aks2203 / poisoning-benchmark

Related projects ⓘ

Alternatives and complementary repositories for poisoning-benchmark

• JonasGeiping / poisoning-gradient-matching
  Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching
  ☆94Updated 3 months ago
• wielandbrendel / adaptive_attacks_paper
  Code for "On Adaptive Attacks to Adversarial Example Defenses"
  ☆85Updated 3 years ago
• ashafahi / inceptionv3-transferLearn-poison
  Attacking a dog vs fish classification that uses transfer learning inceptionV3
  ☆68Updated 6 years ago
• usnistgov / trojai-literature
  ☆140Updated last month
• bboylyg / NAD
  This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks…
  ☆118Updated 2 years ago
• hsouri / Sleeper-Agent
  ☆60Updated 9 months ago
• cake-lab / datafree-model-extraction
  CVPR 2021 Official repository for the Data-Free Model Extraction paper. https://arxiv.org/abs/2011.14779
  ☆69Updated 7 months ago
• tribhuvanesh / knockoffnets
  Knockoff Nets: Stealing Functionality of Black-Box Models
  ☆89Updated last year
• Jianbo-Lab / HSJA
  ☆79Updated 3 years ago
• UMBCvision / Hidden-Trigger-Backdoor-Attacks
  Official Repository for the AAAI-20 paper "Hidden Trigger Backdoor Attacks"
  ☆117Updated last year
• jinyuan-jia / BadEncoder
  ☆76Updated 3 years ago
• MadryLab / label-consistent-backdoor-code
  Code for "Label-Consistent Backdoor Attacks"
  ☆49Updated 3 years ago
• tribhuvanesh / prediction-poisoning
  Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)
  ☆29Updated 4 years ago
• JonasGeiping / data-poisoning
  Implementations of data poisoning attacks against neural networks and related defenses.
  ☆66Updated 4 months ago
• Kooscii / BadNets
  ☆91Updated 4 years ago
• VinAIResearch / input-aware-backdoor-attack-release
  Input-aware Dynamic Backdoor Attack (NeurIPS 2020)
  ☆28Updated 3 months ago
• Ping-C / certifiedpatchdefense
  Repository for Certified Defenses for Adversarial Patch ICLR-2020
  ☆32Updated 4 years ago
• sanjaykariyappa / MAZE
  Implementation of the paper "MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation".
  ☆28Updated 2 years ago
• jeromerony / adversarial-library
  Library containing PyTorch implementations of various adversarial attacks and resources
  ☆149Updated last month
• tao-bai / attack-and-defense-methods
  A curated list of papers on adversarial machine learning (adversarial examples and defense methods).
  ☆211Updated 2 years ago
• shrezaei / MI-Attack
  ☆32Updated 2 months ago
• liuyugeng / ML-Doctor
  Code for ML Doctor
  ☆86Updated 3 months ago
• haizhongzheng / ATTA
  ATTA (Efficient Adversarial Training with Transferable Adversarial Examples)
  ☆32Updated 4 years ago
• naiyeleo / ABS
  ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation
  ☆47Updated 2 years ago
• kangliucn / Fine-pruning-defense
  Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)
  ☆46Updated 6 years ago
• ndb796 / Pytorch-Adversarial-Training-CIFAR
  This repository provides simple PyTorch implementations for adversarial training methods on CIFAR-10.
  ☆155Updated 3 years ago
• AI-secure / Certified-Robustness-SoK-Oldver
  This repo keeps track of popular provable training and verification approaches towards robust neural networks, including leaderboards on …
  ☆99Updated 2 years ago
• MadryLab / backdoor_data_poisoning
  ☆25Updated 5 years ago
• HanxunH / Unlearnable-Examples
  [ICLR2021] Unlearnable Examples: Making Personal Data Unexploitable
  ☆150Updated 4 months ago
• hyhmia / BlindMI
  ☆23Updated 2 years ago