889 citations · 1.7k across the 37 of their papers we have counts for
4 papers · 1 filter
Poisoning Attacks on Cyber Attack Detectors for Industrial Control Systems
Moshe Kravchik, Battista Biggio, Asaf Shabtai
Recently, neural network (NN)-based methods, including autoencoders, have been proposed for the detection of cyber attacks targeting industrial control systems (ICSs). Such detecto…
FADER: Fast Adversarial Example Rejection
Francesco Crecchi, Marco Melis, Angelo Sotgiu +2
Deep neural networks are vulnerable to adversarial examples, i.e., carefully-crafted inputs that mislead classification at test time. Recent defenses have been shown to improve adv…
Adversarial Feature Selection against Evasion Attacks
Fei Zhang, Patrick P. K. Chan, Battista Biggio +2
Pattern recognition and machine learning techniques have been increasingly adopted in adversarial settings such as spam, intrusion and malware detection, although their security ag…
Poisoning Attacks on Algorithmic Fairness
David Solans, Battista Biggio, Carlos Castillo
Research in adversarial machine learning has shown how the performance of machine learning models can be seriously compromised by injecting even a small fraction of poisoning point…