patch-pgd

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Spandan-2002 / Jailbreaking-Deep-Models

This project investigates adversarial robustness in deep image classifiers, primarily attacking a pretrained ResNet-34 on a 100-class ImageNet subset.

machine-learning deep-learning resnet-34 pgd-adversarial-attacks fgsm-attack patch-pgd

Updated May 14, 2025
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AshhAgrawal / Deep-Learning-Adversarial-Attacks-on-ResNet-34

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Implementation and evaluation for Deep Learning Project 3 (Spring 2025, NYU Tandon). We attack a pretrained ResNet-34 model using ℓ∞-bounded adversarial perturbations, including FGSM, PGD, Momentum PGD, and Patch PGD, and assess transferability to DenseNet-121.

machine-learning jupyter-notebook deeplearning nyu fgsm resnet-34 pgd-adversarial-attacks fgsm-attack patch-pgd densene

Updated May 22, 2025
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