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    • PyTorch implementation of Expectation over Transformation
      Jupyter Notebook
      01310Updated Jul 18, 2025Jul 18, 2025
    • accepted at ICMLw '24
      Python
      0100Updated May 20, 2025May 20, 2025
    • OpenOOD

      Public
      Benchmarking Generalized Out-of-Distribution Detection
      Python
      153000Updated Mar 25, 2025Mar 25, 2025
    • I-FSJ

      Public
      Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses (NeurIPS 2024)
      Jupyter Notebook
      10000Updated Jan 11, 2025Jan 11, 2025
    • 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
      1000Updated Aug 4, 2024Aug 4, 2024
    • A compact toolbox for backdoor attacks and defenses.
      Python
      23000Updated Jul 16, 2024Jul 16, 2024
    • foolbox

      Public
      A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
      Python
      433000Updated Apr 3, 2024Apr 3, 2024
    • vim

      Public
      Official repository for CVPR2022 publication, ViM: Out-Of-Distribution with Virtual-logit Matching
      Python
      13000Updated Mar 19, 2024Mar 19, 2024
    • RGD

      Public
      Python
      1000Updated Jan 7, 2024Jan 7, 2024
    • An unrestricted attack based on diffusion models that can achieve both good transferability and imperceptibility.
      Python
      16000Updated Nov 30, 2023Nov 30, 2023
    • Python
      18100Updated Nov 12, 2023Nov 12, 2023
    • Jupyter Notebook
      1000Updated Nov 8, 2023Nov 8, 2023
    • multiLID

      Public
      Jupyter Notebook
      0200Updated Nov 4, 2023Nov 4, 2023
    • Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"
      Python
      120100Updated Oct 13, 2023Oct 13, 2023
    • Python
      0100Updated Oct 9, 2023Oct 9, 2023
    • Python
      4000Updated 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
      35000Updated Jul 28, 2023Jul 28, 2023
    • Python
      4000Updated Jul 8, 2023Jul 8, 2023
    • fast-DiT

      Public
      Improved PyTorch Implementation of "Scalable Diffusion Models with Transformers"
      Python
      114000Updated Jun 12, 2023Jun 12, 2023
    • Implementation of Denoising Diffusion Probabilistic Model in Pytorch
      Python
      1.2k000Updated Mar 29, 2023Mar 29, 2023
    • Visual Prompting for Adversarial Robustness
      Python
      4200Updated Jan 21, 2023Jan 21, 2023
    • Convert tensorflow model to pytorch model via [MMdnn](https://github.com/microsoft/MMdnn) for adversarial attacks.
      Python
      9000Updated Dec 1, 2022Dec 1, 2022
    • Implementing the Denoising Diffusion Probabilistic Model in Flax
      Jupyter Notebook
      26000Updated Nov 1, 2022Nov 1, 2022
    • Unofficial PyTorch implementation of Denoising Diffusion Probabilistic Models
      Python
      76000Updated Oct 12, 2022Oct 12, 2022
    • Python
      2000Updated Sep 16, 2022Sep 16, 2022
    • cutmix

      Public
      a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.
      Python
      29000Updated Sep 6, 2022Sep 6, 2022
    • PyTorch implementation of adversarial attacks.
      Python
      364000Updated Jul 17, 2022Jul 17, 2022
    • A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.
      Jupyter Notebook
      182000Updated Jul 10, 2022Jul 10, 2022
    • Exploring Visual Prompts for Adapting Large-Scale Models
      Python
      33000Updated Jun 15, 2022Jun 15, 2022
    • Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness?
      Python
      31110Updated May 12, 2022May 12, 2022