3 papers
cs.LG2026
STARFISH: faST Accuracy Recovery in pruned networks From Internal State Healing
Shir Maon, Odelia Melamed, Adi Shamir
Pruning is a process designed to reduce the number of weights in a large neural network. This can substantially speed up inference but might cause a considerable reduction in the m…
cs.CV2026
A Provable Energy-Guided Test-Time Defense Boosting Adversarial Robustness of Large Vision-Language Models
Mujtaba Hussain Mirza, Antonio D'Orazio, Odelia Melamed +1
Despite the rapid progress in multimodal models and Large Visual-Language Models (LVLM), they remain highly susceptible to adversarial perturbations, raising serious concerns about…
cs.LG2025
Provable Unlearning with Gradient Ascent on Two-Layer ReLU Neural Networks
Odelia Melamed, Gilad Yehudai, Gal Vardi
Machine Unlearning aims to remove specific data from trained models, addressing growing privacy and ethical concerns. We provide a theoretical analysis of a simple and widely used…