Secure-AI-Systems-Group / Qu-ANTI-zation

Related projects: ⓘ

• cleverhans-lab / dataset-inference
  [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning
  ☆30Updated last year
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  RAB: Provable Robustness Against Backdoor Attacks
  ☆39Updated 11 months ago
• ShawnXYang / AccumulativeAttack
  ☆18Updated 3 years ago
• Machine-Learning-Security-Lab / mia_prune
  Membership Inference Attacks and Defenses in Neural Network Pruning
  ☆25Updated 2 years ago
• rkteddy / channel-Lipschitzness-based-pruning
  Source code for ECCV 2022 Poster: Data-free Backdoor Removal based on Channel Lipschitzness
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• DennisLiu2022 / Membership-Inference-Attacks-by-Exploiting-Loss-Trajectory
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  [CVPR 2022] "Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free" by Tianlong Chen*, Zhenyu Zhang*, Yihua Zhang*, Shiyu C…
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  The code is for our NeurIPS 2019 paper: https://arxiv.org/abs/1910.04749
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• sunbelbd / invisible_backdoor_attacks
  ☆19Updated 2 years ago
• RJ-T / NIPS2022_EP_BNP
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  ☆11Updated 2 years ago
• MadryLab / backdoor_data_poisoning
  ☆25Updated 5 years ago
• DingfanChen / RelaxLoss
  Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)
  ☆45Updated 2 years ago
• zhenglisec / Decision-based-MIA
  ☆19Updated 2 years ago
• tribhuvanesh / prediction-poisoning
  Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)
  ☆29Updated 3 years ago
• shrezaei / MI-Attack
  ☆31Updated 2 weeks ago
• alevine0 / DPA
  Code for the paper "Deep Partition Aggregation: Provable Defenses against General Poisoning Attacks"
  ☆10Updated 2 years ago
• zlh-thu / StealingVerification
  Defending against Model Stealing via Verifying Embedded External Features
  ☆31Updated 2 years ago
• uchicago-sandlab / naturalbackdoors
  Code for identifying natural backdoors in existing image datasets.
  ☆14Updated 2 years ago
• bboylyg / RNP
  Reconstructive Neuron Pruning for Backdoor Defense (ICML 2023)
  ☆25Updated 8 months ago
• csdongxian / ANP_backdoor
  Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"
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  A minimal PyTorch implementation of Label-Consistent Backdoor Attacks
  ☆25Updated 3 years ago
• wronnyhuang / metapoison
  Craft poisoned data using MetaPoison
  ☆47Updated 3 years ago
• VITA-Group / Random-Shuffling-BackdoorDetect
  [NeurIPS 2022] "Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection without Clean Datasets" by Ruisi Cai*, Zhenyu Zh…
  ☆18Updated last year
• ganeshdg95 / Leveraging-Adversarial-Examples-to-Quantify-Membership-Information-Leakage
  ☆17Updated last year
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  Camouflage poisoning via machine unlearning
  ☆14Updated last year
• 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 …
  ☆19Updated 2 years ago
• akshaymehra24 / PoisoningCertifiedDefenses
  How Robust are Randomized Smoothing based Defenses to Data Poisoning? (CVPR 2021)
  ☆12Updated 3 years ago
• IBM / model-sanitization
  Codes for reproducing the results of the paper "Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness" published at IC…
  ☆26Updated 4 years ago