most citedStochastic Tverberg theorems and their applications in multi-class logistic regression, data separability, and centerpoints of data

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cs.LG2018★ 1 cited

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

Thomas A. Hogan, Bhavya Kailkhura

We study the problem of finding a universal (image-agnostic) perturbation to fool machine learning (ML) classifiers (e.g., neural nets, decision tress) in the hard-label black-box…