RESIST: Resilient Decentralized Learning Using Consensus Gradient Descent
Authors: Cheng Fang, Rishabh Dixit, Waheed U. Bajwa, Mert Gurbuzbalaban | Published: 2025-02-11
Trustworthy AI: Safety, Bias, and Privacy — A Survey
Authors: Xingli Fang, Jianwei Li, Varun Mulchandani, Jung-Eun Kim | Published: 2025-02-11 | Updated: 2025-06-11
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
ExpProof : Operationalizing Explanations for Confidential Models with ZKPs
Authors: Chhavi Yadav, Evan Monroe Laufer, Dan Boneh, Kamalika Chaudhuri | Published: 2025-02-06 | Updated: 2025-05-27
Privacy Amplification by Structured Subsampling for Deep Differentially Private Time Series Forecasting
Authors: Jan Schuchardt, Mina Dalirrooyfard, Jed Guzelkabaagac, Anderson Schneider, Yuriy Nevmyvaka, Stephan Günnemann | Published: 2025-02-04 | Updated: 2025-05-29
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