Enhancing Adversarial Example Transferability with an Intermediate Level Attack

Neural networks are vulnerable to adversarial examples, malicious inputs crafted to fool trained models. Adversarial examples often exhibit black-box transfer, meaning that adversarial examples for one model can fool another model. However, adversarial examples are typically overfit to exploit the p...

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Bibliographische Detailangaben

Hauptverfasser:	Huang, Qian, Katsman, Isay, He, Horace, Gu, Zeqi, Belongie, Serge, Lim, Ser-Nam
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Cryptography and Security Computer Science - Learning Statistics - Machine Learning
Online-Zugang:	Volltext bestellen
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