conditionWang / NTL

Related projects: ⓘ

• HanxunH / CognitiveDistillation
  [ICLR2023] Distilling Cognitive Backdoor Patterns within an Image
  ☆30Updated 2 months ago
• rkteddy / channel-Lipschitzness-based-pruning
  Source code for ECCV 2022 Poster: Data-free Backdoor Removal based on Channel Lipschitzness
  ☆28Updated last year
• conditionWang / Data_Centric_AI_IP_Protection
  This is the repository that introduces research topics related to protecting intellectual property (IP) of AI from a data-centric perspec…
  ☆21Updated 10 months ago
• jinghuichen / AWM
  Github repo for One-shot Neural Backdoor Erasing via Adversarial Weight Masking (NeurIPS 2022)
  ☆14Updated last year
• KuofengGao / ASD
  [CVPR 2023] Backdoor Defense via Adaptively Splitting Poisoned Dataset
  ☆40Updated 5 months ago
• liuyugeng / baadd
  Code for Backdoor Attacks Against Dataset Distillation
  ☆29Updated last year
• bboylyg / RNP
  Reconstructive Neuron Pruning for Backdoor Defense (ICML 2023)
  ☆25Updated 8 months ago
• SCLBD / DBD
  ☆27Updated 2 years ago
• LijieFan / AdvCL
  [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”
  ☆45Updated 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…
  ☆38Updated 2 years ago
• SonyResearch / IDEAL
  Query-Efficient Data-Free Learning from Black-Box Models
  ☆19Updated last year
• 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 …
  ☆16Updated last year
• CGCL-codes / TeCo
  The official implementation of our CVPR 2023 paper "Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consist…
  ☆19Updated last year
• AISafety-HKUST / stable_backdoor_purification
  Towards Stable Backdoor Purification through Feature Shift Tuning (NeurIPS 2023)
  ☆22Updated last month
• DingfanChen / RelaxLoss
  Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)
  ☆45Updated 2 years ago
• yigitcankaya / augmentation_mia
  The source code for ICML2021 paper When Does Data Augmentation Help With Membership Inference Attacks?
  ☆8Updated 3 years ago
• UCDvision / backdoor_transformer
  ☆27Updated 2 years ago
• kai-wen-yang / CD-VAE
  [NeurIPS 2021] "Class-Disentanglement and Applications in Adversarial Detection and Defense"
  ☆43Updated 2 years ago
• RJ-T / NIPS2022_EP_BNP
  Official Implementation of NIPS 2022 paper Pre-activation Distributions Expose Backdoor Neurons
  ☆13Updated last year
• cleverhans-lab / dataset-inference
  [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning
  ☆30Updated last year
• val-iisc / Hard-Label-Model-Stealing
  ☆27Updated 2 years ago
• PKU-ML / CFA
  ☆17Updated last year
• csdongxian / ANP_backdoor
  Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"
  ☆52Updated last year
• Jimmy-di / camouflage-poisoning
  Camouflage poisoning via machine unlearning
  ☆14Updated last year
• zhenglisec / Decision-based-MIA
  ☆19Updated 2 years ago
• zibojia / RSLAD
  This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"
  ☆37Updated 3 years ago
• jinhaoduan / SecMI
  [ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?
  ☆29Updated 2 weeks ago
• IBM / BadDiffusion
  Official repo to reproduce the paper "How to Backdoor Diffusion Models?" published at CVPR 2023
  ☆77Updated last week
• dongyp13 / memorization-AT
  ☆19Updated 2 years ago
• TouchSky-Lab / Awesome-Data-Free-Knowledge-Distillation
  Data-Free Knowledge Distillation
  ☆19Updated 2 years ago