Alternatives and similar repositories for invisible_backdoor_attacks

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

• hkunzhe / label_consistent_attacks_pytorch
  A minimal PyTorch implementation of Label-Consistent Backdoor Attacks
  ☆30Updated 4 years ago
• zlh-thu / StealingVerification
  Defending against Model Stealing via Verifying Embedded External Features
  ☆36Updated 3 years ago
• RU-System-Software-and-Security / FeatureRE
  ☆27Updated 2 years ago
• RorschachChen / entangled-watermark-torch
  ☆18Updated 3 years ago
• mathebell / model-watermarking
  ☆16Updated 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
• YiZeng623 / I-BAU
  Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''
  ☆53Updated 2 years ago
• THUYimingLi / Open-sourced_Dataset_Protection
  This is the implementation of our paper 'Open-sourced Dataset Protection via Backdoor Watermarking', accepted by the NeurIPS Workshop on …
  ☆21Updated 3 years ago
• cleverhans-lab / dataset-inference
  [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning
  ☆32Updated 2 years ago
• Gwinhen / PixelBackdoor
  This is the implementation for CVPR 2022 Oral paper "Better Trigger Inversion Optimization in Backdoor Scanning."
  ☆24Updated 3 years ago
• Alan-Qin / Transfer_attack_RAP
  Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)
  ☆33Updated 2 years ago
• Ekko-zn / IJCAI2022-Backdoor
  ☆19Updated 3 years ago
• bboylyg / ABL
  Anti-Backdoor learning (NeurIPS 2021)
  ☆82Updated 2 years ago
• kenny-co / sgd-uap-torch
  Universal Adversarial Perturbations (UAPs) for PyTorch
  ☆48Updated 3 years ago
• MadryLab / label-consistent-backdoor-code
  Code for "Label-Consistent Backdoor Attacks"
  ☆57Updated 4 years ago
• WenRuiUSTC / EntF
  PyTorch implementation of our ICLR 2023 paper titled "Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning?".
  ☆12Updated 2 years ago
• csdongxian / ANP_backdoor
  Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"
  ☆58Updated 2 years ago
• Unispac / Circumventing-Backdoor-Defenses
  Code Repository for the Paper ---Revisiting the Assumption of Latent Separability for Backdoor Defenses (ICLR 2023)
  ☆42Updated 2 years ago
• AI-secure / Robustness-Against-Backdoor-Attacks
  RAB: Provable Robustness Against Backdoor Attacks
  ☆39Updated last year
• jinghuichen / AWM
  Github repo for One-shot Neural Backdoor Erasing via Adversarial Weight Masking (NeurIPS 2022)
  ☆15Updated 2 years ago
• HanxunH / CognitiveDistillation
  [ICLR2023] Distilling Cognitive Backdoor Patterns within an Image
  ☆36Updated 9 months ago
• RU-System-Software-and-Security / NONE
  ☆11Updated 2 years ago
• RU-System-Software-and-Security / BppAttack
  ☆21Updated 2 years ago
• ZhengyuZhao / Targeted-Transfer
  Simple yet effective targeted transferable attack (NeurIPS 2021)
  ☆51Updated 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…
  ☆44Updated 3 years ago
• ShawnXYang / AccumulativeAttack
  ☆19Updated 4 years ago
• SCccc21 / Knowledge-Enriched-DMI
  ☆44Updated last year
• cleverhans-lab / entangled-watermark
  ☆48Updated 4 years ago
• GeorgePisl / backdoor-attacks-based-on-deep-learning
  Implementation of Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning paper
  ☆20Updated 5 years ago
• VinAIResearch / input-aware-backdoor-attack-release
  Input-aware Dynamic Backdoor Attack (NeurIPS 2020)
  ☆35Updated last year