zhenxianglance / RE-paper

Related projects ⓘ

Alternatives and complementary repositories for RE-paper

• Megum1 / ODSCAN
  [IEEE S&P'24] ODSCAN: Backdoor Scanning for Object Detection Models
  ☆11Updated 5 months ago
• Gwinhen / PixelBackdoor
  This is the implementation for CVPR 2022 Oral paper "Better Trigger Inversion Optimization in Backdoor Scanning."
  ☆24Updated 2 years ago
• KaiyuanZh / OrthogLinearBackdoor
  [IEEE S&P 2024] Exploring the Orthogonality and Linearity of Backdoor Attacks
  ☆17Updated last month
• Megum1 / DFST
  [AAAI'21] Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification
  ☆28Updated 4 months ago
• Gwinhen / BackdoorVault
  A toolbox for backdoor attacks.
  ☆19Updated last year
• hkunzhe / label_consistent_attacks_pytorch
  A minimal PyTorch implementation of Label-Consistent Backdoor Attacks
  ☆27Updated 3 years ago
• RU-System-Software-and-Security / BppAttack
  ☆17Updated 2 years ago
• tedbackdoordefense / ted
  ☆11Updated 10 months ago
• naiyeleo / ABS
  ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation
  ☆47Updated 2 years ago
• FlouriteJ / PoisonFrogs
  Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks
  ☆17Updated 5 years ago
• lvpeizhuo / Data-free_Backdoor
  This is the source code for Data-free Backdoor. Our paper is accepted by the 32nd USENIX Security Symposium (USENIX Security 2023).
  ☆31Updated last year
• jinyuan-jia / BadEncoder
  ☆76Updated 3 years ago
• garrisongys / STRIP
  This is for releasing the source code of the ACSAC paper "STRIP: A Defence Against Trojan Attacks on Deep Neural Networks"
  ☆49Updated this week
• bboylyg / ABL
  Anti-Backdoor learning (NeurIPS 2021)
  ☆78Updated last year
• Gwinhen / DRUPE
  Distribution Preserving Backdoor Attack in Self-supervised Learning
  ☆11Updated 9 months ago
• yuezunli / ISSBA
  Invisible Backdoor Attack with Sample-Specific Triggers
  ☆90Updated 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…
  ☆41Updated 2 years ago
• ZQ-Struggle / AdvDoor
  AdvDoor: Adversarial Backdoor Attack of Deep Learning System
  ☆30Updated last week
• RU-System-Software-and-Security / FeatureRE
  ☆25Updated 2 years ago
• kangliucn / Fine-pruning-defense
  Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)
  ☆46Updated 6 years ago
• Unispac / Subnet-Replacement-Attack
  Official implementation of (CVPR 2022 Oral) Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks.
  ☆26Updated 2 years ago
• sanjaykariyappa / MAZE
  Implementation of the paper "MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation".
  ☆28Updated 2 years ago
• MadryLab / label-consistent-backdoor-code
  Code for "Label-Consistent Backdoor Attacks"
  ☆49Updated 3 years ago
• kaidi-jin / backdoor_samples_detection
  ☆10Updated 3 years ago
• khoadoan106 / backdoor_attacks
  ☆24Updated last year
• GeorgePisl / backdoor-attacks-based-on-deep-learning
  Implementation of Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning paper
  ☆20Updated 4 years ago
• DreamtaleCore / Refool
  ☆43Updated 2 months ago
• hfzhang31 / A3FL
  ☆22Updated last year
• KaiyuanZh / FLIP
  [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning
  ☆44Updated last year
• YiZeng623 / I-BAU
  Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''
  ☆50Updated last year