Alternatives and similar repositories for Adversarial-Attacks:

Users that are interested in Adversarial-Attacks are comparing it to the libraries listed below

• JHL-HUST / SI-NI-FGSM
  ☆70Updated 3 years ago
• jpzhang1810 / NAA
  Official Tensorflow implementation for "Improving Adversarial Transferability via Neuron Attribution-based Attacks" (CVPR 2022)
  ☆34Updated last year
• FenHua / Adversarial-Examples
  AdvAttacks; adversarial examples; FGSM;JSMA;CW;single pixel attack; local search attack;deepfool
  ☆55Updated 5 years ago
• Jeffkang-94 / pytorch-adversarial-attack
  Implementation of gradient-based adversarial attack(FGSM,MI-FGSM,PGD)
  ☆83Updated 3 years ago
• JHL-HUST / VT
  Enhancing the Transferability of Adversarial Attacks through Variance Tuning
  ☆85Updated 11 months ago
• inspire-group / PatchCleanser
  Code for "PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier"
  ☆37Updated last year
• JHL-HUST / SVRE
  Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability
  ☆24Updated 2 years ago
• A-LinCui / Adversarial_Patch_Attack
  Pytorch implementation of Adversarial Patch on ImageNet (arXiv: https://arxiv.org/abs/1712.09665)
  ☆57Updated 4 years ago
• ylhz / tf_to_pytorch_model
  Convert tensorflow model to pytorch model via [MMdnn](https://github.com/microsoft/MMdnn) for adversarial attacks.
  ☆84Updated 2 years ago
• ZhengyuZhao / Targeted-Transfer
  Simple yet effective targeted transferable attack (NeurIPS 2021)
  ☆48Updated 2 years ago
• xiaosen-wang / Adversarial-Examples-Paper
  Paper list of Adversarial Examples
  ☆45Updated last year
• thu-ml / Prior-Guided-RGF
  ☆40Updated last year
• AdelaideAuto-IDLab / Februus
  Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems
  ☆27Updated 3 years ago
• YiZeng623 / frequency-backdoor
  ICCV 2021, We find most existing triggers of backdoor attacks in deep learning contain severe artifacts in the frequency domain. This Rep…
  ☆43Updated 2 years ago
• aldahdooh / detectors_review
  ☆50Updated 3 years ago
• stevetkjan / Digital2Physical
  ☆13Updated 4 years ago
• jpzhang1810 / TGR
  Official Pytorch implementation for "Transferable Adversarial Attacks on Vision Transformers with Token Gradient Regularization" (CVPR 20…
  ☆25Updated last year
• ermongroup / ODS
  Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"
  ☆53Updated 4 years ago
• hsouri / Sleeper-Agent
  ☆65Updated last year
• hanwei0912 / Adversarial-Reading
  Paper sharing in adversary related works
  ☆45Updated this week
• Jianbo-Lab / HSJA
  ☆83Updated 4 years ago
• wagner-group / reap-benchmark
  REAP: A Large-Scale Realistic Adversarial Patch Benchmark
  ☆24Updated last year
• Harry24k / PGD-pytorch
  A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"
  ☆150Updated 5 years ago
• hcguoO0 / FIA
  code for "Feature Importance-aware Transferable Adversarial Attacks"
  ☆80Updated 2 years ago
• JHL-HUST / Admix
  ☆34Updated 11 months ago
• bymavis / CAS_ICLR2021
  ☆57Updated 2 years ago
• YiZeng623 / I-BAU
  Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''
  ☆54Updated 2 years ago
• OwenSec / DeepDetector
  an efficient method for detecting adversarial image examples
  ☆18Updated 6 years ago
• YisenWang / MART
  Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"
  ☆144Updated 4 years ago
• Kaminyou / PGD-Implemented-Adversarial-attack-on-CIFAR10
  An example code of implement of PGD and FGSM algorithm for adversarial attack
  ☆14Updated 2 years ago