Federated Learning: An approach with Hybrid Homomorphic Encryption
Authors: Pedro Correia, Ivan Silva, Ivone Amorim, Eva Maia, Isabel Praça | Published: 2025-09-03
Privacy Design Principles
A Comprehensive Guide to Differential Privacy: From Theory to User Expectations
Authors: Napsu Karmitsa, Antti Airola, Tapio Pahikkala, Tinja Pitkämäki | Published: 2025-09-03
Membership Inference Attacks on LLM-based Recommender Systems
Authors: Jiajie He, Yuechun Gu, Min-Chun Chen, Keke Chen | Published: 2025-08-26
On the Security and Privacy of Federated Learning: A Survey with Attacks, Defenses, Frameworks, Applications, and Future Directions
Authors: Daniel M. Jimenez-Gutierrez, Yelizaveta Falkouskaya, Jose L. Hernandez-Ramos, Aris Anagnostopoulos, Ioannis Chatzigiannakis, Andrea Vitaletti | Published: 2025-08-19
Efficient and Verifiable Privacy-Preserving Convolutional Computation for CNN Inference with Untrusted Clouds
Authors: Jinyu Lu, Xinrong Sun, Yunting Tao, Tong Ji, Fanyu Kong, Guoqiang Yang | Published: 2025-08-18
The Man Behind the Sound: Demystifying Audio Private Attribute Profiling via Multimodal Large Language Model Agents
Authors: Lixu Wang, Kaixiang Yao, Xinfeng Li, Dong Yang, Haoyang Li, Xiaofeng Wang, Wei Dong | Published: 2025-07-14 | Updated: 2025-08-20
Privacy-Preserving Analytics for Smart Meter (AMI) Data: A Hybrid Approach to Comply with CPUC Privacy Regulations
Authors: Benjamin Westrich | Published: 2025-05-13
Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity
Authors: Guang Yan, Yuhui Zhang, Zimu Guo, Lutan Zhao, Xiaojun Chen, Chen Wang, Wenhao Wang, Dan Meng, Rui Hou | Published: 2025-05-12
Securing Genomic Data Against Inference Attacks in Federated Learning Environments
Authors: Chetan Pathade, Shubham Patil | Published: 2025-05-12
Cape: Context-Aware Prompt Perturbation Mechanism with Differential Privacy
Authors: Haoqi Wu, Wei Dai, Li Wang, Qiang Yan | Published: 2025-05-09 | Updated: 2025-05-15