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Uriya Pesso

1 paper here

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  • first author1

Across the 1 of 1 paper where every author was matched, so the position is known.

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  • cs.CV1

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most citedUtilizing Adversarial Targeted Attacks to Boost Adversarial Robustness

1 citations · 1 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CV2021★ 1 cited

Utilizing Adversarial Targeted Attacks to Boost Adversarial Robustness

Uriya Pesso, Koby Bibas, Meir Feder

Adversarial attacks have been shown to be highly effective at degrading the performance of deep neural networks (DNNs). The most prominent defense is adversarial training, a method…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.