Universal Decision-Based Black-Box Perturbations: Breaking Security-Through-Obscurity Defenses

9 November 2018

Papers citing "Universal Decision-Based Black-Box Perturbations: Breaking Security-Through-Obscurity Defenses"

4 / 4 papers shown

Title
On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting Method Pu Zhao Sijia Liu Pin-Yu Chen Nghia Hoang Kaidi Xu B. Kailkhura Xue Lin AAML 32 54 0 26 Jul 2019
Generative Counterfactual Introspection for Explainable Deep Learning Shusen Liu B. Kailkhura Donald Loveland Yong Han 25 90 0 06 Jul 2019
Reliable and Explainable Machine Learning Methods for Accelerated Material Discovery B. Kailkhura Brian Gallagher Sookyung Kim A. Hiszpanski T. Y. Han 19 153 0 05 Jan 2019
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 332 5,849 0 08 Jul 2016