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@adverML Adversarial Machine Learning

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    58 repositories

    • MALT

      Public
      MALT is a attack method utilizing pre-attack targeting method to speed up and improve the state of the art AutoAttack. Fully presented in the paper. the paper
      Python
      •1•0•0•0•Updated Aug 4, 2024Aug 4, 2024

    • AdvOpenOOD

      Public
      Python
      •
      MIT License
      •0•1•0•0•Updated Jun 24, 2024Jun 24, 2024

    • foolbox

      Public
      A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
      Python
      •
      MIT License
      •425•0•0•0•Updated Apr 3, 2024Apr 3, 2024

    • vim

      Public
      Official repository for CVPR2022 publication, ViM: Out-Of-Distribution with Virtual-logit Matching
      Python
      •
      Apache License 2.0
      •11•0•0•0•Updated Mar 19, 2024Mar 19, 2024

    • DiffAttack

      Public
      An unrestricted attack based on diffusion models that can achieve both good transferability and imperceptibility.
      Python
      •
      Apache License 2.0
      •13•0•0•0•Updated Nov 30, 2023Nov 30, 2023

    • BlackboxBench

      Public
      Python
      •
      Other
      •16•1•0•0•Updated Nov 12, 2023Nov 12, 2023

    • competence_estimation

      Public
      Jupyter Notebook
      •
      MIT License
      •1•0•0•0•Updated Nov 8, 2023Nov 8, 2023

    • multiLID

      Public
      Jupyter Notebook
      •0•2•0•0•Updated Nov 4, 2023Nov 4, 2023

    • auto-attack

      Public
      Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"
      Python
      •
      MIT License
      •112•1•0•0•Updated Oct 13, 2023Oct 13, 2023

    • SpectralDefense

      Public
      Python
      •0•1•0•0•Updated Oct 9, 2023Oct 9, 2023

    • GuidedDiffusionPur

      Public
      Python
      •3•0•0•0•Updated Aug 10, 2023Aug 10, 2023

    • DiffPure

      Public
      A new adversarial purification method that uses the forward and reverse processes of diffusion models to remove adversarial perturbations.
      Python
      •
      Other
      •32•0•0•0•Updated Jul 28, 2023Jul 28, 2023

    • AdversarialAttacks

      Public
      Python
      •2•0•0•0•Updated Jul 8, 2023Jul 8, 2023

    • fast-DiT

      Public
      Improved PyTorch Implementation of "Scalable Diffusion Models with Transformers"
      Python
      •
      Other
      •91•0•0•0•Updated Jun 12, 2023Jun 12, 2023

    • denoising-diffusion-pytorch

      Public
      Implementation of Denoising Diffusion Probabilistic Model in Pytorch
      Python
      •
      MIT License
      •1k•0•0•0•Updated Mar 29, 2023Mar 29, 2023

    • vp-for-adversarial-robustness

      Public
      Visual Prompting for Adversarial Robustness
      Python
      •4•2•0•0•Updated Jan 21, 2023Jan 21, 2023

    • tf_to_pytorch_model

      Public
      Convert tensorflow model to pytorch model via [MMdnn](https://github.com/microsoft/MMdnn) for adversarial attacks.
      Python
      •9•0•0•0•Updated Dec 1, 2022Dec 1, 2022

    • denoising-diffusion-flax

      Public
      Implementing the Denoising Diffusion Probabilistic Model in Flax
      Jupyter Notebook
      •
      Apache License 2.0
      •23•0•0•0•Updated Nov 1, 2022Nov 1, 2022

    • pytorch-ddpm-cifar10

      Public
      Unofficial PyTorch implementation of Denoising Diffusion Probabilistic Models
      Python
      •
      Do What The F*ck You Want To Public License
      •62•0•0•0•Updated Oct 12, 2022Oct 12, 2022

    • evaluating-adaptive-test-time-defenses

      Public
      Python
      •
      Apache License 2.0
      •1•0•0•0•Updated Sep 16, 2022Sep 16, 2022

    • cutmix

      Public
      a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.
      Python
      •
      MIT License
      •29•0•0•0•Updated Sep 6, 2022Sep 6, 2022

    • synthesizing_robust_adversarial

      Public
      PyTorch implementation of Expectation over Transformation
      Jupyter Notebook
      •
      MIT License
      •0•12•1•0•Updated Jul 22, 2022Jul 22, 2022

    • adversarialattackspytorch

      Public
      PyTorch implementation of adversarial attacks.
      Python
      •
      MIT License
      •350•0•0•0•Updated Jul 17, 2022Jul 17, 2022

    • robustness

      Public
      A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.
      Jupyter Notebook
      •
      MIT License
      •181•0•0•0•Updated Jul 10, 2022Jul 10, 2022

    • visual_prompting

      Public
      Exploring Visual Prompts for Adapting Large-Scale Models
      Python
      •
      MIT License
      •30•0•0•0•Updated Jun 15, 2022Jun 15, 2022

    • SpectralDef_Framework

      Public
      Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness?
      adversarial-examplesadversarial-defensedeep-learningpytorch
      Python
      •
      GNU Affero General Public License v3.0
      •3•11•1•0•Updated May 12, 2022May 12, 2022

    • TRADES

      Public
      TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)
      Python
      •
      MIT License
      •123•0•0•0•Updated May 4, 2022May 4, 2022

    • CLIP

      Public
      Contrastive Language-Image Pretraining
      Jupyter Notebook
      •
      MIT License
      •3.3k•0•0•0•Updated May 1, 2022May 1, 2022

    • robust-ood-detection

      Public
      Robust Out-of-distribution Detection in Neural Networks
      Python
      •
      Apache License 2.0
      •9•0•0•0•Updated Apr 12, 2022Apr 12, 2022

    • bib_adversarial_examples

      Public
      Literature collection of adversarial examples.
      MIT License
      •0•1•0•0•Updated Mar 28, 2022Mar 28, 2022