16 citations · 19 across the 3 of their papers we have counts for
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cs.NE2019★ 16 cited
Scratch that! An Evolution-based Adversarial Attack against Neural Networks
Malhar Jere, Loris Rossi, Briland Hitaj +3
We study black-box adversarial attacks for image classifiers in a constrained threat model, where adversaries can only modify a small fraction of pixels in the form of scratches on…
cs.SE2019★ 3 cited
ct-fuzz: Fuzzing for Timing Leaks
Shaobo He, Michael Emmi, Gabriela Ciocarlie
Testing-based methodologies like fuzzing are able to analyze complex software which is not amenable to traditional formal approaches like verification, model checking, and abstract…