Alternatives and similar repositories for Poison-Ink:

Users that are interested in Poison-Ink are comparing it to the libraries listed below

• ghua-ac / DNN_Watermark
  Implementation of IEEE TNNLS 2023 and Elsevier PR 2023 papers on backdoor watermarking for deep classification models with unambiguity an…
  ☆16Updated last year
• RU-System-Software-and-Security / BppAttack
  ☆19Updated 2 years ago
• RorschachChen / entangled-watermark-torch
  ☆17Updated 3 years ago
• ZhengyuZhao / Targeted-Transfer
  Simple yet effective targeted transferable attack (NeurIPS 2021)
  ☆51Updated 2 years ago
• mathebell / model-watermarking
  ☆16Updated 3 years ago
• Alan-Qin / Transfer_attack_RAP
  Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)
  ☆33Updated 2 years ago
• jinghuichen / AWM
  Github repo for One-shot Neural Backdoor Erasing via Adversarial Weight Masking (NeurIPS 2022)
  ☆15Updated 2 years ago
• KuofengGao / ASD
  [CVPR 2023] Backdoor Defense via Adaptively Splitting Poisoned Dataset
  ☆49Updated last year
• hkunzhe / label_consistent_attacks_pytorch
  A minimal PyTorch implementation of Label-Consistent Backdoor Attacks
  ☆30Updated 4 years ago
• Ekko-zn / IJCAI2022-Backdoor
  ☆19Updated 3 years ago
• HanxunH / CognitiveDistillation
  [ICLR2023] Distilling Cognitive Backdoor Patterns within an Image
  ☆35Updated 6 months ago
• sunbelbd / invisible_backdoor_attacks
  ☆19Updated 3 years ago
• YiZeng623 / I-BAU
  Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''
  ☆53Updated 2 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 last year
• njuaplusplus / Elijah
  ☆13Updated last year
• Megum1 / DFST
  [AAAI'21] Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification
  ☆28Updated 4 months ago
• MadryLab / label-consistent-backdoor-code
  Code for "Label-Consistent Backdoor Attacks"
  ☆57Updated 4 years ago
• SCccc21 / Knowledge-Enriched-DMI
  ☆43Updated last year
• 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…
  ☆43Updated 3 years ago
• TemporaryAcc0unt / composite-attack
  ☆21Updated 4 years ago
• CGCL-codes / TransferAttackSurrogates
  The official code of IEEE S&P 2024 paper "Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferabili…
  ☆19Updated 8 months ago
• renjie3 / TUE
  Code for Transferable Unlearnable Examples
  ☆19Updated 2 years ago
• qilong-zhang / Targeted_Patch-wise-plusplus_iterative_attack
  The extension of "Patch-wise Attack for Fooling Deep Neural Network (ECCV2020)", and we aim to boost the success rates of targeted attack…
  ☆27Updated 3 years ago
• Gwinhen / PixelBackdoor
  This is the implementation for CVPR 2022 Oral paper "Better Trigger Inversion Optimization in Backdoor Scanning."
  ☆24Updated 3 years ago
• JunfengGo / SCALE-UP
  ☆23Updated 10 months ago
• khoadoan106 / backdoor_attacks
  ☆26Updated 2 years ago
• tedbackdoordefense / ted
  ☆15Updated last year
• JJ-Vice / BAGM
  All code and data necessary to replicate experiments in the paper BAGM: A Backdoor Attack for Manipulating Text-to-Image Generative Model…
  ☆11Updated 7 months ago
• guanjiyang / SAC
  ☆18Updated 2 years ago
• yuezunli / ISSBA
  Invisible Backdoor Attack with Sample-Specific Triggers
  ☆94Updated 2 years ago