SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems

SentiNet is a novel detection framework for localized universal attacks on neural networks. These attacks restrict adversarial noise to contiguous portions of an image and are reusable with different images -- constraints that prove useful for generating physically-realizable attacks. Unlike most ot...

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Hauptverfasser:	Chou, Edward, Tramèr, Florian, Pellegrino, Giancarlo
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Cryptography and Security
Online-Zugang:	Volltext bestellen
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