Alternatives and similar repositories for OrthogLinearBackdoor

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

• Megum1 / ODSCAN
  [IEEE S&P'24] ODSCAN: Backdoor Scanning for Object Detection Models
  ☆17Updated 5 months ago
• Gwinhen / BackdoorVault
  A toolbox for backdoor attacks.
  ☆22Updated 2 years ago
• Megum1 / LOTUS
  [CVPR'24] LOTUS: Evasive and Resilient Backdoor Attacks through Sub-Partitioning
  ☆15Updated 5 months ago
• Gwinhen / PixelBackdoor
  This is the implementation for CVPR 2022 Oral paper "Better Trigger Inversion Optimization in Backdoor Scanning."
  ☆24Updated 3 years ago
• Megum1 / BEAGLE
  [NDSS'23] BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense
  ☆17Updated last year
• Megum1 / DFST
  [AAAI'21] Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification
  ☆29Updated 5 months ago
• RU-System-Software-and-Security / BppAttack
  ☆19Updated 2 years ago
• Gwinhen / DRUPE
  Distribution Preserving Backdoor Attack in Self-supervised Learning
  ☆16Updated last year
• AISafety-HKUST / Backdoor_Safety_Tuning
  Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)
  ☆26Updated 7 months ago
• Megum1 / UNIT
  [ECCV'24] UNIT: Backdoor Mitigation via Automated Neural Distribution Tightening
  ☆10Updated 3 months ago
• YiZeng623 / I-BAU
  Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''
  ☆53Updated 2 years ago
• hkunzhe / label_consistent_attacks_pytorch
  A minimal PyTorch implementation of Label-Consistent Backdoor Attacks
  ☆30Updated 4 years ago
• RU-System-Software-and-Security / FeatureRE
  ☆27Updated 2 years ago
• bboylyg / RNP
  Reconstructive Neuron Pruning for Backdoor Defense (ICML 2023)
  ☆38Updated last year
• csdongxian / ANP_backdoor
  Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"
  ☆58Updated 2 years ago
• zhenxianglance / RE-paper
  Reverse Engineering Imperceptible Backdoor Attacks on Deep Neural Networks for Detection and Training Set Cleansing
  ☆13Updated 4 years ago
• FlouriteJ / PoisonFrogs
  Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks
  ☆17Updated 6 years ago
• CGCL-codes / TeCo
  [CVPR 2023] The official implementation of our CVPR 2023 paper "Detecting Backdoors During the Inference Stage Based on Corruption Robust…
  ☆23Updated 2 years ago
• sunbelbd / invisible_backdoor_attacks
  ☆19Updated 3 years ago
• jinyuan-jia / BadEncoder
  ☆82Updated 3 years ago
• RorschachChen / entangled-watermark-torch
  ☆17Updated 3 years ago
• njuaplusplus / Elijah
  ☆13Updated last year
• naiyeleo / ABS
  ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation
  ☆52Updated 3 years ago
• MadryLab / label-consistent-backdoor-code
  Code for "Label-Consistent Backdoor Attacks"
  ☆57Updated 4 years ago
• AdelaideAuto-IDLab / Februus
  Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems
  ☆28Updated 4 years ago
• Unispac / Subnet-Replacement-Attack
  Official implementation of (CVPR 2022 Oral) Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks.
  ☆26Updated 3 years ago
• rkteddy / channel-Lipschitzness-based-pruning
  Source code for ECCV 2022 Poster: Data-free Backdoor Removal based on Channel Lipschitzness
  ☆33Updated 2 years ago
• RJ-T / NIPS2022_EP_BNP
  Official Implementation of NIPS 2022 paper Pre-activation Distributions Expose Backdoor Neurons
  ☆14Updated 2 years ago
• Gwinhen / MOTH
  This is the implementation for IEEE S&P 2022 paper "Model Orthogonalization: Class Distance Hardening in Neural Networks for Better Secur…
  ☆12Updated 2 years ago
• JunfengGo / SCALE-UP
  ☆23Updated last year