jasjeetIM / AdversarialDetector

Robust white-box detector for adversarial samples against deep learning

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AdversarialDetector

This repository contains experiments (and related code) for the paper 'Gradient Similarity: An Explainable Approach to Detect Adversarial Attacks against Deep Learning'. We create a gradient based white-box detector of adversarial samples for MNIST, DREBIN, CIFAR2 datasets.

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Robust white-box detector for adversarial samples against deep learning


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