Source code of TBIOM2024 paper "Gender Privacy Angular Constraints for Face Recognition"
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Updated
May 10, 2024 - Python
Source code of TBIOM2024 paper "Gender Privacy Angular Constraints for Face Recognition"
A simple Python package to quickly run privacy metrics for your data. Obtain the K-anonimity, L-diversity and T-closeness to asses how anonymous your transformed data is, and how it's balanced with data usability.
TIMSE - Transparency in Multi-Service Environments
Python Privacy framework
DPLab: Benchmarking Differential Privacy Aggregation Operations
CipherEmoji is a custom emoji base-n character set with encryption. Communicate privately with emojis!
This project aims to develop a privacy-preserving federated learning framework to enhance data security, model reliability, and fair incentivization in urban sensing applications.
This repository contains the Python library for interacting with Capnion's private computation API. Together this library and the API make up Ghost PII.
Amun is a framework that achieves privacy-preserving process mining using differential privacy.
Collection of ε-differentially private algorithms and privacy attacks
Anonymous machine learning on the edge.
A Python Package for NLP obfuscation using Differential Privacy
Transform your online presence with advanced traffic obfuscation script! Seamlessly mimic diverse and legitimate browsing patterns using randomization. Protect your privacy and obscure your actual web traffic effortlessly and effectively.
Simple Split Learning setup. Proof of Concept & testbed
Master's thesis project 'Semi-automated Interactive Website Scanning for Comprehensive Privacy Analysis'
Source code for https://arxiv.org/abs/2301.10053
Chrome extension for online image privacy. Returns you your privacy on uploaded social media images, by fooling machine learning-based image classification algorithms
Bachelor's Thesis "Privacy preserving using face replacement-based image anonymisation tool"
Privkit is a privacy toolkit that provides methods for privacy analysis. It implements different data types, privacy-preserving mechanisms, attacks, and privacy/utility metrics.
Face BTP scheme based on Bloom filters and LGBPHS features
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