Stars
Spartan: High-speed zkSNARKs without trusted setup
Master programming by recreating your favorite technologies from scratch.
Machine Learning Techniques for Hardware Trojan Detection
A PyTorch implementation of of E-GraphSAGE.
Python package for hypergraph analysis and visualization.
Pytorch implementation of paper 'GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks' to appear on WSDM2021
Source code for LDPTrace: Locally Differentially Private Trajectory Synthesis. VLDB 2023.
The BusTub Relational Database Management System (Educational)
Nimfa: Nonnegative matrix factorization in Python
BPR, Bayesian Personalized Ranking (BPR), extremely convenient BPR & Multiple Pairwise Ranking
UNIX-like reverse engineering framework and command-line toolset
A curated list of awesome Go frameworks, libraries and software
🗣️ Tool to generate adversarial text examples and test machine learning models against them
Robust evasion attacks against neural network to find adversarial examples
A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explana…
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning mode…
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
An adversarial example library for constructing attacks, building defenses, and benchmarking both