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Oryan Yehezkel

2 accepted papers

2025

Gradient Inversion of Multimodal Models

ICML 2025poster

Federated learning (FL) enables privacy-preserving distributed machine learning by sharing gradients instead of raw data. However, FL remains vulnerable to gradient inversion attacks, in which shared gradients can reveal sensitive training data. Prior research has mainly concentrated on unimodal tas…

Cited by 0SourcePDFScholar
2024

DeSparsify: Adversarial Attack Against Token Sparsification Mechanisms

NeurIPS 2024spotlight

Vision transformers have shown remarkable advancements in the computer vision domain, demonstrating state-of-the-art performance in diverse tasks (e.g., image classification, object detection). However, their high computational requirements grow quadratically with the number of tokens used. Token sp…

Cited by 0SourcePDFScholar