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
Differential Privacy
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
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