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    • Python
      MIT License
      0300Updated Nov 20, 2024Nov 20, 2024
    • Python
      0100Updated Apr 30, 2024Apr 30, 2024
    • An adversarial example library for constructing attacks, building defenses, and benchmarking both
      Jupyter Notebook
      MIT License
      1.4k6.2k3015Updated Apr 10, 2024Apr 10, 2024
    • Python
      MIT License
      0000Updated Feb 7, 2024Feb 7, 2024
    • Code for the differential learning algorithms for soft and discrete prompts.
      Python
      MIT License
      1100Updated Nov 14, 2023Nov 14, 2023
    • Python
      MIT License
      3616550Updated Sep 22, 2023Sep 22, 2023
    • DeCaPH

      Public
      Python
      0700Updated Sep 11, 2023Sep 11, 2023
    • Python
      3510Updated May 4, 2023May 4, 2023
    • Java
      0000Updated May 3, 2023May 3, 2023
    • Python
      MIT License
      21500Updated Mar 20, 2023Mar 20, 2023
    • HTML
      0000Updated Feb 17, 2023Feb 17, 2023
    • sc-nntd

      Public
      0000Updated Feb 1, 2023Feb 1, 2023
    • New privacy-preserving mechanisms for multi-label classification.
      Python
      MIT License
      0100Updated Dec 9, 2022Dec 9, 2022
    • Python
      1000Updated Oct 27, 2022Oct 27, 2022
    • Official implementation of Washing The Unwashable : On The (Im)possibility of Fairwashing Detection, NeurIPS 2022
      Python
      1400Updated Oct 25, 2022Oct 25, 2022
    • [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning
      Jupyter Notebook
      93100Updated Oct 10, 2022Oct 10, 2022
    • Python
      0110Updated Sep 20, 2022Sep 20, 2022
    • Forging

      Public
      Jupyter Notebook
      0100Updated Aug 25, 2022Aug 25, 2022
    • capc-demo

      Public
      capc-demo
      Jupyter Notebook
      2400Updated Jul 24, 2022Jul 24, 2022
    • Python
      MIT License
      51310Updated Jul 11, 2022Jul 11, 2022
    • On the Difficulty of Defending Self-Supervised Learning against Model Extraction
      Python
      MIT License
      0500Updated Jun 27, 2022Jun 27, 2022
    • 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
      Python
      Apache License 2.0
      27k200Updated May 16, 2022May 16, 2022
    • capc-iclr

      Public
      CaPC is a method that enables collaborating parties to improve their own local heterogeneous machine learning models in a setting where both confidentiality and privacy need to be preserved to prevent explicit and implicit sharing of private data.
      Python
      MIT License
      62600Updated Mar 16, 2022Mar 16, 2022
    • Python
      1600Updated Mar 14, 2022Mar 14, 2022
    • code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22
      Python
      MIT License
      22200Updated Mar 13, 2022Mar 13, 2022
    • Self-Adaptive Traning for Selective Classification.
      Python
      MIT License
      4000Updated Jan 5, 2022Jan 5, 2022
    • CaPC with privacy only and without private inference.
      Python
      0000Updated Nov 10, 2021Nov 10, 2021
    • Python
      114501Updated Oct 19, 2021Oct 19, 2021
    • Python
      104430Updated Feb 27, 2021Feb 27, 2021
    • Python
      1500Updated Jan 27, 2021Jan 27, 2021