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Ron Arel

2 accepted papers

2025

Tamper-Resistant Safeguards for Open-Weight LLMs

ICLR 2025poster

Rapid advances in the capabilities of large language models (LLMs) have raised widespread concerns regarding their potential for malicious use. Open-weight LLMs present unique challenges, as existing safeguards lack robustness to tampering attacks that modify model weights. For example, recent works…

2024

FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning

CVPR 2024poster

Standard federated learning approaches suffer when client data distributions have sufficient heterogeneity. Recent methods addressed the client data heterogeneity issue via personalized federated learning (PFL) - a class of FL algorithms aiming to personalize learned global knowledge to better suit…