Xinyu Tang

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Prateek MittalProfessor, Princeton UniversityVerified email at princeton.edu
Saeed MahloujifarFAIR, MetaVerified email at meta.com
Milad NasrGoogle DeepMindVerified email at srxzr.com
Amir HoumansadrUniversity of Massachusetts AmherstVerified email at cs.umass.edu
Ashwinee PandaPostdoctoral Fellow, University of MarylandVerified email at umd.edu
virat shejwalkarGoogleVerified email at google.com
Liwei SongPhD Student, Princeton UniversityVerified email at princeton.edu
Vikash SehwagSony AI; Princeton UniversityVerified email at princeton.edu
Zinan LinMicrosoft Research (Redmond), Carnegie Mellon UniversityVerified email at microsoft.com
Huseyin A. InanMicrosoft Research AIVerified email at microsoft.com
Niloofar (Fatemeh) MireshghallahPostdoctoral scholar, University of WashingtonVerified email at cs.washington.edu
Andre ManoelApplied Scientist, GretelVerified email at gretel.ai
Sivakanth GopiMicrosoft ResearchVerified email at microsoft.com
Janardhan KulkarniMicrosoft Research, RedmondVerified email at cs.washington.edu
Richard ShinPrincipal Researcher, Microsoft (Semantic Machines)Verified email at microsoft.com
Robert SimSr. Principal Research Manager, MicrosoftVerified email at microsoft.com
Christopher A. Choquette-ChooGoogle DeepMindVerified email at google.com

Xinyu Tang

Princeton University

Verified email at princeton.edu - Homepage

Machine Learning Privacy


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Understanding human gaze communication by spatio-temporal graph reasoning L Fan, W Wang, S Huang, X Tang, SC Zhu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019	136	2019
Mitigating membership inference attacks by {Self-Distillation} through a novel ensemble architecture X Tang, S Mahloujifar, L Song, V Shejwalkar, M Nasr, A Houmansadr, ... 31st USENIX Security Symposium (USENIX Security 22), 1433-1450, 2022	96	2022
Privacy-preserving in-context learning with differentially private few-shot generation X Tang, R Shin, HA Inan, A Manoel, F Mireshghallah, Z Lin, S Gopi, ... ICLR 2024, 2024	48	2024
Machine learning with differentially private labels: Mechanisms and frameworks X Tang, M Nasr, S Mahloujifar, V Shejwalkar, L Song, A Houmansadr, ... Proceedings on Privacy Enhancing Technologies, 2022	16	2022
Differentially private image classification by learning priors from random processes X Tang, A Panda, V Sehwag, P Mittal Advances in Neural Information Processing Systems 36, 2023	15	2023
A New Linear Scaling Rule for Private Adaptive Hyperparameter Optimization A Panda, X Tang, S Mahloujifar, V Sehwag, P Mittal Forty-first International Conference on Machine Learning, 2024	14*	2024
Effectively using public data in privacy preserving machine learning M Nasr, S Mahloujifar, X Tang, P Mittal, A Houmansadr International Conference on Machine Learning, 25718-25732, 2023	14	2023
Private fine-tuning of large language models with zeroth-order optimization X Tang, A Panda, M Nasr, S Mahloujifar, P Mittal Transactions on Machine Learning Research, 2025	13	2025
Privacy Auditing of Large Language Models A Panda, X Tang, M Nasr, CA Choquette-Choo, P Mittal ICML 2024 Next Generation of AI Safety Workshop, 2024	3	2024
Effectively learning from data and generating data in differentially private machine learning X Tang Princeton University, 2024		2024
Differentially Private Generation of High Fidelity Samples From Diffusion Models V Sehwag, A Panda, A Pokle, X Tang, S Mahloujifar, M Chiang, JZ Kolter, ... ICML 2023 DeployableGenerativeAI Workshop, 2023		2023

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