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
  ☆75Updated last year
• psandovalsegura / autoregressive-poisoning
  Code for the paper "Autoregressive Perturbations for Data Poisoning" (NeurIPS 2022)
  ☆20Updated last year
• Alexkael / Randomized-Adversarial-Training
  ☆31Updated last year
• renjie3 / TUE
  Code for Transferable Unlearnable Examples
  ☆23Updated 2 years ago
• RU-System-Software-and-Security / FeatureRE
  ☆27Updated 3 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
• jiaxiaojunQAQ / FGSM-PGI
  Code for Prior-Guided Adversarial Initialization for Fast Adversarial Training (ECCV2022)
  ☆28Updated 3 years ago
• 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…
  ☆46Updated 3 years ago
• jinghuichen / AWM
  Github repo for One-shot Neural Backdoor Erasing via Adversarial Weight Masking (NeurIPS 2022)
  ☆15Updated 2 years ago
• Unispac / Circumventing-Backdoor-Defenses
  Code Repository for the Paper ---Revisiting the Assumption of Latent Separability for Backdoor Defenses (ICLR 2023)
  ☆46Updated 2 years ago
• lhfowl / adversarial_poisons
  ☆54Updated 4 years ago
• ZhengyuZhao / TransferAttackEval
  Revisiting Transferable Adversarial Images (TPAMI 2025)
  ☆139Updated 3 months ago
• ZhengyuZhao / Targeted-Transfer
  Simple yet effective targeted transferable attack (NeurIPS 2021)
  ☆51Updated 3 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
• Alan-Qin / Transfer_attack_RAP
  Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)
  ☆33Updated 3 years ago
• val-iisc / NuAT
  Towards Efficient and Effective Adversarial Training, NeurIPS 2021
  ☆17Updated 3 years ago
• HanxunH / CognitiveDistillation
  [ICLR2023] Distilling Cognitive Backdoor Patterns within an Image
  ☆36Updated 2 months ago
• SCLBD / DBD
  ☆32Updated 3 years ago
• jiawangbai / BadCLIP
  Implementation of BadCLIP https://arxiv.org/pdf/2311.16194.pdf
  ☆23Updated last year
• sanjaykariyappa / MAZE
  Implementation of the paper "MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation".
  ☆31Updated 4 years ago
• wanlunsec / Beatrix
  ☆27Updated 2 years ago
• JinyiW / GuidedDiffusionPur
  ☆60Updated 2 years ago
• AISafety-HKUST / Backdoor_Safety_Tuning
  Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)
  ☆27Updated last year
• jinyuan-jia / BadEncoder
  ☆84Updated 4 years ago
• SCLBD / BlackboxBench
  ☆126Updated 3 months ago
• bboylyg / ABL
  Anti-Backdoor learning (NeurIPS 2021)
  ☆83Updated 2 years ago
• RU-System-Software-and-Security / BppAttack
  ☆20Updated 3 years ago
• SCccc21 / Knowledge-Enriched-DMI
  ☆45Updated 2 years ago
• JunfengGo / SCALE-UP
  ☆26Updated last year
• csdongxian / ANP_backdoor
  Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"
  ☆60Updated 2 years ago