Towards verifying robustness of neural networks against a family of semantic perturbations

Towards verifying robustness of neural networks against a family of semantic perturbations

Verifying robustness of neural networks given a specified threat model is a fundamental yet challenging task. While current verification methods mainly focus on the p-norm threat model of the input instances, robustness verification against semantic adversarial attacks inducing large p-norm perturba...

Full description

Bibliographic Details
Main Authors: Mohapatra, Jeet, Weng, Tsui-Wei, Chen, Pin-Yu, Liu, Sijia, Daniel, Luca
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:English
Published: IEEE 2021
Online Access:https://hdl.handle.net/1721.1/130001

Internet

https://hdl.handle.net/1721.1/130001

Similar Items