Alternatives and similar repositories for AdvXL:

Users that are interested in AdvXL are comparing it to the libraries listed below

• inspire-group / proxy-distributions
  [ICLR 2022 official code] Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?
  ☆29Updated 3 years ago
• imrahulr / hat
  Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off
  ☆29Updated 2 years ago
• dedeswim / vits-robustness-torch
  Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]
  ☆52Updated 2 years ago
• nmndeep / revisiting-at
  [NeurIPS 2023] Code for the paper "Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threa…
  ☆38Updated 4 months ago
• LijieFan / AdvCL
  [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”
  ☆48Updated 3 years ago
• val-iisc / GAMA-GAT
  Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses, NeurIPS Spotlight 2020
  ☆27Updated 4 years ago
• Muzammal-Naseer / ATViT
  Official repository for "On Improving Adversarial Transferability of Vision Transformers" (ICLR 2022--Spotlight)
  ☆72Updated 2 years ago
• cvlab-columbia / ZSRobust4FoundationModel
  ☆41Updated last year
• P2333 / SCORE
  A Self-Consistent Robust Error (ICML 2022)
  ☆67Updated last year
• goldblum / AdversariallyRobustDistillation
  Pytorch implementation of Adversarially Robust Distillation (ARD)
  ☆59Updated 5 years ago
• amazon-science / normalizer-free-robust-training
  Official implementation of "Removing Batch Normalization Boosts Adversarial Training" (ICML'22)
  ☆19Updated 2 years ago
• psandovalsegura / autoregressive-poisoning
  Code for the paper "Autoregressive Perturbations for Data Poisoning" (NeurIPS 2022)
  ☆20Updated 7 months ago
• RulinShao / on-the-adversarial-robustness-of-visual-transformer
  Code for the paper "On the Adversarial Robustness of Visual Transformers"
  ☆56Updated 3 years ago
• ethz-spylab / diffusion_denoised_smoothing
  Certified robustness "for free" using off-the-shelf diffusion models and classifiers
  ☆40Updated last year
• mo666666 / When-Adversarial-Training-Meets-Vision-Transformers
  Official implementation of "When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture" published at Neur…
  ☆33Updated 6 months ago
• ChaojianYu / Understanding-Robust-Overfitting
  Implementation for <Understanding Robust Overftting of Adversarial Training and Beyond> in ICML'22.
  ☆12Updated 2 years ago
• zjfheart / Geometry-aware-Instance-reweighted-Adversarial-Training
  the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral
  ☆59Updated 4 years ago
• OODRobustBench / OODRobustBench
  OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift. ICML 2024 and ICLRW-DMLR 2024
  ☆20Updated 8 months ago
• ShawnXYang / C-GSP
  ☆13Updated 2 years ago
• Muzammal-Naseer / TTP
  Official repository for "On Generating Transferable Targeted Perturbations" (ICCV 2021)
  ☆61Updated 2 years ago
• SCLBD / Transfer_attack_RAP
  ☆34Updated 2 years ago
• point0bar1 / ebm-defense
  PyTorch implementation of BPDA+EOT attack to evaluate adversarial defense with an EBM
  ☆24Updated 4 years ago
• Muzammal-Naseer / CDA
  Official repository for "Cross-Domain Transferability of Adversarial Perturbations" (NeurIPS 2019)
  ☆60Updated 3 years ago
• UniSerj / Random-Projection-Filters
  [CVPR 2023] Adversarial Robustness via Random Projection Filters
  ☆13Updated last year
• pdejorge / N-FGSM
  Official repo for the paper "Make Some Noise: Reliable and Efficient Single-Step Adversarial Training" (https://arxiv.org/abs/2202.01181)
  ☆25Updated 2 years ago
• VITA-Group / Shake-to-Leak
  ☆14Updated 3 weeks ago
• NYU-DICE-Lab / circumventing-concept-erasure
  ☆19Updated last year
• imrahulr / adversarial_robustness_pytorch
  Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples…
  ☆95Updated 3 years ago
• fra31 / robust-finetuning
  Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"
  ☆18Updated 2 years ago
• whj363636 / Self-Ensemble-Adversarial-Training
  SEAT
  ☆20Updated last year