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  1. Pytorch implementation of convolutional neural network visualization techniques

    Python 6.7k 1.4k

  2. Code and some materials from the papers "Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks" (BMVC 2021) and "Evaluating Adversarial Attacks on ImageNet:A Realit…

    Python 9

  3. Some custom dataset examples for PyTorch

    Python 793 114

  4. Pre-trained model, code, and materials from the paper "Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation" (MICCAI 2019).

    Python 52 6

  5. Pytorch implementation of convolutional neural network adversarial attack techniques

    Python 327 56

  6. Code and materials for the paper "Regional Image Perturbation Reduces Lp Norms of Adversarial Examples While Maintaining Model-to-model Transferability" (ICML 2020, UDL).

    Python 5 1

73 contributions in the last year

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Contribution activity

June 2022

3 contributions in private repositories Jun 4 – Jun 13