Alternatives and similar repositories for dataset-inference

Users that are interested in dataset-inference are comparing it to the libraries listed below

• YiZeng623 / I-BAU
  Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''
  ☆53Updated 2 years ago
• AI-secure / Robustness-Against-Backdoor-Attacks
  RAB: Provable Robustness Against Backdoor Attacks
  ☆39Updated 2 years ago
• lhfowl / adversarial_poisons
  ☆54Updated 4 years ago
• csdongxian / ANP_backdoor
  Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"
  ☆58Updated 2 years ago
• AISafety-HKUST / Backdoor_Safety_Tuning
  Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)
  ☆26Updated 11 months ago
• YiZeng623 / frequency-backdoor
  ICCV 2021, We find most existing triggers of backdoor attacks in deep learning contain severe artifacts in the frequency domain. This Rep…
  ☆45Updated 3 years ago
• HanxunH / CognitiveDistillation
  [ICLR2023] Distilling Cognitive Backdoor Patterns within an Image
  ☆36Updated last month
• TDteach / Demon-in-the-Variant
  ☆13Updated 4 years ago
• cake-lab / datafree-model-extraction
  CVPR 2021 Official repository for the Data-Free Model Extraction paper. https://arxiv.org/abs/2011.14779
  ☆74Updated last year
• zhenglisec / Label-Only-MIA
  ☆19Updated last year
• Alan-Qin / Transfer_attack_RAP
  Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)
  ☆33Updated 2 years ago
• hkunzhe / label_consistent_attacks_pytorch
  A minimal PyTorch implementation of Label-Consistent Backdoor Attacks
  ☆30Updated 4 years ago
• jinghuichen / AWM
  Github repo for One-shot Neural Backdoor Erasing via Adversarial Weight Masking (NeurIPS 2022)
  ☆15Updated 2 years ago
• kaiwenzha / contrastive-poisoning
  [ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning
  ☆31Updated last year
• sunbelbd / invisible_backdoor_attacks
  ☆19Updated 3 years ago
• TLMichael / Delusive-Adversary
  [NeurIPS 2021] Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training
  ☆32Updated 3 years ago
• uchicago-sandlab / naturalbackdoors
  Code for identifying natural backdoors in existing image datasets.
  ☆15Updated 3 years ago
• MadryLab / label-consistent-backdoor-code
  Code for "Label-Consistent Backdoor Attacks"
  ☆58Updated 4 years ago
• Unispac / Circumventing-Backdoor-Defenses
  Code Repository for the Paper ---Revisiting the Assumption of Latent Separability for Backdoor Defenses (ICLR 2023)
  ☆44Updated 2 years ago
• Saehyung-Lee / cifar10_challenge
  Code for the CVPR 2020 article "Adversarial Vertex mixup: Toward Better Adversarially Robust Generalization"
  ☆13Updated 5 years ago
• ShawnXYang / AccumulativeAttack
  ☆19Updated 4 years ago
• wronnyhuang / metapoison
  Craft poisoned data using MetaPoison
  ☆53Updated 4 years ago
• jinyuan-jia / BadEncoder
  ☆84Updated 4 years ago
• SCccc21 / Knowledge-Enriched-DMI
  ☆45Updated 2 years ago
• sanjaykariyappa / MAZE
  Implementation of the paper "MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation".
  ☆30Updated 3 years ago
• bboylyg / ABL
  Anti-Backdoor learning (NeurIPS 2021)
  ☆84Updated 2 years ago
• arpitbansal297 / Certified_Watermarks
  ☆16Updated 3 years ago
• shrezaei / MI-Attack
  ☆32Updated last year
• reds-lab / Meta-Sift
  The official implementation of USENIX Security'23 paper "Meta-Sift" -- Ten minutes or less to find a 1000-size or larger clean subset on …
  ☆19Updated 2 years ago
• Jimmy-di / camouflage-poisoning
  Camouflage poisoning via machine unlearning
  ☆17Updated 3 months ago