Alternatives and similar repositories for FSBA

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

• TLMichael / Delusive-Adversary
  [NeurIPS 2021] Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training
  ☆32Updated 3 years ago
• Ekko-zn / IJCAI2022-Backdoor
  ☆19Updated 3 years ago
• RU-System-Software-and-Security / UNICORN
  ☆15Updated 2 years ago
• ShawnXYang / AccumulativeAttack
  ☆19Updated 4 years ago
• kenny-co / sgd-uap-torch
  Universal Adversarial Perturbations (UAPs) for PyTorch
  ☆49Updated 4 years ago
• alevine0 / DPA
  Code for the paper "Deep Partition Aggregation: Provable Defenses against General Poisoning Attacks"
  ☆13Updated 3 years ago
• whj363636 / Self-Ensemble-Adversarial-Training
  SEAT
  ☆21Updated 2 years ago
• xpf / Data-Efficient-Backdoor-Attacks
  Data-Efficient Backdoor Attacks
  ☆18Updated 3 years ago
• cleverhans-lab / dataset-inference
  [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning
  ☆32Updated 3 years ago
• sunbelbd / invisible_backdoor_attacks
  ☆19Updated 3 years ago
• TDteach / Demon-in-the-Variant
  ☆13Updated 4 years ago
• HanxunH / CognitiveDistillation
  [ICLR2023] Distilling Cognitive Backdoor Patterns within an Image
  ☆36Updated last month
• Alan-Qin / Transfer_attack_RAP
  Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)
  ☆33Updated 2 years ago
• cassidylaidlaw / ReColorAdv
  ReColorAdv and other attacks from the NeurIPS 2019 paper "Functional Adversarial Attacks"
  ☆38Updated 3 years ago
• WenRuiUSTC / EntF
  PyTorch implementation of our ICLR 2023 paper titled "Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning?".
  ☆12Updated 2 years ago
• VITA-Group / Backdoor-LTH
  [CVPR 2022] "Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free" by Tianlong Chen*, Zhenyu Zhang*, Yihua Zhang*, Shiyu C…
  ☆27Updated 3 years ago
• AI-secure / Robustness-Against-Backdoor-Attacks
  RAB: Provable Robustness Against Backdoor Attacks
  ☆39Updated 2 years ago
• PurduePAML / Exray
  ☆12Updated 3 years ago
• jiaxiaojunQAQ / FGSM-SDI
  Code for Boosting fast adversarial training with learnable adversarial initialization (TIP2022)
  ☆29Updated 2 years ago
• jinghuichen / AWM
  Github repo for One-shot Neural Backdoor Erasing via Adversarial Weight Masking (NeurIPS 2022)
  ☆15Updated 2 years ago
• zhuchen03 / ConvexPolytopePosioning
  ConvexPolytopePosioning
  ☆37Updated 5 years ago
• RU-System-Software-and-Security / NONE
  ☆11Updated 3 years ago
• v-wangg / OrthogonalPGD
  ☆22Updated 4 years ago
• dongyp13 / memorization-AT
  ☆21Updated 3 years ago
• bymavis / CAS_ICLR2021
  ☆58Updated 3 years ago
• qizhangli / MoreBayesian-attack
  Code for our ICLR 2023 paper Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples.
  ☆18Updated 2 years ago
• rkteddy / channel-Lipschitzness-based-pruning
  Source code for ECCV 2022 Poster: Data-free Backdoor Removal based on Channel Lipschitzness
  ☆34Updated 2 years ago
• THUYimingLi / Open-sourced_Dataset_Protection
  This is the implementation of our paper 'Open-sourced Dataset Protection via Backdoor Watermarking', accepted by the NeurIPS Workshop on …
  ☆22Updated 4 years ago
• DreamtaleCore / Refool
  ☆50Updated last year
• TemporaryAcc0unt / composite-attack
  ☆22Updated 5 years ago