Alternatives and similar repositories for adaptive-auto-attack

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

• pralab / Fast-Minimum-Norm-FMN-Attack
  Foolbox implementation for NeurIPS 2021 Paper: "Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints".
  ☆25Updated 3 years ago
• fra31 / evaluating-adaptive-test-time-defenses
  ☆22Updated last year
• VITA-Group / Alleviate-Robust-Overfitting
  [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…
  ☆46Updated 3 years ago
• zjfheart / Geometry-aware-Instance-reweighted-Adversarial-Training
  the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral
  ☆59Updated 4 years ago
• DequanWang / dent
  Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks
  ☆38Updated 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
• Ping-C / certifiedpatchdefense
  Repository for Certified Defenses for Adversarial Patch ICLR-2020
  ☆32Updated 4 years ago
• qizhangli / linbp-attack
  Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.
  ☆42Updated 2 years ago
• ermongroup / ODS
  Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"
  ☆53Updated 4 years ago
• dvlab-research / LBGAT
  Learnable Boundary Guided Adversarial Training (ICCV2021)
  ☆38Updated 5 months ago
• wielandbrendel / adaptive_attacks_paper
  Code for "On Adaptive Attacks to Adversarial Example Defenses"
  ☆87Updated 4 years ago
• cleverhans-lab / dataset-inference
  [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning
  ☆32Updated 2 years ago
• ZiangYan / pda.pytorch
  Implementation of our ICLR 2021 paper: Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples.
  ☆12Updated 4 years ago
• MadryLab / backdoor_data_poisoning
  ☆25Updated 6 years ago
• pralab / ImageNet-Patch
  ☆40Updated last year
• kenny-co / sgd-uap-torch
  Universal Adversarial Perturbations (UAPs) for PyTorch
  ☆48Updated 3 years ago
• AI-secure / Transferability-Reduced-Smooth-Ensemble
  ☆22Updated 3 years ago
• Equationliu / GA-Attack
  SaTML 2023, 1st place in CVPR’21 Security AI Challenger: Unrestricted Adversarial Attacks on ImageNet.
  ☆25Updated 2 years ago
• fra31 / sparse-rs
  Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks
  ☆45Updated 3 years ago
• fra31 / sparse-imperceivable-attacks
  Sparse and Imperceivable Adversarial Attacks (accepted to ICCV 2019).
  ☆40Updated 4 years ago
• hsouri / Sleeper-Agent
  ☆65Updated last year
• Harry24k / adversarial-defenses-pytorch
  PyTorch implementations of Adversarial defenses and utils.
  ☆34Updated last year
• Jianbo-Lab / HSJA
  ☆85Updated 4 years ago
• watml / fast-wasserstein-adversarial
  Implementation of Wasserstein adversarial attacks.
  ☆23Updated 4 years ago
• inspire-group / PatchGuard
  Code for paper "PatchGuard: A Provably Robust Defense against Adversarial Patches via Small Receptive Fields and Masking"
  ☆68Updated 2 years ago
• dongyp13 / memorization-AT
  ☆21Updated 3 years ago
• dongyp13 / Adversarial-Distributional-Training
  Adversarial Distributional Training (NeurIPS 2020)
  ☆63Updated 4 years ago
• BrachioLab / adversarial_prompting
  ☆53Updated last year
• machanic / SimulatorAttack
  The official implementation of CVPR 2021 paper "Simulating Unknown Target Models for Query-Efficient Black-box Attacks"
  ☆58Updated 3 years ago
• shizhouxing / Fast-Certified-Robust-Training
  [NeurIPS 2021] Fast Certified Robust Training with Short Warmup
  ☆24Updated last year