Adversarial Risk and Robustness: General Definitions and Implications for the Uniform Distribution

NeurIPS 2018 Dimitrios I. DiochnosSaeed MahloujifarMohammad Mahmoody

We study adversarial perturbations when the instances are uniformly distributed over $\{0,1\}^n$. We study both "inherent" bounds that apply to any problem and any classifier for such a problem as well as bounds that apply to specific problems and specific hypothesis classes... (read more)

PDF Abstract

Code


No code implementations yet. Submit your code now

Tasks


Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.