1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.LG2021★ 1 cited
Energy Attack: On Transferring Adversarial Examples
Ruoxi Shi, Borui Yang, Yangzhou Jiang +2
In this work we propose Energy Attack, a transfer-based black-box -adversarial attack. The attack is parameter-free and does not require gradient approximation. In partic…
cs.CR2020
Learning Black-Box Attackers with Transferable Priors and Query Feedback
Jiancheng Yang, Yangzhou Jiang, Xiaoyang Huang +2
This paper addresses the challenging black-box adversarial attack problem, where only classification confidence of a victim model is available. Inspired by consistency of visual sa…
cs.LG2019
Exploiting Channel Similarity for Accelerating Deep Convolutional Neural Networks
Yunxiang Zhang, Chenglong Zhao, Bingbing Ni +2
To address the limitations of existing magnitude-based pruning algorithms in cases where model weights or activations are of large and similar magnitude, we propose a novel perspec…