IBM / devil-in-GAN

Related projects: ⓘ

• SSGAalto / prada-protecting-against-dnn-model-stealing-attacks
  Reference implementation of the PRADA model stealing defense. IEEE Euro S&P 2019.
  ☆33Updated 5 years ago
• JonasGeiping / data-poisoning
  Implementations of data poisoning attacks against neural networks and related defenses.
  ☆63Updated 2 months ago
• Shawn-Shan / trapdoor
  Code Implementation for Gotta Catch ’Em All: Using Honeypots to Catch Adversarial Attacks on Neural Networks
  ☆26Updated 2 years ago
• liuyugeng / ML-Doctor
  Code for ML Doctor
  ☆84Updated last month
• trojai / trojai
  A repository to quickly generate synthetic data and associated trojaned deep learning models
  ☆74Updated last year
• wielandbrendel / adaptive_attacks_paper
  Code for "On Adaptive Attacks to Adversarial Example Defenses"
  ☆84Updated 3 years ago
• usnistgov / trojai-literature
  ☆133Updated 4 months ago
• shrezaei / MI-Attack
  ☆31Updated 2 weeks ago
• hyhmia / BlindMI
  ☆22Updated 2 years ago
• cake-lab / datafree-model-extraction
  CVPR 2021 Official repository for the Data-Free Model Extraction paper. https://arxiv.org/abs/2011.14779
  ☆66Updated 5 months ago
• YuxinWenRick / canary-in-a-coalmine
  ☆31Updated 9 months ago
• unica-mlsec / mlsec
  PhD/MSc course on Machine Learning Security (Univ. Cagliari)
  ☆190Updated this week
• DingfanChen / RelaxLoss
  Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)
  ☆45Updated 2 years ago
• cleverhans-lab / entangled-watermark
  ☆44Updated 3 years ago
• jinhaoduan / SecMI
  [ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?
  ☆29Updated 2 weeks ago
• pralab / secml
  A Python library for Secure and Explainable Machine Learning
  ☆144Updated 4 months ago
• pralab / ImageNet-Patch
  ☆37Updated 7 months ago
• Unispac / Circumventing-Backdoor-Defenses
  Code Repository for the Paper ---Revisiting the Assumption of Latent Separability for Backdoor Defenses (ICLR 2023)
  ☆32Updated last year
• google-deepmind / informed_adversary_mnist_reconstruction
  ☆16Updated 2 years ago
• tribhuvanesh / prediction-poisoning
  Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)
  ☆29Updated 3 years ago
• Machine-Learning-Security-Lab / mia_prune
  Membership Inference Attacks and Defenses in Neural Network Pruning
  ☆25Updated 2 years ago
• AI-secure / Meta-Nerual-Trojan-Detection
  ☆60Updated 3 years ago
• ch-shin / awesome-data-poisoning
  ☆19Updated 2 years ago
• trx14 / TrojanNet
  ☆82Updated 10 months ago
• garrisongys / STRIP
  This is for releasing the source code of the ACSAC paper "STRIP: A Defence Against Trojan Attacks on Deep Neural Networks"
  ☆47Updated 4 years ago
• inspire-group / membership-inference-evaluation
  Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models
  ☆117Updated 5 months ago
• xlhex / extract_and_transfer
  ☆9Updated 3 years ago
• MadryLab / backdoor_data_poisoning
  ☆25Updated 5 years ago
• aks2203 / poisoning-benchmark
  A unified benchmark problem for data poisoning attacks
  ☆148Updated 11 months ago
• cleverhans-lab / model-extraction-iclr
  ☆12Updated 2 years ago