Alternatives and similar repositories for friendly-noise

Users that are interested in friendly-noise are comparing it to the libraries listed below

• jinghuichen / AWM
  Github repo for One-shot Neural Backdoor Erasing via Adversarial Weight Masking (NeurIPS 2022)
  ☆15Updated 2 years ago
• psandovalsegura / autoregressive-poisoning
  Code for the paper "Autoregressive Perturbations for Data Poisoning" (NeurIPS 2022)
  ☆20Updated last year
• zqypku / mm_poison
  ☆21Updated 2 years ago
• AISafety-HKUST / Backdoor_Safety_Tuning
  Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)
  ☆26Updated 11 months ago
• RU-System-Software-and-Security / NONE
  ☆10Updated 3 years ago
• Huang-yihao / Personalization-based_backdoor
  ☆10Updated 10 months ago
• RU-System-Software-and-Security / UNICORN
  ☆15Updated 2 years ago
• cleverhans-lab / dataset-inference
  [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning
  ☆32Updated 3 years ago
• uchicago-sandlab / naturalbackdoors
  Code for identifying natural backdoors in existing image datasets.
  ☆15Updated 3 years ago
• RJ-T / NIPS2022_EP_BNP
  Official Implementation of NIPS 2022 paper Pre-activation Distributions Expose Backdoor Neurons
  ☆14Updated 2 years ago
• reds-lab / Meta-Sift
  The official implementation of USENIX Security'23 paper "Meta-Sift" -- Ten minutes or less to find a 1000-size or larger clean subset on …
  ☆19Updated 2 years ago
• YuYang0901 / EPIC
  Not All Poisons are Created Equal: Robust Training against Data Poisoning (ICML 2022)
  ☆21Updated 3 years ago
• PurduePAML / Exray
  ☆12Updated 3 years ago
• GuanhaoGan / robust-model-watermarking
  official implementation of Towards Robust Model Watermark via Reducing Parametric Vulnerability
  ☆15Updated last year
• kaiwenzha / contrastive-poisoning
  [ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning
  ☆32Updated last year
• YuxinWenRick / canary-in-a-coalmine
  ☆32Updated last year
• WU-YU-TONG / computational_efficient_backdoor
  ☆12Updated last year
• lhfowl / adversarial_poisons
  ☆54Updated 4 years ago
• yfchen1994 / poisoning_membership
  ☆20Updated 2 weeks ago
• HanxunH / CognitiveDistillation
  [ICLR2023] Distilling Cognitive Backdoor Patterns within an Image
  ☆36Updated 2 weeks ago
• lafeat / apbench
  APBench: A Unified Availability Poisoning Attack and Defenses Benchmark (TMLR 08/2024)
  ☆36Updated 7 months ago
• TDteach / Demon-in-the-Variant
  ☆13Updated 4 years ago
• Zixuan-Zhu / VaB
  ☆13Updated last year
• jiangw-0 / LE_JCDP
  Unlearnable Examples Give a False Sense of Security: Piercing through Unexploitable Data with Learnable Examples
  ☆10Updated 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…
  ☆13Updated last year
• DependableSystemsLab / MIA_defense_HAMP
  Code for the paper "Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction" …
  ☆11Updated 2 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
• KuofengGao / CIBA
  [BMVC 2023] Backdoor Attack on Hash-based Image Retrieval via Clean-label Data Poisoning
  ☆17Updated 2 years ago
• Jimmy-di / camouflage-poisoning
  Camouflage poisoning via machine unlearning
  ☆17Updated 4 months ago
• RorschachChen / entangled-watermark-torch
  ☆18Updated 4 years ago