Alternatives and similar repositories for apbench

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

• JindongGu / Awesome_Adversarial_Transferability
  A curated list of papers for the transferability of adversarial examples
  ☆72Updated last year
• Alan-Qin / Transfer_attack_RAP
  Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)
  ☆33Updated 2 years ago
• jinghuichen / AWM
  Github repo for One-shot Neural Backdoor Erasing via Adversarial Weight Masking (NeurIPS 2022)
  ☆15Updated 2 years ago
• HanxunH / CognitiveDistillation
  [ICLR2023] Distilling Cognitive Backdoor Patterns within an Image
  ☆36Updated 3 weeks ago
• renjie3 / TUE
  Code for Transferable Unlearnable Examples
  ☆21Updated 2 years ago
• jiaxiaojunQAQ / FGSM-PGI
  Code for Prior-Guided Adversarial Initialization for Fast Adversarial Training (ECCV2022)
  ☆26Updated 2 years ago
• Alexkael / Randomized-Adversarial-Training
  ☆31Updated last year
• YiZeng623 / frequency-backdoor
  ICCV 2021, We find most existing triggers of backdoor attacks in deep learning contain severe artifacts in the frequency domain. This Rep…
  ☆45Updated 3 years ago
• ZhengyuZhao / Targeted-Transfer
  Simple yet effective targeted transferable attack (NeurIPS 2021)
  ☆51Updated 2 years ago
• CGCL-codes / TeCo
  [CVPR 2023] The official implementation of our CVPR 2023 paper "Detecting Backdoors During the Inference Stage Based on Corruption Robust…
  ☆23Updated 2 years ago
• psandovalsegura / autoregressive-poisoning
  Code for the paper "Autoregressive Perturbations for Data Poisoning" (NeurIPS 2022)
  ☆20Updated last year
• Unispac / Circumventing-Backdoor-Defenses
  Code Repository for the Paper ---Revisiting the Assumption of Latent Separability for Backdoor Defenses (ICLR 2023)
  ☆44Updated 2 years ago
• JinyiW / GuidedDiffusionPur
  ☆59Updated 2 years ago
• lhfowl / adversarial_poisons
  ☆54Updated 4 years ago
• RU-System-Software-and-Security / FeatureRE
  ☆27Updated 2 years ago
• ZhengyuZhao / TransferAttackEval
  Revisiting Transferable Adversarial Images (TPAMI 2025)
  ☆130Updated 3 weeks ago
• rkteddy / channel-Lipschitzness-based-pruning
  Source code for ECCV 2022 Poster: Data-free Backdoor Removal based on Channel Lipschitzness
  ☆34Updated 2 years ago
• meet-cjli / CTRL
  An Embarrassingly Simple Backdoor Attack on Self-supervised Learning
  ☆18Updated last year
• jinyuan-jia / BadEncoder
  ☆84Updated 4 years ago
• jiawangbai / BadCLIP
  Implementation of BadCLIP https://arxiv.org/pdf/2311.16194.pdf
  ☆21Updated last year
• serendipity1122 / Pre-trained-Model-Guided-Fine-Tuning-for-Zero-Shot-Adversarial-Robustness
  Code repository for CVPR2024 paper 《Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness》
  ☆21Updated last year
• SCLBD / Transfer_attack_RAP
  ☆35Updated 2 years ago
• uchicago-sandlab / naturalbackdoors
  Code for identifying natural backdoors in existing image datasets.
  ☆15Updated 3 years ago
• ZFancy / IAD
  [ICLR 2022] Reliable Adversarial Distillation with Unreliable Teachers
  ☆21Updated 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
• RU-System-Software-and-Security / BppAttack
  ☆21Updated 3 years ago
• AISafety-HKUST / Backdoor_Safety_Tuning
  Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)
  ☆26Updated 10 months ago
• kenny-co / sgd-uap-torch
  Universal Adversarial Perturbations (UAPs) for PyTorch
  ☆49Updated 4 years ago
• reds-lab / Meta-Sift
  The official implementation of USENIX Security'23 paper "Meta-Sift" -- Ten minutes or less to find a 1000-size or larger clean subset on …
  ☆19Updated 2 years ago
• YiZeng623 / I-BAU
  Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''
  ☆53Updated 2 years ago