Cachemir: Fully Homomorphic Encrypted Inference of Generative Large Language Model with KV Cache
Authors: Ye Yu, Yifan Zhou, Yi Chen, Pedro Soto, Wenjie Xiong, Meng Li | Published: 2026-02-12
Differential Privacy
Towards Explainable Federated Learning: Understanding the Impact of Differential Privacy
Authors: Júlio Oliveira, Rodrigo Ferreira, André Riker, Glaucio H. S. Carvalho, Eirini Eleni Tsilopoulou | Published: 2026-02-10
Guaranteeing Privacy in Hybrid Quantum Learning through Theoretical Mechanisms
Authors: Hoang M. Ngo, Tre' R. Jeter, Incheol Shin, Wanli Xing, Tamer Kahveci, My T. Thai | Published: 2026-02-02
LoRA and Privacy: When Random Projections Help (and When They Don’t)
Authors: Yaxi Hu, Johanna Düngler, Bernhard Schölkopf, Amartya Sanyal | Published: 2026-01-29
Data-Free Privacy-Preserving for LLMs via Model Inversion and Selective Unlearning
Authors: Xinjie Zhou, Zhihui Yang, Lechao Cheng, Sai Wu, Gang Chen | Published: 2026-01-22
PAC-Private Responses with Adversarial Composition
Authors: Xiaochen Zhu, Mayuri Sridhar, Srinivas Devadas | Published: 2026-01-20
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