Tracing Privacy Leakage of Language Models to Training Data via Adjusted Influence Functions
Authors: Jinxin Liu, Zao Yang | Published: 2024-08-20 | Updated: 2024-09-05
プライバシー保護手法
Privacy Technologies for Financial Intelligence
Authors: Yang Li, Thilina Ranbaduge, Kee Siong Ng | Published: 2024-08-19
Mitigating Noise Detriment in Differentially Private Federated Learning with Model Pre-training
Authors: Huitong Jin, Yipeng Zhou, Laizhong Cui, Quan Z. Sheng | Published: 2024-08-18
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 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