Adversarial examples threaten the integrity of machine learning systems ...
Defending machine-learning (ML) models against white-box adversarial att...
Preprocessing and outlier detection techniques have both been applied to...
Out-of-distribution (OOD) detection plays a crucial role in ensuring the...
Detecting deepfakes is an important problem, but recent work has shown t...
We present DeClaW, a system for detecting, classifying, and warning of
a...
Adversaries are capable of adding perturbations to an image to fool mach...
We present Survival-OPT, a physical adversarial example algorithm in the...
A robot-assisted feeding system must successfully acquire many different...