Prada: Black-Box LLM Adaptation with Private Data on Resource-Constrained Devices
Authors: Ziyao Wang, Yexiao He, Zheyu Shen, Yu Li, Guoheng Sun, Myungjin Lee, Ang Li | Published: 2025-03-19
プライバシー保護手法
Zero-Knowledge Proof-Based Consensus for Blockchain-Secured Federated Learning
Authors: Tianxing Fu, Jia Hu, Geyong Min, Zi Wang | Published: 2025-03-17
VeriLeaky: Navigating IP Protection vs Utility in Fine-Tuning for LLM-Driven Verilog Coding
Authors: Zeng Wang, Minghao Shao, Mohammed Nabeel, Prithwish Basu Roy, Likhitha Mankali, Jitendra Bhandari, Ramesh Karri, Ozgur Sinanoglu, Muhammad Shafique, Johann Knechtel | Published: 2025-03-17
Research on Large Language Model Cross-Cloud Privacy Protection and Collaborative Training based on Federated Learning
Authors: Ze Yang, Yihong Jin, Yihan Zhang, Juntian Liu, Xinhe Xu | Published: 2025-03-15
Split-n-Chain: Privacy-Preserving Multi-Node Split Learning with Blockchain-Based Auditability
Authors: Mukesh Sahani, Binanda Sengupta | Published: 2025-03-10 | Updated: 2025-04-15
Secure On-Device Video OOD Detection Without Backpropagation
Authors: Shawn Li, Peilin Cai, Yuxiao Zhou, Zhiyu Ni, Renjie Liang, You Qin, Yi Nian, Zhengzhong Tu, Xiyang Hu, Yue Zhao | Published: 2025-03-08 | Updated: 2025-03-17
Privacy-Preserving Dynamic Assortment Selection
Authors: Young Hyun Cho, Will Wei Sun | Published: 2024-10-29
Federated Learning in Practice: Reflections and Projections
Authors: Katharine Daly, Hubert Eichner, Peter Kairouz, H. Brendan McMahan, Daniel Ramage, Zheng Xu | Published: 2024-10-11
PILLAR: an AI-Powered Privacy Threat Modeling Tool
Authors: Majid Mollaeefar, Andrea Bissoli, Silvio Ranise | Published: 2024-10-11
Privately Learning from Graphs with Applications in Fine-tuning Large Language Models
Authors: Haoteng Yin, Rongzhe Wei, Eli Chien, Pan Li | Published: 2024-10-10