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Battista Biggio

University of Cagliari

RAID: A Dataset for Testing the Adversarial Robustness of AI-Generated Image Detectors

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Jun 09, 2025
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Buffer-free Class-Incremental Learning with Out-of-Distribution Detection

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May 29, 2025
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On the Robustness of Adversarial Training Against Uncertainty Attacks

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Oct 29, 2024
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Adversarial Pruning: A Survey and Benchmark of Pruning Methods for Adversarial Robustness

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Sep 02, 2024
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Sonic: Fast and Transferable Data Poisoning on Clustering Algorithms

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Aug 14, 2024
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HO-FMN: Hyperparameter Optimization for Fast Minimum-Norm Attacks

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Jul 11, 2024
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ModSec-Learn: Boosting ModSecurity with Machine Learning

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Jun 19, 2024
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Over-parameterization and Adversarial Robustness in Neural Networks: An Overview and Empirical Analysis

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Jun 14, 2024
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SLIFER: Investigating Performance and Robustness of Malware Detection Pipelines

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May 23, 2024
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Certified Adversarial Robustness of Machine Learning-based Malware Detectors via (De)Randomized Smoothing

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May 01, 2024
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