StyleFool: Fooling Video Classification Systems via Style Transfer
Author:
Affiliation:
1. Tsinghua University,Shenzhen International Graduate School,China
2. CSIRO’s Data61,Australia
3. Swinburne University of Technology,Australia
Funder
National Natural Science Foundation of China
Research and Development
Tsinghua Shenzhen International Graduate School
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10179215/10179280/10179383.pdf?arnumber=10179383
Reference89 articles.
1. ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples
2. Over-the-Air Adversarial Flickering Attacks against Video Recognition Networks
3. AdvIT: Adversarial Frames Identifier Based on Temporal Consistency in Videos
4. Certified adversarial robustness via randomized smoothing;cohen;Proc of the International Conference on Machine Learning (ICML),2019
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