Frequency-Tuned Universal Adversarial Attacks on Texture Recognition
Author:
Affiliation:
1. Image, Video and Usability Laboratory, School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Graphics and Computer-Aided Design,Software
Link
http://xplorestaging.ieee.org/ielx7/83/9626658/09875118.pdf?arnumber=9875118
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1. Universal Adversarial Perturbation via Prior Driven Uncertainty Approximation
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5. Luminance-model-based DCT quantization for color image compression
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