THUYimingLi / Open-sourced_Dataset_Protection

Related projects ⓘ

Alternatives and complementary repositories for Open-sourced_Dataset_Protection

• sunbelbd / invisible_backdoor_attacks
  ☆19Updated 2 years ago
• RorschachChen / entangled-watermark-torch
  ☆17Updated 3 years ago
• zlh-thu / StealingVerification
  Defending against Model Stealing via Verifying Embedded External Features
  ☆32Updated 2 years ago
• Ekko-zn / IJCAI2022-Backdoor
  ☆19Updated 2 years ago
• Alan-Qin / Transfer_attack_RAP
  Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)
  ☆33Updated last year
• ShawnXYang / AccumulativeAttack
  ☆19Updated 3 years ago
• HXZhong1997 / FSBA
  ☆11Updated 2 years ago
• MadryLab / label-consistent-backdoor-code
  Code for "Label-Consistent Backdoor Attacks"
  ☆49Updated 4 years ago
• cleverhans-lab / dataset-inference
  [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning
  ☆31Updated 2 years ago
• TemporaryAcc0unt / composite-attack
  ☆19Updated 4 years ago
• hkunzhe / label_consistent_attacks_pytorch
  A minimal PyTorch implementation of Label-Consistent Backdoor Attacks
  ☆27Updated 3 years ago
• Gwinhen / PixelBackdoor
  This is the implementation for CVPR 2022 Oral paper "Better Trigger Inversion Optimization in Backdoor Scanning."
  ☆24Updated 2 years ago
• AI-secure / Robustness-Against-Backdoor-Attacks
  RAB: Provable Robustness Against Backdoor Attacks
  ☆39Updated last year
• mathebell / model-watermarking
  ☆15Updated 2 years ago
• THUYimingLi / Untargeted_Backdoor_Watermark
  This is the official implementation of our paper 'Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protecti…
  ☆52Updated 8 months ago
• Framartin / lgv-geometric-transferability
  Source of the ECCV22 paper "LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity"
  ☆17Updated last year
• RU-System-Software-and-Security / NIC
  ☆11Updated last year
• HanxunH / CognitiveDistillation
  [ICLR2023] Distilling Cognitive Backdoor Patterns within an Image
  ☆31Updated last month
• YiZeng623 / I-BAU
  Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''
  ☆50Updated 2 years ago
• TDteach / Demon-in-the-Variant
  ☆12Updated 3 years ago
• ZJZAC / Poison-Ink
  ☆16Updated 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…
  ☆41Updated 2 years ago
• jinghuichen / AWM
  Github repo for One-shot Neural Backdoor Erasing via Adversarial Weight Masking (NeurIPS 2022)
  ☆14Updated last year
• SCLBD / DBD
  ☆28Updated 2 years ago
• khoadoan106 / backdoor_attacks
  ☆25Updated last year
• RJ-T / NIPS2022_EP_BNP
  Official Implementation of NIPS 2022 paper Pre-activation Distributions Expose Backdoor Neurons
  ☆14Updated last year
• WenRuiUSTC / EntF
  PyTorch implementation of our ICLR 2023 paper titled "Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning?".
  ☆12Updated last year
• XiuchuanLi / fmixup
  Decision-based Adversarial Attack with Frequency Mixup
  ☆21Updated last year
• ZhengyuZhao / Targeted-Transfer
  Simple yet effective targeted transferable attack (NeurIPS 2021)
  ☆47Updated 2 years ago
• ghua-ac / DNN_Watermark
  Implementation of IEEE TNNLS 2023 and Elsevier PR 2023 papers on backdoor watermarking for deep classification models with unambiguity an…
  ☆14Updated last year