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Odelia Melamed
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2020 – today
- 2026
[i6]Mujtaba Hussain Mirza, Antonio D'Orazio, Odelia Melamed, Iacopo Masi:
A Provable Energy-Guided Test-Time Defense Boosting Adversarial Robustness of Large Vision-Language Models. CoRR abs/2603.26984 (2026)- 2025
[i5]Odelia Melamed, Gilad Yehudai, Gal Vardi:
Provable Unlearning with Gradient Ascent on Two-Layer ReLU Neural Networks. CoRR abs/2510.14844 (2025)- 2024
[c2]Odelia Melamed, Gilad Yehudai, Adi Shamir:
MALT Powers Up Adversarial Attacks. NeurIPS 2024
[i4]Odelia Melamed, Gilad Yehudai, Adi Shamir:
MALT Powers Up Adversarial Attacks. CoRR abs/2407.02240 (2024)- 2023
[c1]Odelia Melamed, Gilad Yehudai, Gal Vardi:
Adversarial Examples Exist in Two-Layer ReLU Networks for Low Dimensional Linear Subspaces. NeurIPS 2023
[i3]Odelia Melamed, Gilad Yehudai, Gal Vardi:
Adversarial Examples Exist in Two-Layer ReLU Networks for Low Dimensional Data Manifolds. CoRR abs/2303.00783 (2023)
[i2]Odelia Melamed, Rich Caruana:
Explaining high-dimensional text classifiers. CoRR abs/2311.13454 (2023)- 2021
[i1]Adi Shamir, Odelia Melamed, Oriel BenShmuel:
The Dimpled Manifold Model of Adversarial Examples in Machine Learning. CoRR abs/2106.10151 (2021)
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