Alternatives and similar repositories for AdversarialPruningBenchmark

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

• zihao-ai / Awesome-Backdoor-in-Deep-Learning
  A curated list of papers & resources on backdoor attacks and defenses in deep learning.
  ☆223Updated last year
• ndb796 / Pytorch-Adversarial-Training-CIFAR
  This repository provides simple PyTorch implementations for adversarial training methods on CIFAR-10.
  ☆172Updated 4 years ago
• kangliucn / Fine-pruning-defense
  Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)
  ☆48Updated 7 years ago
• tribhuvanesh / prediction-poisoning
  Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)
  ☆33Updated 5 years ago
• UMBCvision / Hidden-Trigger-Backdoor-Attacks
  Official Repository for the AAAI-20 paper "Hidden Trigger Backdoor Attacks"
  ☆132Updated 2 years ago
• tonggege001 / MyNeuralCleanse
  复现了下Neural Cleanse这篇论文，真的是简单而有效，发在了okaland
  ☆32Updated 4 years ago
• WangLab2021 / AI-Security
  ☆12Updated this week
• xuxiong0214 / BTIDBF
  ☆15Updated last year
• VinAIResearch / Warping-based_Backdoor_Attack-release
  WaNet - Imperceptible Warping-based Backdoor Attack (ICLR 2021)
  ☆129Updated last year
• sanjaykariyappa / MAZE
  Implementation of the paper "MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation".
  ☆31Updated 3 years ago
• SCLBD / BackdoorBench
  ☆560Updated 4 months ago
• yyl-github-1896 / QAA
  This is the official code repository for paper "Quantization Aware Attack: Enhancing Transferable Adversarial Attacks by Model Quantizati…
  ☆14Updated 2 months ago
• yuezunli / ISSBA
  Invisible Backdoor Attack with Sample-Specific Triggers
  ☆102Updated 3 years ago
• bboylyg / NAD
  This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks…
  ☆124Updated 3 years ago
• Unispac / Subnet-Replacement-Attack
  Official implementation of (CVPR 2022 Oral) Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks.
  ☆25Updated 4 months ago
• pralab / Fast-Minimum-Norm-FMN-Attack
  Foolbox implementation for NeurIPS 2021 Paper: "Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints".
  ☆24Updated 3 years ago
• ffhibnese / Model-Inversion-Attack-ToolBox
  A comprehensive toolbox for model inversion attacks and defenses, which is easy to get started.
  ☆186Updated last month
• garrisongys / STRIP
  This is for releasing the source code of the ACSAC paper "STRIP: A Defence Against Trojan Attacks on Deep Neural Networks"
  ☆61Updated last year
• bboylyg / ABL
  Anti-Backdoor learning (NeurIPS 2021)
  ☆84Updated 2 years ago
• ybdai7 / Chameleon-durable-backdoor
  [ICML 2023] Official code implementation of "Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning (htt…
  ☆42Updated 2 months ago
• tly18 / TPAP
  ☆10Updated last year
• penghui-yang / awesome-data-poisoning-and-backdoor-attacks
  A curated list of papers & resources linked to data poisoning, backdoor attacks and defenses against them (no longer maintained)
  ☆279Updated 10 months ago
• hkunzhe / label_consistent_attacks_pytorch
  A minimal PyTorch implementation of Label-Consistent Backdoor Attacks
  ☆29Updated 4 years ago
• wanghangpsu / MM-BD
  The implementation of the IEEE S&P 2024 paper MM-BD: Post-Training Detection of Backdoor Attacks with Arbitrary Backdoor Pattern Types Us…
  ☆17Updated last year
• inspire-group / PatchCleanser
  Code for "PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier"
  ☆45Updated 2 years ago
• m-kahla / Label-Only-Model-Inversion-Attacks-via-Boundary-Repulsion
  ☆27Updated 3 years ago
• MadryLab / label-consistent-backdoor-code
  Code for "Label-Consistent Backdoor Attacks"
  ☆57Updated 5 years ago
• HongshengHu / membership-inference-machine-learning-literature
  ☆359Updated last week
• kzhao5 / ModelExtractionPapers
  Model Extraction(Stealing) Attacks and Defenses on Machine Learning Models Literature
  ☆22Updated last year
• rkteddy / channel-Lipschitzness-based-pruning
  Source code for ECCV 2022 Poster: Data-free Backdoor Removal based on Channel Lipschitzness
  ☆33Updated 2 years ago