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    57 repositories

    • ai-deadlines

      Public
      ⏰ AI conference deadline countdowns
      HTML
      •1k•0•0•0•Updated Dec 21, 2019Dec 21, 2019

    • deep-leakage-from-gradients

      Public
      [NeurIPS 2019] Deep Leakage From Gradients https://arxiv.org/abs/1906.08935
      Python
      •
      MIT License
      •107•0•0•0•Updated Dec 16, 2019Dec 16, 2019

    • privacy-vs-robustness

      Public
      Privacy Risks of Securing Machine Learning Models against Adversarial Examples
      Python
      •12•0•0•0•Updated Nov 25, 2019Nov 25, 2019

    • privacy

      Public
      Library for training machine learning models with privacy for training data
      Python
      •
      Apache License 2.0
      •452•0•0•0•Updated Nov 19, 2019Nov 19, 2019

    • MemGuard

      Public
      Python
      •11•0•0•0•Updated Nov 10, 2019Nov 10, 2019

    • cyphercat

      Public
      Implementation of membership inference and model inversion attacks, extracting training data information from an ML model. Benchmarking attacks and defenses.
      Jupyter Notebook
      •
      Apache License 2.0
      •41•0•0•0•Updated Nov 2, 2019Nov 2, 2019

    • naacl2019-like-humans-visual-attacks

      Public
      Python
      •
      Apache License 2.0
      •7•0•0•0•Updated Nov 1, 2019Nov 1, 2019

    • FDF

      Public
      Python
      •13•0•0•0•Updated Nov 1, 2019Nov 1, 2019

    • DeepPrivacy

      Public
      DeepPrivacy: A Generative Adversarial Network for Face Anonymization
      Python
      •
      MIT License
      •170•0•0•0•Updated Nov 1, 2019Nov 1, 2019

    • spacy-models

      Public
      💫 Models for the spaCy Natural Language Processing (NLP) library
      Python
      •303•0•0•0•Updated Oct 31, 2019Oct 31, 2019

    • Deep-Reinforcement-Learning-Algorithms-with-PyTorch

      Public
      PyTorch implementations of deep reinforcement learning algorithms and environments
      Python
      •1.2k•0•0•0•Updated Oct 17, 2019Oct 17, 2019

    • captum

      Public
      Model interpretability and understanding for PyTorch
      Python
      •
      BSD 3-Clause "New" or "Revised" License
      •509•0•0•0•Updated Oct 13, 2019Oct 13, 2019

    • tensorflow-wavenet

      Public
      A TensorFlow implementation of DeepMind's WaveNet paper
      Python
      •
      MIT License
      •1.3k•0•0•0•Updated Oct 7, 2019Oct 7, 2019

    • flashtorch

      Public
      Visualization toolkit for neural networks in PyTorch! Demo -->
      Python
      •
      MIT License
      •87•0•0•0•Updated Sep 26, 2019Sep 26, 2019

    • interpret

      Public
      Fit interpretable models. Explain blackbox machine learning.
      C++
      •
      MIT License
      •742•0•0•0•Updated Sep 13, 2019Sep 13, 2019

    • AIX360

      Public
      Interpretability and explainability of data and machine learning models
      Python
      •
      Apache License 2.0
      •309•0•0•0•Updated Sep 10, 2019Sep 10, 2019

    • ML-Leaks

      Public
      Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"
      Python
      •18•0•0•0•Updated Sep 2, 2019Sep 2, 2019

    • advhat

      Public
      AdvHat: Real-world adversarial attack on ArcFace Face ID system
      Python
      •
      MIT License
      •83•0•0•0•Updated Aug 31, 2019Aug 31, 2019

    • secured-and-private-ai

      Public
      Implementations notebooks and scripts of secured and private ai scholarship challenge from facebook.
      Jupyter Notebook
      •
      GNU General Public License v3.0
      •1•1•0•0•Updated Aug 31, 2019Aug 31, 2019

    • DAL

      Public
      Domain agnostic learning with disentangled representations
      Python
      •28•0•0•0•Updated Aug 30, 2019Aug 30, 2019

    • deepWordBug

      Public
      Paper: "Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers", / Interactive Demo @
      Python
      •
      Apache License 2.0
      •26•0•0•0•Updated Aug 28, 2019Aug 28, 2019

    • constructed-datasets

      Public
      Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"
      23•0•0•0•Updated Aug 16, 2019Aug 16, 2019

    • Papers-of-Robust-ML

      Public
      Related papers for robust machine learning
      55•0•0•0•Updated Aug 16, 2019Aug 16, 2019

    • Adaptive-Diversity-Promoting

      Public
      Adversarial Defense for Ensemble Models (ICML 2019)
      Python
      •
      Apache License 2.0
      •12•0•0•0•Updated Aug 14, 2019Aug 14, 2019

    • Non-local_pytorch

      Public
      Implementation of Non-local Block.
      Python
      •
      Apache License 2.0
      •275•0•0•0•Updated Jul 26, 2019Jul 26, 2019

    • simple-blackbox-attack

      Public
      Code for ICML 2019 paper "Simple Black-box Adversarial Attacks"
      Python
      •
      MIT License
      •56•0•0•0•Updated Jul 24, 2019Jul 24, 2019

    • awesome-knowledge-distillation

      Public
      Awesome Knowledge Distillation
      503•0•0•0•Updated Jul 20, 2019Jul 20, 2019

    • distiller

      Public
      Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller
      Jupyter Notebook
      •
      Apache License 2.0
      •803•0•0•0•Updated Jul 10, 2019Jul 10, 2019

    • ImageNet-Adversarial-Training

      Public
      ImageNet classifier with state-of-the-art adversarial robustness
      Python
      •
      Other
      •87•0•0•0•Updated Jul 7, 2019Jul 7, 2019

    • Auto-PyTorch

      Public
      Automatic architecture search and hyperparameter optimization for PyTorch
      Python
      •
      Apache License 2.0
      •295•0•0•0•Updated Jun 27, 2019Jun 27, 2019