, Y Long, PY Chen, K Kenthapadi, B Li
12021
Understanding and mitigating privacy risk in machine learning systems
Y Long
University of Illinois at Urbana-Champaign, 2020
12020
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
12020
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
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Articles 1–15