Scaling Trust in Quantum Federated Learning: A Multi-Protocol Privacy Design
Authors: Dev Gurung, Shiva Raj Pokhrel | Published: 2025-12-03
Differential Privacy
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
Synth-MIA: A Testbed for Auditing Privacy Leakage in Tabular Data Synthesis
Authors: Joshua Ward, Xiaofeng Lin, Chi-Hua Wang, Guang Cheng | Published: 2025-09-22
Differential Privacy in Federated Learning: Mitigating Inference Attacks with Randomized Response
Authors: Ozer Ozturk, Busra Buyuktanir, Gozde Karatas Baydogmus, Kazim Yildiz | Published: 2025-09-17
Privacy-Aware In-Context Learning for Large Language Models
Authors: Bishnu Bhusal, Manoj Acharya, Ramneet Kaur, Colin Samplawski, Anirban Roy, Adam D. Cobb, Rohit Chadha, Susmit Jha | Published: 2025-09-17
EByFTVeS: Efficient Byzantine Fault Tolerant-based Verifiable Secret-sharing in Distributed Privacy-preserving Machine Learning
Authors: Zhen Li, Zijian Zhang, Wenjin Yang, Pengbo Wang, Zhaoqi Wang, Meng Li, Yan Wu, Xuyang Liu, Jing Sun, Liehuang Zhu | Published: 2025-09-16
DP-FedLoRA: Privacy-Enhanced Federated Fine-Tuning for On-Device Large Language Models
Authors: Honghui Xu, Shiva Shrestha, Wei Chen, Zhiyuan Li, Zhipeng Cai | Published: 2025-09-11