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scli-csrg's Projects

bnn-pynq icon bnn-pynq

Quantized Neural Networks (QNNs) on PYNQ

dfrws2011-challenge icon dfrws2011-challenge

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.

faker icon faker

Faker is a Python package that generates fake data for you.

he icon he

homomorphic encryption

ir-net icon ir-net

This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for accurate binary neural networks.

its452 icon its452

course materials and references for its452

larq icon larq

An Open-Source Library for Training Binarized Neural Networks

mpc-learning icon mpc-learning

Perform multi-party computation on machine learning applications

multipartypsi icon multipartypsi

Practical Multi-party Private Set Intersection from Symmetric-Key Techniques[ACM CCS 2017]

privacy-protection-application icon privacy-protection-application

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.

sdv icon sdv

Synthetic Data Generation for tabular, relational and time series data.

sheep icon sheep

SHEEP is a Homomorphic Encryption Evaluation Platform

spark icon spark

A forked of Apache Spark with support for fully homomorphic encryption (for research only)

spot-psi icon spot-psi

SpOT-Light: Lightweight Private Set Intersection from Sparse OT Extension (CRYPTO 2019)

tapas icon tapas

Tricks for Accelerating (encrypted) Prediction As a Service

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