37 citations · 151 across the 16 of their papers we have counts for
Showing 2021Show all
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cs.CV2021★ 27 cited
Boosting Adversarial Transferability through Enhanced Momentum
Xiaosen Wang, Jiadong Lin, Han Hu +2
Deep learning models are known to be vulnerable to adversarial examples crafted by adding human-imperceptible perturbations on benign images. Many existing adversarial attack metho…
cs.LG2021★ 2 cited
Robustness of on-device Models: Adversarial Attack to Deep Learning Models on Android Apps
Yujin Huang, Han Hu, Chunyang Chen
Deep learning has shown its power in many applications, including object detection in images, natural-language understanding, and speech recognition. To make it more accessible to…