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Quantized Neural Networks (QNNs) on PYNQ
Given the variety and impending ubiquity of Android devices along with the wide range of crimes that can involve these systems as a source of evidence, the DFRWS has created two scenarios for the forensics challenge in 2011. The data included flash-memory storage of two Android mobile devices for reconstruction and analysis of evidence.
Project for ECE209AS Winter 2020
Faker is a Python package that generates fake data for you.
Anonymisation of Sensitive Data in Public Documents
homomorphic encryption
This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for accurate binary neural networks.
course materials and references for its452
Anonymization methods for network security.
An Open-Source Library for Training Binarized Neural Networks
LSTMS for Predictive Maintenance
Perform multi-party computation on machine learning applications
Practical Multi-party Private Set Intersection from Symmetric-Key Techniques[ACM CCS 2017]
Privacy Protection Application (PPA): Code and instructions for building two tools for processing vehicle trip, or trajectory, data to protect driver privacy by hiding potentially sensitive locations. These tools were developed to process large databases of trips generated during connected vehicle pilot studies, but they could be used on any type of moving object data defined as time-sequences of geolocations that also includes heading and speed.
Python implementation of a variance-based fingerprint-copy attack
Config files for my GitHub profile.
Synthetic Data Generation for tabular, relational and time series data.
SHEEP is a Homomorphic Encryption Evaluation Platform
A forked of Apache Spark with support for fully homomorphic encryption (for research only)
SparkFHE project demo examples
SpOT-Light: Lightweight Private Set Intersection from Sparse OT Extension (CRYPTO 2019)
Tricks for Accelerating (encrypted) Prediction As a Service
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.