LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice
Authors: M. Mikail Demir, Hakan T. Otal, M. Abdullah Canbaz | Published: 2025-01-19
Privacy Protection
A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation Strategy
Authors: Huandong Wang, Wenjie Fu, Yingzhou Tang, Zhilong Chen, Yuxi Huang, Jinghua Piao, Chen Gao, Fengli Xu, Tao Jiang, Yong Li | Published: 2025-01-16
Trusted Machine Learning Models Unlock Private Inference for Problems Currently Infeasible with Cryptography
Authors: Ilia Shumailov, Daniel Ramage, Sarah Meiklejohn, Peter Kairouz, Florian Hartmann, Borja Balle, Eugene Bagdasarian | Published: 2025-01-15
Tag&Tab: Pretraining Data Detection in Large Language Models Using Keyword-Based Membership Inference Attack
Authors: Sagiv Antebi, Edan Habler, Asaf Shabtai, Yuval Elovici | Published: 2025-01-14
TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning
Authors: Runhua Xu, Bo Li, Chao Li, James B. D. Joshi, Shuai Ma, Jianxin Li | Published: 2025-01-09
AutoDFL: A Scalable and Automated Reputation-Aware Decentralized Federated Learning
Authors: Meryem Malak Dif, Mouhamed Amine Bouchiha, Mourad Rabah, Yacine Ghamri-Doudane | Published: 2025-01-08
VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning
Authors: Ahmed Ayoub Bellachia, Mouhamed Amine Bouchiha, Yacine Ghamri-Doudane, Mourad Rabah | Published: 2025-01-08
Structure-Preference Enabled Graph Embedding Generation under Differential Privacy
Authors: Sen Zhang, Qingqing Ye, Haibo Hu | Published: 2025-01-07
Practical Secure Inference Algorithm for Fine-tuned Large Language Model Based on Fully Homomorphic Encryption
Authors: Zhang Ruoyan, Zheng Zhongxiang, Bao Wankang | Published: 2025-01-03 | Updated: 2025-01-07
NET-SA: An Efficient Secure Aggregation Architecture Based on In-Network Computing
Authors: Qingqing Ren, Wen Wang, Shuyong Zhu, Zhiyuan Wu, Yujun Zhang | Published: 2025-01-02