58 citations · 72 across the 3 of their papers we have counts for
3 papers
Live Trojan Attacks on Deep Neural Networks
Robby Costales, Chengzhi Mao, Raphael Norwitz +2
Like all software systems, the execution of deep learning models is dictated in part by logic represented as data in memory. For decades, attackers have exploited traditional softw…
AdvSPADE: Realistic Unrestricted Attacks for Semantic Segmentation
Guangyu Shen, Chengzhi Mao, Junfeng Yang +1
Due to the inherent robustness of segmentation models, traditional norm-bounded attack methods show limited effect on such type of models. In this paper, we focus on generating unr…
Metric Learning for Adversarial Robustness
Chengzhi Mao, Ziyuan Zhong, Junfeng Yang +2
Deep networks are well-known to be fragile to adversarial attacks. We conduct an empirical analysis of deep representations under the state-of-the-art attack method called PGD, and…