This project investigates adversarial robustness in deep image classifiers, primarily attacking a pretrained ResNet-34 on a 100-class ImageNet subset.
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Updated
May 14, 2025 - Jupyter Notebook
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patch-pgd
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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
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Updated
May 22, 2025 - Jupyter Notebook
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