Alternatives and similar repositories for LowProFool

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

• criteo-research / continuous-fairness
  ☆22Updated 6 years ago
• hbaniecki / adversarial-explainable-ai
  💡 Adversarial attacks on explanations and how to defend them
  ☆328Updated 10 months ago
• lmgraves / AmnesiacML
  Methods for removing learned data from neural nets and evaluation of those methods
  ☆37Updated 4 years ago
• charan223 / FairDeepLearning
  ☆37Updated 2 years ago
• aks2203 / poisoning-benchmark
  A unified benchmark problem for data poisoning attacks
  ☆160Updated 2 years ago
• ZFancy / IAD
  [ICLR 2022] Reliable Adversarial Distillation with Unreliable Teachers
  ☆22Updated 3 years ago
• wielandbrendel / adaptive_attacks_paper
  Code for "On Adaptive Attacks to Adversarial Example Defenses"
  ☆87Updated 4 years ago
• inspire-group / MIAdefenseSELENA
  [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture
  ☆17Updated 3 years ago
• ndb796 / Pytorch-Adversarial-Training-CIFAR
  This repository provides simple PyTorch implementations for adversarial training methods on CIFAR-10.
  ☆170Updated 4 years ago
• cleverhans-lab / machine-unlearning
  ☆194Updated 2 years ago
• alewarne / MachineUnlearning
  Code related to the paper "Machine Unlearning of Features and Labels"
  ☆71Updated last year
• HanxunH / Unlearnable-Examples
  [ICLR2021] Unlearnable Examples: Making Personal Data Unexploitable
  ☆171Updated last year
• kaiwenzha / contrastive-poisoning
  [ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning
  ☆31Updated last year
• sokcertifiedrobustness / sokcertifiedrobustness.github.io
  Keeps track of popular provable training and verification approaches towards robust neural networks, including leaderboards on popular da…
  ☆19Updated last year
• lhfowl / adversarial_poisons
  ☆54Updated 4 years ago
• AdityaGolatkar / SelectiveForgetting
  ☆58Updated 5 years ago
• shrezaei / MI-Attack
  ☆32Updated last year
• brandeis-machine-learning / awesome-ml-fairness
  Papers and online resources related to machine learning fairness
  ☆73Updated 2 years ago
• AndrewZhou924 / Awesome-model-inversion-attack
  [arXiv:2411.10023] "Model Inversion Attacks: A Survey of Approaches and Countermeasures"
  ☆207Updated 4 months ago
• tao-bai / attack-and-defense-methods
  A curated list of papers on adversarial machine learning (adversarial examples and defense methods).
  ☆211Updated 3 years ago
• zhenglisec / Label-Only-MIA
  ☆19Updated last year
• MadryLab / label-consistent-backdoor-code
  Code for "Label-Consistent Backdoor Attacks"
  ☆58Updated 4 years ago
• lucweytingh / ARL-UvA
  A reproduced PyTorch implementation of the Adversarially Reweighted Learning (ARL) model, originally presented in "Fairness without Demog…
  ☆20Updated 4 years ago
• pankessel / adv_explanation_ref
  reference implementation for "explanations can be manipulated and geometry is to blame"
  ☆38Updated 3 years ago
• meghdadk / SCRUB
  ☆47Updated last year
• daviddao / awesome-data-valuation
  💱 A curated list of data valuation (DV) to design your next data marketplace
  ☆128Updated 8 months ago
• ahxt / fair_fairness_benchmark
  FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.
  ☆30Updated last year
• F-Salehi / CURE_robustness
  Implemented CURE algorithm from robustness via curvature regularization and vice versa
  ☆32Updated 2 years ago
• facebookresearch / certified-removal
  Certified Removal from Machine Learning Models
  ☆69Updated 4 years ago
• sanjaykariyappa / MAZE
  Implementation of the paper "MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation".
  ☆30Updated 3 years ago