Alternatives and similar repositories for awesome-AML

Users that are interested in awesome-AML are comparing it to the libraries listed below

• tao-bai / attack-and-defense-methods
  A curated list of papers on adversarial machine learning (adversarial examples and defense methods).
  ☆211Updated 3 years ago
• max-andr / square-attack
  Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]
  ☆169Updated 5 years ago
• wielandbrendel / adaptive_attacks_paper
  Code for "On Adaptive Attacks to Adversarial Example Defenses"
  ☆87Updated 4 years ago
• YisenWang / MART
  Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"
  ☆152Updated 5 years ago
• Harry24k / PGD-pytorch
  A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"
  ☆157Updated 6 years ago
• zjfheart / Friendly-Adversarial-Training
  Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)
  ☆126Updated 2 years ago
• Harry24k / CW-pytorch
  A pytorch implementation of "Towards Evaluating the Robustness of Neural Networks"
  ☆59Updated 6 years ago
• ndb796 / Pytorch-Adversarial-Training-CIFAR
  This repository provides simple PyTorch implementations for adversarial training methods on CIFAR-10.
  ☆170Updated 4 years ago
• HanxunH / Unlearnable-Examples
  [ICLR2021] Unlearnable Examples: Making Personal Data Unexploitable
  ☆171Updated last year
• kenny-co / sgd-uap-torch
  Universal Adversarial Perturbations (UAPs) for PyTorch
  ☆49Updated 4 years ago
• JinkaiZheng / awesome-adversarial-attack-and-defense-papers
  ☆63Updated 4 years ago
• cmhcbb / attackbox
  ☆62Updated 3 years ago
• ermongroup / ODS
  Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"
  ☆53Updated 4 years ago
• jeromerony / adversarial-library
  Library containing PyTorch implementations of various adversarial attacks and resources
  ☆165Updated 3 weeks ago
• Jianbo-Lab / HSJA
  ☆86Updated 4 years ago
• aks2203 / poisoning-benchmark
  A unified benchmark problem for data poisoning attacks
  ☆160Updated 2 years ago
• bboylyg / NAD
  This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks…
  ☆124Updated 3 years ago
• ashafahi / inceptionv3-transferLearn-poison
  Attacking a dog vs fish classification that uses transfer learning inceptionV3
  ☆71Updated 7 years ago
• dongyp13 / Adversarial-Distributional-Training
  Adversarial Distributional Training (NeurIPS 2020)
  ☆63Updated 4 years ago
• locuslab / fast_adversarial
  [ICLR 2020] A repository for extremely fast adversarial training using FGSM
  ☆448Updated last year
• ylsung / pytorch-adversarial-training
  PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.
  ☆253Updated 5 years ago
• Ping-C / certifiedpatchdefense
  Repository for Certified Defenses for Adversarial Patch ICLR-2020
  ☆34Updated 5 years ago
• locuslab / robust_overfitting
  ☆160Updated 4 years ago
• xiaosen-wang / Adversarial-Examples-Paper
  Paper list of Adversarial Examples
  ☆50Updated 2 years ago
• liuye6666 / adaptive_auto_attack
  Adversarial Robustness, White-box, Adversarial Attack
  ☆51Updated 3 years ago
• jiaxiaojunQAQ / LAS-AT
  Code for LAS-AT: Adversarial Training with Learnable Attack Strategy (CVPR2022)
  ☆117Updated 3 years ago
• phibenz / uap_virtual_data.pytorch
  ☆29Updated 4 years ago
• hsouri / Sleeper-Agent
  ☆67Updated last year
• cg563 / simple-blackbox-attack
  Code for ICML 2019 paper "Simple Black-box Adversarial Attacks"
  ☆199Updated 2 years ago
• tongwu2020 / phattacks
  Defending Against Physically Realizable Attacks on Image Classification
  ☆35Updated 3 years ago