Decentralized Privacy-Preserving Federal Learning of Computer Vision Models on Edge Devices
Authors: Damian Harenčák, Lukáš Gajdošech, Martin Madaras | Published: 2026-01-08
プライバシー保護手法
Know Thy Enemy: Securing LLMs Against Prompt Injection via Diverse Data Synthesis and Instruction-Level Chain-of-Thought Learning
Authors: Zhiyuan Chang, Mingyang Li, Yuekai Huang, Ziyou Jiang, Xiaojun Jia, Qian Xiong, Junjie Wang, Zhaoyang Li, Qing Wang | Published: 2026-01-08
CTIGuardian: A Few-Shot Framework for Mitigating Privacy Leakage in Fine-Tuned LLMs
Authors: Shashie Dilhara Batan Arachchige, Benjamin Zi Hao Zhao, Hassan Jameel Asghar, Dinusha Vatsalan, Dali Kaafar | Published: 2025-12-15
Fast-MIA: Efficient and Scalable Membership Inference for LLMs
Authors: Hiromu Takahashi, Shotaro Ishihara | Published: 2025-10-27
No Prior, No Leakage: Revisiting Reconstruction Attacks in Trained Neural Networks
Authors: Yehonatan Refael, Guy Smorodinsky, Ofir Lindenbaum, Itay Safran | Published: 2025-09-25
Can Federated Learning Safeguard Private Data in LLM Training? Vulnerabilities, Attacks, and Defense Evaluation
Authors: Wenkai Guo, Xuefeng Liu, Haolin Wang, Jianwei Niu, Shaojie Tang, Jing Yuan | Published: 2025-09-25
RAG Security and Privacy: Formalizing the Threat Model and Attack Surface
Authors: Atousa Arzanipour, Rouzbeh Behnia, Reza Ebrahimi, Kaushik Dutta | Published: 2025-09-24
What If, But Privately: Private Counterfactual Retrieval
Authors: Shreya Meel, Mohamed Nomeir, Pasan Dissanayake, Sanghamitra Dutta, Sennur Ulukus | Published: 2025-08-05
SOFT: Selective Data Obfuscation for Protecting LLM Fine-tuning against Membership Inference Attacks
Authors: Kaiyuan Zhang, Siyuan Cheng, Hanxi Guo, Yuetian Chen, Zian Su, Shengwei An, Yuntao Du, Charles Fleming, Ashish Kundu, Xiangyu Zhang, Ninghui Li | Published: 2025-06-12
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