Displaying 1 to 11 from 11 results

fawkes - Fawkes, privacy preserving tool against facial recognition systems

  •    Python

⚠️ Check out our MacOS/Windows Software on our official webpage. Fawkes is a privacy protection system developed by researchers at SANDLab, University of Chicago. For more information about the project, please refer to our project webpage. Contact us at fawkes-team@googlegroups.com.

tracker-control-android - TrackerControl: monitor and control trackers and ads.

  •    Java

Download directly here, from F-Droid, or a feature-reduced version from Google Play. TrackerControl is an Android app that allows users to monitor and control the widespread, ongoing, hidden data collection in mobile apps about user behaviour ('tracking').

hubzilla - build community websites that can interact with one another

  •    PHP

Hubzilla is a general purpose communication server integrated with a web publishing system and a decentralised permission system. If this sounds like a bunch of technical mumbo-jumbo to you, just think of it as an independent platform for sharing stuff online (publicly or privately). Hubzilla contains some social network bits, some cloud storage bits, some blog and forum bits, and some content management bits. These are all integrated within a common privacy framework - and it is all decentralised.

rethink-app - DNS over HTTPS / DNS over Tor / DNSCrypt client, firewall, and connection tracker for Android

  •    Kotlin

An OpenSnitch-inspired firewall and network monitor + a pi-hole-inspired DNS over HTTPS client with blocklists. In other words, RethinkDNS has two primary modes, DNS and Firewall. The DNS mode routes all DNS traffic generated by apps to one of two DNS over HTTPS resolvers (Cloudflare and RethinkDNS). The Firewall mode lets the user deny internet-access to entire applications based on events like screen-on / screen-off, app-foreground / app-background, connected to unmetered-connection / metered-connection / always; or based on play-store defined categories like Social, Games, Utility, Productivity; or additionally, based on user-defined blacklists.




ipmagnet - Check which IP adresses your BitTorrent client is handing out to trackers

  •    Javascript

ipMagnet allows you to quickly check what adresses your BitTorrent client is handing out to its Trackers. It does this by generating a magnet link, which when being requested by BitTorrent clients generates a database entry. The source code is freely available on http://github.com/cbdevnet/ipmagnet and is designed to be read and understood by anyone having basic knowledge of HTML, PHP and JavaScript.

listaHu - A crowdsourced platform to blacklist sms spammers and blackmailers

  •    CSS

Lista Hũ is a project that aims to create a crowdsourced database of sms spammers and blackmailers, so the numbers can be blocked in the future. Lista Hũ has an RESTful API to query the database and the dataset is released under the CC BY-NC-SA 4.0 license.

fluxfonts - A unique tool that blurs your device’s unique font fingerprint by continuously installing and uninstalling new fonts that are generated on the fly

  •    C

A unique tool that blurs your device’s unique font fingerprint by continuously installing and uninstalling new fonts that are generated on the fly.

aiwy - The amp-is-watching-you Reddit bot replaces AMP links on Reddit with their non-AMP counterparts, which is better for privacy

  •    Python

The amp-is-watching-you Reddit bot replaces AMP links on Reddit with their non-AMP counterparts, which is better for privacy. Get up to speed with the Aiwy project. Some basic Python knowledge is required.


he-toolkit - The Intel Homomorphic Encryption (HE) toolkit is the primordial vehicle for the continuous distribution of the Intel HE technological innovation to users

  •    C++

For a quick automatic setup/install, please check https://github.com/intel/he-toolkit/releases for the latest user guide. Otherwise, see below for a manual install. to disable building of certain HE libraries.

PrivacyRaven - Privacy Testing for Deep Learning

  •    Python

PrivacyRaven is a privacy testing library for deep learning systems. You can use it to determine the susceptibility of a model to different privacy attacks; evaluate privacy preserving machine learning techniques; develop novel privacy metrics and attacks; and repurpose attacks for data provenance and other use cases. PrivacyRaven supports label-only black-box model extraction, membership inference, and (soon) model inversion attacks. We also plan to include differential privacy verification, automated hyperparameter optimization, more classes of attacks, and other features; see the GitHub issues for more information. PrivacyRaven has been featured at the OpenMined Privacy Conference, Empire Hacking, and Trail of Bits blog.






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