Pattern recognition systems have been increasingly used in security applications, although it is known that carefully crafted attacks can compromise their ...
The attack taxonomy proposed in [6, 41] categorizes attacks against learning algorithms along three axes: (i) the attack influence, which can be exploratory, if ...
We analyze the problem of designing pattern recognition systems in adversarial settings, under ... PATTERN RECOGNITION SYSTEMS UNDER ATTACK: DESIGN ISSUES AND ...
Pattern recognition systems under attack. Fabio Roli, Battista Biggio, and ... Attacks against pattern recognition systems emerged only recently as the ap-.
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Pattern Recognition Systems under Attack: Design Issues and Research Challenges · 85 Citations · 75 References.
Poisoning attacks on cyber attack detectors for industrial control systems. SAC '21: Proceedings of the 36th Annual ACM Symposium on Applied Computing.
Abstract: We analyze the problem of designing pattern recognition systems in adversarial settings, under an engineering viewpoint, motivated by their ...
This framework seems promising to investigate which specific structural elements practitioners consider relevant for specific attack vectors and how they ...
Nov 21, 2024 · Pattern recognition systems have been increasingly used in security applications, although it is known that carefully crafted attacks can ...
Abstract. Pattern recognition systems have been increasingly used in security applications, although it is known that carefully crafted attacks.