PAC-Private Responses with Adversarial Composition
Authors: Xiaochen Zhu, Mayuri Sridhar, Srinivas Devadas | Published: 2026-01-20
差分プライバシー
Privacy Enhanced PEFT: Tensor Train Decomposition Improves Privacy Utility Tradeoffs under DP-SGD
Authors: Pradip Kunwar, Minh Vu, Maanak Gupta, Manish Bhattarai | Published: 2026-01-15
SoK: Privacy-aware LLM in Healthcare: Threat Model, Privacy Techniques, Challenges and Recommendations
Authors: Mohoshin Ara Tahera, Karamveer Singh Sidhu, Shuvalaxmi Dass, Sajal Saha | Published: 2026-01-15
SoK: Enhancing Cryptographic Collaborative Learning with Differential Privacy
Authors: Francesco Capano, Jonas Böhler, Benjamin Weggenmann | Published: 2026-01-14
Differential Privacy for Secure Machine Learning in Healthcare IoT-Cloud Systems
Authors: N Mangala, Murtaza Rangwala, S Aishwarya, B Eswara Reddy, Rajkumar Buyya, KR Venugopal, SS Iyengar, LM Patnaik | Published: 2025-12-11
Scaling Trust in Quantum Federated Learning: A Multi-Protocol Privacy Design
Authors: Dev Gurung, Shiva Raj Pokhrel | Published: 2025-12-03
Observational Auditing of Label Privacy
Authors: Iden Kalemaj, Luca Melis, Maxime Boucher, Ilya Mironov, Saeed Mahloujifar | Published: 2025-11-18
GRPO Privacy Is at Risk: A Membership Inference Attack Against Reinforcement Learning With Verifiable Rewards
Authors: Yule Liu, Heyi Zhang, Jinyi Zheng, Zhen Sun, Zifan Peng, Tianshuo Cong, Yilong Yang, Xinlei He, Zhuo Ma | Published: 2025-11-18
Tight and Practical Privacy Auditing for Differentially Private In-Context Learning
Authors: Yuyang Xia, Ruixuan Liu, Li Xiong | Published: 2025-11-17
Secure Sparse Matrix Multiplications and their Applications to Privacy-Preserving Machine Learning
Authors: Marc Damie, Florian Hahn, Andreas Peter, Jan Ramon | Published: 2025-10-16