Alternatives and similar repositories for robust-unlearnable-examples

Users that are interested in robust-unlearnable-examples are comparing it to the libraries listed below

• psandovalsegura / autoregressive-poisoning
  Code for the paper "Autoregressive Perturbations for Data Poisoning" (NeurIPS 2022)
  ☆20Updated last year
• renjie3 / TUE
  Code for Transferable Unlearnable Examples
  ☆22Updated 2 years ago
• KuofengGao / ASD
  [CVPR 2023] Backdoor Defense via Adaptively Splitting Poisoned Dataset
  ☆49Updated last year
• qizhangli / MoreBayesian-attack
  Code for our ICLR 2023 paper Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples.
  ☆18Updated 2 years ago
• jinghuichen / AWM
  Github repo for One-shot Neural Backdoor Erasing via Adversarial Weight Masking (NeurIPS 2022)
  ☆15Updated 3 years ago
• lafeat / apbench
  APBench: A Unified Availability Poisoning Attack and Defenses Benchmark (TMLR 08/2024)
  ☆46Updated 9 months ago
• Alan-Qin / Transfer_attack_RAP
  Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)
  ☆33Updated 3 years ago
• lhfowl / adversarial_poisons
  ☆54Updated 4 years ago
• jiawangbai / BadCLIP
  Implementation of BadCLIP https://arxiv.org/pdf/2311.16194.pdf
  ☆23Updated last year
• jiamingzhang94 / Unlearnable-Clusters
  CVPR2023: Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples
  ☆22Updated 2 years ago
• liuzrcc / ImageShortcutSqueezing
  Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression
  ☆14Updated 10 months ago
• zhipeng-wei / PNA-PatchOut
  ☆37Updated last year
• JindongGu / Awesome_Adversarial_Transferability
  A curated list of papers for the transferability of adversarial examples
  ☆76Updated last year
• kai-wen-yang / CD-VAE
  [NeurIPS 2021] "Class-Disentanglement and Applications in Adversarial Detection and Defense"
  ☆46Updated 4 years ago
• kaiwenzha / contrastive-poisoning
  [ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning
  ☆33Updated 2 years ago
• ZhengyuZhao / Targeted-Transfer
  Simple yet effective targeted transferable attack (NeurIPS 2021)
  ☆51Updated 3 years ago
• dayu11 / Availability-Attacks-Create-Shortcuts
  ☆10Updated 3 years ago
• jiaxiaojunQAQ / FGSM-SDI
  Code for Boosting fast adversarial training with learnable adversarial initialization (TIP2022)
  ☆29Updated 2 years ago
• Asteriajojo / M3D
  Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted Attacks(CVPR2023)
  ☆18Updated 2 years ago
• TLMichael / Delusive-Adversary
  [NeurIPS 2021] Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training
  ☆32Updated 4 years ago
• Alibaba-AAIG / Beyond-ImageNet-Attack
  Beyond imagenet attack (accepted by ICLR 2022) towards crafting adversarial examples for black-box domains.
  ☆61Updated 3 years ago
• jiaxiaojunQAQ / FGSM-PGI
  Code for Prior-Guided Adversarial Initialization for Fast Adversarial Training (ECCV2022)
  ☆28Updated 3 years ago
• JinyiW / GuidedDiffusionPur
  ☆61Updated 2 years ago
• whj363636 / Self-Ensemble-Adversarial-Training
  SEAT
  ☆21Updated 2 years ago
• cleverhans-lab / dataset-inference
  [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning
  ☆32Updated 3 years ago
• SCLBD / Transfer_attack_RAP
  ☆35Updated 3 years ago
• dongyp13 / memorization-AT
  ☆21Updated 3 years ago
• Muzammal-Naseer / ATViT
  Official repository for "On Improving Adversarial Transferability of Vision Transformers" (ICLR 2022--Spotlight)
  ☆73Updated 3 years ago
• Alexkael / Randomized-Adversarial-Training
  ☆31Updated last year
• Framartin / lgv-geometric-transferability
  Source of the ECCV22 paper "LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity"
  ☆18Updated 10 months ago