Liqiang Wang

most citedRobust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness

17 citations · 39 across the 7 of their papers we have counts for

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cs.LG2020

Trace-Norm Adversarial Examples

Ehsan Kazemi, Thomas Kerdreux, Liqiang Wang

White box adversarial perturbations are sought via iterative optimization algorithms most often minimizing an adversarial loss on a $l_{p}$ neighborhood of the original image, the so…

cs.LG2019

NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks

Yandong Li, Lijun Li, Liqiang Wang +2

Powerful adversarial attack methods are vital for understanding how to construct robust deep neural networks (DNNs) and for thoroughly testing defense techniques. In this paper, we…