400 citations · 755 across the 28 of their papers we have counts for
4 papers · 1 filter
Bag of Tricks for Adversarial Training
Tianyu Pang, Xiao Yang, Yinpeng Dong +2
Adversarial training (AT) is one of the most effective strategies for promoting model robustness. However, recent benchmarks show that most of the proposed improvements on AT are l…
RobFR: Benchmarking Adversarial Robustness on Face Recognition
Xiao Yang, Dingcheng Yang, Yinpeng Dong +3
Face recognition (FR) has recently made substantial progress and achieved high accuracy on standard benchmarks. However, it has raised security concerns in enormous FR applications…
Towards Face Encryption by Generating Adversarial Identity Masks
Xiao Yang, Yinpeng Dong, Tianyu Pang +4
As billions of personal data being shared through social media and network, the data privacy and security have drawn an increasing attention. Several attempts have been made to all…
Boosting Adversarial Training with Hypersphere Embedding
Tianyu Pang, Xiao Yang, Yinpeng Dong +3
Adversarial training (AT) is one of the most effective defenses against adversarial attacks for deep learning models. In this work, we advocate incorporating the hypersphere embedd…