Alternatives and similar repositories for Knowledge-Enriched-DMI

Users that are interested in Knowledge-Enriched-DMI are comparing it to the libraries listed below

• VinAIResearch / input-aware-backdoor-attack-release
  Input-aware Dynamic Backdoor Attack (NeurIPS 2020)
  ☆36Updated last year
• RorschachChen / entangled-watermark-torch
  ☆18Updated 4 years ago
• sanjaykariyappa / MAZE
  Implementation of the paper "MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation".
  ☆31Updated 4 years ago
• YiZeng623 / I-BAU
  Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''
  ☆53Updated 3 years ago
• RU-System-Software-and-Security / BppAttack
  ☆21Updated 3 years ago
• UMBCvision / Hidden-Trigger-Backdoor-Attacks
  Official Repository for the AAAI-20 paper "Hidden Trigger Backdoor Attacks"
  ☆133Updated 2 years ago
• VinAIResearch / Warping-based_Backdoor_Attack-release
  WaNet - Imperceptible Warping-based Backdoor Attack (ICLR 2021)
  ☆133Updated last year
• cake-lab / datafree-model-extraction
  CVPR 2021 Official repository for the Data-Free Model Extraction paper. https://arxiv.org/abs/2011.14779
  ☆75Updated last year
• Unispac / Circumventing-Backdoor-Defenses
  Code Repository for the Paper ---Revisiting the Assumption of Latent Separability for Backdoor Defenses (ICLR 2023)
  ☆46Updated 2 years 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…
  ☆46Updated 3 years ago
• yuezunli / ISSBA
  Invisible Backdoor Attack with Sample-Specific Triggers
  ☆104Updated 3 years ago
• AdelaideAuto-IDLab / Februus
  Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems
  ☆28Updated 4 years ago
• bboylyg / ABL
  Anti-Backdoor learning (NeurIPS 2021)
  ☆83Updated 2 years ago
• m-kahla / Label-Only-Model-Inversion-Attacks-via-Boundary-Repulsion
  ☆27Updated 3 years ago
• HanxunH / CognitiveDistillation
  [ICLR2023] Distilling Cognitive Backdoor Patterns within an Image
  ☆36Updated 2 months ago
• AI-secure / GMI-Attack
  ☆32Updated 4 years ago
• FlouriteJ / PoisonFrogs
  Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks
  ☆18Updated 6 years ago
• jinyuan-jia / BadEncoder
  ☆84Updated 4 years ago
• LetheSec / DFHL-RS-Attack
  [AAAI 2024] Data-Free Hard-Label Robustness Stealing Attack
  ☆15Updated last year
• bboylyg / NAD
  This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks…
  ☆127Updated 3 years ago
• ZhengyuZhao / Targeted-Transfer
  Simple yet effective targeted transferable attack (NeurIPS 2021)
  ☆51Updated 3 years ago
• zlh-thu / StealingVerification
  Defending against Model Stealing via Verifying Embedded External Features
  ☆38Updated 3 years ago
• zhenglisec / Label-Only-MIA
  ☆21Updated last year
• hkunzhe / label_consistent_attacks_pytorch
  A minimal PyTorch implementation of Label-Consistent Backdoor Attacks
  ☆29Updated 4 years ago
• khoadoan106 / backdoor_attacks
  ☆25Updated 3 years ago
• lhfowl / adversarial_poisons
  ☆54Updated 4 years ago
• MadryLab / label-consistent-backdoor-code
  Code for "Label-Consistent Backdoor Attacks"
  ☆57Updated 5 years ago
• wanlunsec / Beatrix
  ☆27Updated 2 years ago
• RU-System-Software-and-Security / FeatureRE
  ☆27Updated 3 years ago
• arpitbansal297 / Certified_Watermarks
  ☆16Updated 3 years ago