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cs.LG2020
An Empirical Study of Derivative-Free-Optimization Algorithms for Targeted Black-Box Attacks in Deep Neural Networks
Giuseppe Ughi, Vinayak Abrol, Jared Tanner
We perform a comprehensive study on the performance of derivative free optimization (DFO) algorithms for the generation of targeted black-box adversarial attacks on Deep Neural Net…
cs.LG2020
A Model-Based Derivative-Free Approach to Black-Box Adversarial Examples: BOBYQA
Giuseppe Ughi, Vinayak Abrol, Jared Tanner
We demonstrate that model-based derivative free optimisation algorithms can generate adversarial targeted misclassification of deep networks using fewer network queries than non-mo…