Q-ShiftDP: A Differentially Private Parameter-Shift Rule for Quantum Machine Learning
Authors: Hoang M. Ngo, Nhat Hoang-Xuan, Quan Nguyen, Nguyen Do, Incheol Shin, My T. Thai | Published: 2026-02-03
Privacy protection framework
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
Quantum Machine Learning for Cybersecurity: A Taxonomy and Future Directions
Authors: Siva Sai, Ishika Goyal, Shubham Sharma, Sri Harshita Manuri, Vinay Chamola, Rajkumar Buyya | Published: 2025-12-17
PerProb: Indirectly Evaluating Memorization in Large Language Models
Authors: Yihan Liao, Jacky Keung, Xiaoxue Ma, Jingyu Zhang, Yicheng Sun | Published: 2025-12-16
Differentially Private In-Context Learning with Nearest Neighbor Search
Authors: Antti Koskela, Tejas Kulkarni, Laith Zumot | Published: 2025-11-06
PrivacyXray: Detecting Privacy Breaches in LLMs through Semantic Consistency and Probability Certainty
Authors: Jinwen He, Yiyang Lu, Zijin Lin, Kai Chen, Yue Zhao | Published: 2025-06-24
Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning
Authors: Maximilian Egger, Rawad Bitar | Published: 2025-06-11
Safeguard-by-Development: A Privacy-Enhanced Development Paradigm for Multi-Agent Collaboration Systems
Authors: Jian Cui, Zichuan Li, Luyi Xing, Xiaojing Liao | Published: 2025-05-07 | Updated: 2025-06-24
Generate-then-Verify: Reconstructing Data from Limited Published Statistics
Authors: Terrance Liu, Eileen Xiao, Adam Smith, Pratiksha Thaker, Zhiwei Steven Wu | Published: 2025-04-29 | Updated: 2025-06-11