Alternatives and similar repositories for On.the.Trade-off.between.Adversarial.and.Backdoor.Robustness:

Users that are interested in On.the.Trade-off.between.Adversarial.and.Backdoor.Robustness are comparing it to the libraries listed below

• kangliucn / Fine-pruning-defense
  Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)
  ☆46Updated 6 years ago
• naiyeleo / ABS
  ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation
  ☆49Updated 2 years ago
• lmunoz-gonzalez / Poisoning-Attacks-with-Back-gradient-Optimization
  Example of the attack described in the paper "Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization"
  ☆21Updated 5 years ago
• superrrpotato / Defending-Neural-Backdoors-via-Generative-Distribution-Modeling
  The code is for our NeurIPS 2019 paper: https://arxiv.org/abs/1910.04749
  ☆32Updated 4 years ago
• neeharperi / DeepKNNDefense
  KNN Defense Against Clean Label Poisoning Attacks
  ☆12Updated 3 years ago
• inspire-group / privacy-vs-robustness
  Privacy Risks of Securing Machine Learning Models against Adversarial Examples
  ☆44Updated 5 years ago
• tribhuvanesh / prediction-poisoning
  Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)
  ☆29Updated 4 years ago
• wronnyhuang / metapoison
  Craft poisoned data using MetaPoison
  ☆49Updated 3 years ago
• AI-secure / Meta-Nerual-Trojan-Detection
  ☆64Updated 4 years ago
• AI-secure / Robustness-Against-Backdoor-Attacks
  RAB: Provable Robustness Against Backdoor Attacks
  ☆39Updated last year
• MadryLab / backdoor_data_poisoning
  ☆25Updated 6 years ago
• shrezaei / MI-Attack
  ☆31Updated 4 months ago
• DennisLiu2022 / Membership-Inference-Attacks-by-Exploiting-Loss-Trajectory
  ☆23Updated 2 years ago
• Gwinhen / PixelBackdoor
  This is the implementation for CVPR 2022 Oral paper "Better Trigger Inversion Optimization in Backdoor Scanning."
  ☆24Updated 2 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
• garrisongys / STRIP
  This is for releasing the source code of the ACSAC paper "STRIP: A Defence Against Trojan Attacks on Deep Neural Networks"
  ☆53Updated 2 months ago
• kaidi-jin / backdoor_samples_detection
  ☆10Updated 3 years ago
• ashafahi / inceptionv3-transferLearn-poison
  Attacking a dog vs fish classification that uses transfer learning inceptionV3
  ☆71Updated 6 years ago
• hyhmia / BlindMI
  ☆23Updated 2 years ago
• inspire-group / unlearning-verification
  verifying machine unlearning by backdooring
  ☆19Updated last year
• jinyuan-jia / MemGuard
  ☆45Updated 5 years ago
• sanjaykariyappa / MAZE
  Implementation of the paper "MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation".
  ☆29Updated 3 years ago
• cchoquette / membership-inference
  Code for the paper: Label-Only Membership Inference Attacks
  ☆64Updated 3 years ago
• YiZeng623 / I-BAU
  Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''
  ☆54Updated 2 years ago
• AdelaideAuto-IDLab / Februus
  Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems
  ☆27Updated 3 years ago
• cake-lab / datafree-model-extraction
  CVPR 2021 Official repository for the Data-Free Model Extraction paper. https://arxiv.org/abs/2011.14779
  ☆69Updated 9 months ago
• SPIN-UMass / ML-Privacy-Regulization
  ☆26Updated 6 years ago
• cleverhans-lab / dataset-inference
  [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning
  ☆31Updated 2 years ago
• sunbelbd / invisible_backdoor_attacks
  ☆19Updated 2 years ago
• MadryLab / label-consistent-backdoor-code
  Code for "Label-Consistent Backdoor Attacks"
  ☆52Updated 4 years ago