Yangsibo Huang
Google (United States)(US)
Publications by Year
Research Areas
Privacy-Preserving Technologies in Data, Topic Modeling, Adversarial Robustness in Machine Learning, Natural Language Processing Techniques, Cryptography and Data Security
Most-Cited Works
- → Evaluating Gradient Inversion Attacks and Defenses in Federated Learning(2021)123 cited
- → TextHide: Tackling Data Privacy in Language Understanding Tasks(2020)44 cited
- → DeepMC: a deep learning method for efficient Monte Carlo beamlet dose calculation by predictive denoising in magnetic resonance-guided radiotherapy(2020)33 cited
- → Advancing Differential Privacy: Where We Are Now and Future Directions for Real-World Deployment(2024)32 cited
- → Recovering Private Text in Federated Learning of Language Models(2022)22 cited
- → InstaHide: Instance-hiding Schemes for Private Distributed Learning(2020)19 cited
- → Detecting Pretraining Data from Large Language Models(2023)13 cited
- → A Dataset Auditing Method for Collaboratively Trained Machine Learning Models(2022)13 cited
- → Privacy Implications of Retrieval-Based Language Models(2023)13 cited
- → Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation(2023)11 cited