Alternatives and similar repositories for rethinking-backdoor-attacks

Users that are interested in rethinking-backdoor-attacks are comparing it to the libraries listed below

• ethz-spylab / realistic-adv-examples
  Code for the paper "Evading Black-box Classifiers Without Breaking Eggs" [SaTML 2024]
  ☆21Updated 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 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"
  ☆20Updated 2 years ago
• MadryLab / failure-directions
  Distilling Model Failures as Directions in Latent Space
  ☆47Updated 2 years ago
• harshays / inputgradients
  Do input gradients highlight discriminative features? [NeurIPS 2021] (https://arxiv.org/abs/2102.12781)
  ☆13Updated 2 years ago
• tml-epfl / adv-training-corruptions
  On the effectiveness of adversarial training against common corruptions [UAI 2022]
  ☆30Updated 3 years ago
• davidstutz / confidence-calibrated-adversarial-training
  Implementation of Confidence-Calibrated Adversarial Training (CCAT).
  ☆45Updated 5 years ago
• tml-epfl / sharpness-vs-generalization
  A modern look at the relationship between sharpness and generalization [ICML 2023]
  ☆43Updated 2 years ago
• dedeswim / vits-robustness-torch
  Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]
  ☆53Updated 2 years ago
• yangarbiter / rare-spurious-correlation
  Understanding Rare Spurious Correlations in Neural Network
  ☆12Updated 3 years ago
• JonasGeiping / dataaugs
  ☆18Updated 3 years ago
• ejones313 / auditing-llms
  ☆58Updated 2 years ago
• zleizzo / datadeletion
  ☆14Updated 5 years ago
• BrachioLab / adversarial_prompting
  ☆53Updated 2 years ago
• MadryLab / pretraining-distribution-shift-robustness
  ☆14Updated last year
• mueller-mp / SAM-ON
  ☆34Updated last year
• kaiwenzha / contrastive-poisoning
  [ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning
  ☆31Updated last year
• cassidylaidlaw / perceptual-advex
  Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".
  ☆56Updated 3 years ago
• eth-sri / smoothing-ensembles
  [ICLR 2022] Boosting Randomized Smoothing with Variance Reduced Classifiers
  ☆12Updated 3 years ago
• Vaidehi99 / InfoDeletionAttacks
  ☆46Updated 8 months ago
• locuslab / acr-memorization
  ☆37Updated 10 months ago
• MadryLab / datamodels-data
  Data for "Datamodels: Predicting Predictions with Training Data"
  ☆97Updated 2 years ago
• MadryLab / datamodels
  ☆30Updated 2 years ago
• YuYang0901 / EPIC
  Not All Poisons are Created Equal: Robust Training against Data Poisoning (ICML 2022)
  ☆20Updated 3 years ago
• thestephencasper / latent_adversarial_training
  ☆23Updated last year
• YuxinWenRick / canary-in-a-coalmine
  ☆32Updated last year
• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆59Updated 2 years ago
• imrahulr / hat
  Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off
  ☆33Updated 3 years ago
• MadryLab / smoothed-vit
  Certified Patch Robustness via Smoothed Vision Transformers
  ☆42Updated 3 years ago
• hsouri / GDP
  Generating Potent Poisons and Backdoors from Scratch with Guided Diffusion
  ☆11Updated last year