Nuclear Deployed: Analyzing Catastrophic Risks in Decision-making of Autonomous LLM Agents
Authors: Rongwu Xu, Xiaojian Li, Shuo Chen, Wei Xu | Published: 2025-02-17 | Updated: 2025-03-23
RLSA-PFL: Robust Lightweight Secure Aggregation with Model Inconsistency Detection in Privacy-Preserving Federated Learning
Authors: Nazatul H. Sultan, Yan Bo, Yansong Gao, Seyit Camtepe, Arash Mahboubi, Hang Thanh Bui, Aufeef Chauhan, Hamed Aboutorab, Michael Bewong, Dineshkumar Singh, Praveen Gauravaram, Rafiqul Islam, Sharif Abuadbba | Published: 2025-02-13 | Updated: 2025-04-16
RESIST: Resilient Decentralized Learning Using Consensus Gradient Descent
Authors: Cheng Fang, Rishabh Dixit, Waheed U. Bajwa, Mert Gurbuzbalaban | Published: 2025-02-11
Scalable and Ethical Insider Threat Detection through Data Synthesis and Analysis by LLMs
Authors: Haywood Gelman, John D. Hastings | Published: 2025-02-10 | Updated: 2025-04-07
Membership Inference Risks in Quantized Models: A Theoretical and Empirical Study
Authors: Eric Aubinais, Philippe Formont, Pablo Piantanida, Elisabeth Gassiat | Published: 2025-02-10
Generating Privacy-Preserving Personalized Advice with Zero-Knowledge Proofs and LLMs
Authors: Hiroki Watanabe, Motonobu Uchikoshi | Published: 2025-02-10 | Updated: 2025-04-24
“Short-length” Adversarial Training Helps LLMs Defend “Long-length” Jailbreak Attacks: Theoretical and Empirical Evidence
Authors: Shaopeng Fu, Liang Ding, Di Wang | Published: 2025-02-06
Online Gradient Boosting Decision Tree: In-Place Updates for Efficient Adding/Deleting Data
Authors: Huawei Lin, Jun Woo Chung, Yingjie Lao, Weijie Zhao | Published: 2025-02-03
Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees
Authors: Yannis Montreuil, Axel Carlier, Lai Xing Ng, Wei Tsang Ooi | Published: 2025-02-03
AgentBreeder: Mitigating the AI Safety Impact of Multi-Agent Scaffolds via Self-Improvement
Authors: J Rosser, Jakob Nicolaus Foerster | Published: 2025-02-02 | Updated: 2025-04-14