IAM

26thAUGUST2019

READING

Xiaoyu Cao, Neil Zhenqiang Gong. Mitigating Evasion Attacks to Deep Neural Networks via Region-based Classification. ACSAC, 2017

Cao and Gong introduce region-based classification as defense against adversarial examples. In particular, given an input (benign test input or adversarial example), the method samples random point in the neighborhood and classifies the test sample according to the majority vote of the obtained labels.

Also find this summary on ShortScience.org.

What is your opinion on the summarized work? Or do you know related work that is of interest? Let me know your thoughts in the comments below: