DePrompt: Desensitization and Evaluation of Personal Identifiable Information in Large Language Model Prompts
Authors: Xiongtao Sun, Gan Liu, Zhipeng He, Hui Li, Xiaoguang Li | Published: 2024-08-16
Privacy Protection Method
Privacy in Federated Learning
Authors: Jaydip Sen, Hetvi Waghela, Sneha Rakshit | Published: 2024-08-12
Lancelot: Towards Efficient and Privacy-Preserving Byzantine-Robust Federated Learning within Fully Homomorphic Encryption
Authors: Siyang Jiang, Hao Yang, Qipeng Xie, Chuan Ma, Sen Wang, Guoliang Xing | Published: 2024-08-12
Fast John Ellipsoid Computation with Differential Privacy Optimization
Authors: Jiuxiang Gu, Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song, Junwei Yu | Published: 2024-08-12
Counter Denial of Service for Next-Generation Networks within the Artificial Intelligence and Post-Quantum Era
Authors: Saleh Darzi, Attila A. Yavuz | Published: 2024-08-08
Pre-trained Encoder Inference: Revealing Upstream Encoders In Downstream Machine Learning Services
Authors: Shaopeng Fu, Xuexue Sun, Ke Qing, Tianhang Zheng, Di Wang | Published: 2024-08-05
Privacy-Preserving Hierarchical Model-Distributed Inference
Authors: Fatemeh Jafarian Dehkordi, Yasaman Keshtkarjahromi, Hulya Seferoglu | Published: 2024-07-25 | Updated: 2024-09-15
Theoretical Analysis of Privacy Leakage in Trustworthy Federated Learning: A Perspective from Linear Algebra and Optimization Theory
Authors: Xiaojin Zhang, Wei Chen | Published: 2024-07-23
Private prediction for large-scale synthetic text generation
Authors: Kareem Amin, Alex Bie, Weiwei Kong, Alexey Kurakin, Natalia Ponomareva, Umar Syed, Andreas Terzis, Sergei Vassilvitskii | Published: 2024-07-16 | Updated: 2024-10-09
Explainable Differential Privacy-Hyperdimensional Computing for Balancing Privacy and Transparency in Additive Manufacturing Monitoring
Authors: Fardin Jalil Piran, Prathyush P. Poduval, Hamza Errahmouni Barkam, Mohsen Imani, Farhad Imani | Published: 2024-07-09 | Updated: 2025-03-17