Alternatives and similar repositories for adaptive-auto-attack

Users that are interested in adaptive-auto-attack are comparing it to the libraries listed below

• wielandbrendel / adaptive_attacks_paper
  Code for "On Adaptive Attacks to Adversarial Example Defenses"
  ☆86Updated 4 years ago
• ermongroup / ODS
  Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"
  ☆53Updated 4 years ago
• Ping-C / certifiedpatchdefense
  Repository for Certified Defenses for Adversarial Patch ICLR-2020
  ☆33Updated 4 years ago
• hsouri / Sleeper-Agent
  ☆66Updated last year
• pralab / Fast-Minimum-Norm-FMN-Attack
  Foolbox implementation for NeurIPS 2021 Paper: "Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints".
  ☆24Updated 3 years ago
• cassidylaidlaw / perceptual-advex
  Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".
  ☆55Updated 3 years ago
• JonasGeiping / poisoning-gradient-matching
  Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching
  ☆108Updated last year
• aks2203 / poisoning-benchmark
  A unified benchmark problem for data poisoning attacks
  ☆157Updated last year
• fra31 / evaluating-adaptive-test-time-defenses
  ☆23Updated last year
• Harry24k / adversarial-defenses-pytorch
  PyTorch implementations of Adversarial defenses and utils.
  ☆34Updated last year
• pralab / ImageNet-Patch
  ☆40Updated last year
• cake-lab / datafree-model-extraction
  CVPR 2021 Official repository for the Data-Free Model Extraction paper. https://arxiv.org/abs/2011.14779
  ☆72Updated last year
• Jianbo-Lab / HSJA
  ☆85Updated 4 years ago
• kenny-co / sgd-uap-torch
  Universal Adversarial Perturbations (UAPs) for PyTorch
  ☆48Updated 4 years ago
• superrrpotato / Defending-Neural-Backdoors-via-Generative-Distribution-Modeling
  The code is for our NeurIPS 2019 paper: https://arxiv.org/abs/1910.04749
  ☆34Updated 5 years ago
• zhuchen03 / ConvexPolytopePosioning
  ConvexPolytopePosioning
  ☆35Updated 5 years ago
• DequanWang / dent
  Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks
  ☆39Updated 4 years ago
• qizhangli / linbp-attack
  Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.
  ☆42Updated 2 years ago
• AI-secure / VeriGauge
  A united toolbox for running major robustness verification approaches for DNNs. [S&P 2023]
  ☆90Updated 2 years ago
• fra31 / sparse-imperceivable-attacks
  Sparse and Imperceivable Adversarial Attacks (accepted to ICCV 2019).
  ☆41Updated 4 years ago
• inspire-group / PatchGuard
  Code for paper "PatchGuard: A Provably Robust Defense against Adversarial Patches via Small Receptive Fields and Masking"
  ☆69Updated 3 years ago
• tml-epfl / understanding-fast-adv-training
  Understanding and Improving Fast Adversarial Training [NeurIPS 2020]
  ☆95Updated 3 years ago
• fra31 / sparse-rs
  Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks
  ☆45Updated 3 years ago
• cmhcbb / attackbox
  ☆60Updated 3 years ago
• wronnyhuang / metapoison
  Craft poisoned data using MetaPoison
  ☆53Updated 4 years ago
• YisenWang / MART
  Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"
  ☆151Updated 4 years ago
• zjfheart / Geometry-aware-Instance-reweighted-Adversarial-Training
  the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral
  ☆59Updated 4 years ago
• imrahulr / adversarial_robustness_pytorch
  Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples…
  ☆97Updated 3 years ago
• watml / fast-wasserstein-adversarial
  Implementation of Wasserstein adversarial attacks.
  ☆23Updated 4 years ago
• bymavis / CAS_ICLR2021
  ☆58Updated 3 years ago