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Angelo Sotgiu

ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches

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Mar 07, 2022
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Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples

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Jun 18, 2021
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FADER: Fast Adversarial Example Rejection

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Oct 18, 2020
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Can Domain Knowledge Alleviate Adversarial Attacks in Multi-Label Classifiers?

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Jun 06, 2020
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secml: A Python Library for Secure and Explainable Machine Learning

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Dec 20, 2019
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Deep Neural Rejection against Adversarial Examples

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Oct 01, 2019
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