Alternatives and similar repositories for Target-Agnostic-Attack:

Users that are interested in Target-Agnostic-Attack are comparing it to the libraries listed below

• YiZeng623 / I-BAU
  Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''
  ☆54Updated 2 years ago
• kenny-co / sgd-uap-torch
  Universal Adversarial Perturbations (UAPs) for PyTorch
  ☆48Updated 3 years ago
• bymavis / CAS_ICLR2021
  ☆57Updated 2 years ago
• Jianbo-Lab / HSJA
  ☆83Updated 4 years ago
• kangliucn / Fine-pruning-defense
  Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)
  ☆47Updated 6 years ago
• superrrpotato / Defending-Neural-Backdoors-via-Generative-Distribution-Modeling
  The code is for our NeurIPS 2019 paper: https://arxiv.org/abs/1910.04749
  ☆33Updated 4 years ago
• tribhuvanesh / prediction-poisoning
  Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)
  ☆29Updated 4 years ago
• DreamtaleCore / Refool
  ☆46Updated 5 months ago
• cake-lab / datafree-model-extraction
  CVPR 2021 Official repository for the Data-Free Model Extraction paper. https://arxiv.org/abs/2011.14779
  ☆70Updated 10 months ago
• Unispac / Subnet-Replacement-Attack
  Official implementation of (CVPR 2022 Oral) Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks.
  ☆26Updated 2 years ago
• hkunzhe / label_consistent_attacks_pytorch
  A minimal PyTorch implementation of Label-Consistent Backdoor Attacks
  ☆30Updated 4 years ago
• AdelaideAuto-IDLab / Februus
  Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems
  ☆27Updated 3 years ago
• garrisongys / STRIP
  This is for releasing the source code of the ACSAC paper "STRIP: A Defence Against Trojan Attacks on Deep Neural Networks"
  ☆54Updated 3 months ago
• thu-ml / Prior-Guided-RGF
  ☆40Updated last year
• ShihaoZhaoZSH / Video-Backdoor-Attack
  [CVPR2020] Clean-Label Backdoor Attacks on Video Recognition Models
  ☆39Updated 4 years ago
• liuye6666 / adaptive_auto_attack
  Adversarial Robustness, White-box, Adversarial Attack
  ☆50Updated 2 years ago
• FlouriteJ / PoisonFrogs
  Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks
  ☆17Updated 5 years ago
• RJ-T / NIPS2022_EP_BNP
  Official Implementation of NIPS 2022 paper Pre-activation Distributions Expose Backdoor Neurons
  ☆14Updated 2 years ago
• zlh-thu / StealingVerification
  Defending against Model Stealing via Verifying Embedded External Features
  ☆35Updated 3 years ago
• hsouri / Sleeper-Agent
  ☆65Updated last year
• jhayes14 / UAN
  Universal Adversarial Networks
  ☆33Updated 6 years ago
• cchoquette / membership-inference
  Code for the paper: Label-Only Membership Inference Attacks
  ☆64Updated 3 years ago
• cleverhans-lab / entangled-watermark
  ☆44Updated 3 years ago
• Megum1 / DFST
  [AAAI'21] Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification
  ☆28Updated last month
• ermongroup / ODS
  Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"
  ☆53Updated 4 years ago
• GeorgePisl / backdoor-attacks-based-on-deep-learning
  Implementation of Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning paper
  ☆20Updated 4 years ago
• TemporaryAcc0unt / composite-attack
  ☆21Updated 4 years ago
• sunbelbd / invisible_backdoor_attacks
  ☆19Updated 2 years ago
• aldahdooh / detectors_review
  ☆50Updated 3 years ago
• bboylyg / ABL
  Anti-Backdoor learning (NeurIPS 2021)
  ☆81Updated last year