Alternatives and similar repositories for ReMoS_artifact

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

• liuyugeng / baadd
  Code for Backdoor Attacks Against Dataset Distillation
  ☆35Updated 2 years ago
• giladcohen / NNIF_adv_defense
  Detection of adversarial examples using influence functions and nearest neighbors
  ☆37Updated 2 years ago
• jinyuan-jia / BadEncoder
  ☆82Updated 4 years ago
• JinkaiZheng / awesome-adversarial-attack-and-defense-papers
  ☆63Updated 4 years ago
• bboylyg / NAD
  This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks…
  ☆122Updated 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
  ☆72Updated last year
• Harry24k / PGD-pytorch
  A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"
  ☆156Updated 5 years ago
• wronnyhuang / metapoison
  Craft poisoned data using MetaPoison
  ☆53Updated 4 years ago
• sanjaykariyappa / MAZE
  Implementation of the paper "MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation".
  ☆30Updated 3 years ago
• dvlab-research / LBGAT
  Learnable Boundary Guided Adversarial Training (ICCV2021)
  ☆38Updated 8 months ago
• conditionWang / NTL
  This is the code of ICLR 2022 Oral paper 'Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Au…
  ☆29Updated last year
• zjfheart / Friendly-Adversarial-Training
  Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)
  ☆125Updated last year
• tribhuvanesh / knockoffnets
  Knockoff Nets: Stealing Functionality of Black-Box Models
  ☆105Updated 2 years ago
• hanwei0912 / Adversarial-Reading
  Paper sharing in adversary related works
  ☆45Updated 2 weeks ago
• bymavis / CAS_ICLR2021
  ☆58Updated 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"
  ☆58Updated 9 months ago
• vtddggg / CAA
  The implementation of our paper: Composite Adversarial Attacks (AAAI2021)
  ☆30Updated 3 years ago
• YisenWang / dynamic_adv_training
  Code for ICML2019 Paper "On the Convergence and Robustness of Adversarial Training"
  ☆34Updated 5 years ago
• AlbertMillan / adversarial-training-pytorch
  Implementation of adversarial training under fast-gradient sign method (FGSM), projected gradient descent (PGD) and CW using Wide-ResNet-…
  ☆40Updated 5 years ago
• PKU-ML / CFA
  ☆20Updated 5 months ago
• SPIN-UMass / ML-Privacy-Regulization
  ☆26Updated 6 years ago
• dongyp13 / Adversarial-Distributional-Training
  Adversarial Distributional Training (NeurIPS 2020)
  ☆63Updated 4 years ago
• DingfanChen / RelaxLoss
  Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)
  ☆50Updated 3 years ago
• val-iisc / Hard-Label-Model-Stealing
  ☆31Updated 3 years ago
• MadryLab / label-consistent-backdoor-code
  Code for "Label-Consistent Backdoor Attacks"
  ☆58Updated 4 years ago
• aldahdooh / detectors_review
  ☆51Updated 3 years ago
• zhoumingyi / DaST
  A novel data-free model stealing method based on GAN
  ☆128Updated 2 years ago
• YisenWang / MART
  Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"
  ☆151Updated 4 years ago
• MadryLab / backdoor_data_poisoning
  ☆25Updated 6 years ago
• hkunzhe / label_consistent_attacks_pytorch
  A minimal PyTorch implementation of Label-Consistent Backdoor Attacks
  ☆30Updated 4 years ago