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Official repository for the paper "How to Steer Your Adversary: Targeted and Efficient Model Stealing Defenses with Gradient Redirection"
Unofficial PyTorch implementation of Anti Distillation Backdoor Attacks(MM '21)
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
TrojanZoo provides a universal pytorch platform to conduct security researches (especially backdoor attacks/defenses) of image classification in deep learning.
A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
A library of extension and helper modules for Python's data analysis and machine learning libraries.
A list of backdoor learning resources
A curated list of adversarial attacks and defenses papers on graph-structured data.
Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks (ICML 2023)
Training PyTorch models with differential privacy
Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
Graph Neural Network Library for PyTorch
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
Perform data science on data that remains in someone else's server
A comprehensive list of Awesome Contrastive Learning Papers&Codes.Research include, but are not limited to: CV, NLP, Audio, Video, Multimodal, Graph, Language, etc.
Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.
Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018
Code for "Transformer Networks for Trajectory Forecasting"
Google Research
An Open Source Machine Learning Framework for Everyone
High-performance Non-negative Matrix Factorizations (NMF) - Python/C++
The world’s fastest framework for building websites.
RSTutorials: A Curated List of Must-read Papers on Recommender System.
Repository for collection of research papers on privacy.