2021
Adversarial Learning via Probabilistic Proximity Analysis
ICASSP 2021accepted
We consider the problem of designing a robust classifier in the presence of an adversary who aims to degrade classification performance by elaborately falsifying the test instance. We propose a model-agnostic defense approach wherein the true class label of the falsified instance is inferred by anal…