🏔 Love Freedom - ❌ Block Mass Surveillance
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Updated
Aug 19, 2024 - Go
🏔 Love Freedom - ❌ Block Mass Surveillance
Fawkes, privacy preserving tool against facial recognition systems. More info at https://sandlab.cs.uchicago.edu/fawkes
AdNauseam: Fight back against advertising surveillance
A curated list of awesome responsible machine learning resources.
HElib is an open-source software library that implements homomorphic encryption. It supports the BGV scheme with bootstrapping and the Approximate Number CKKS scheme. HElib also includes optimizations for efficient homomorphic evaluation, focusing on effective use of ciphertext packing techniques and on the Gentry-Halevi-Smart optimizations.
DNS over HTTPS / DNS over Tor / DNSCrypt client, WireGuard proxifier, firewall, and connection tracker for Android.
Open source Linux distro optimized for self-hosting
Versatile framework for multi-party computation
Forget the past. Social Amnesia makes sure your social media accounts only show your posts from recent history, not from "that phase" 5 years ago.
Keep your sensitive information out of chat logs, emails, and more with encrypted secrets.
ISP Data Pollution to Protect Private Browsing History with Obfuscation
Create fake phone contacts, to do data-poisoning.
Firewall and Privatizing Proxy for Trackers, Attackers, Malware, Adware, and Spammers with Anti-Virus On-Demand and On-Access Scanning (PF, squid, privoxy, hphosts, dshield, emergingthreats, hostsfile, PAC file, clamav)
Wor is a Powershell script to harden, debloat, optimize, enhance privacy, avoid fingerprinting and improve performance on Windows 10 and 11.
Linux Guide. Learn about Linux Hardware vendors, Linux in the Cloud, Desktop Environments, Window Mangers, Linux Distributions, Linux Security, Graphics (AMD/NVIDIA/Intel ARC), and Software Apps.
User-friendly secure computation engine based on secure multi-party computation
Privacy details of SDKs for Apple Privacy Nutrition & Google Safety Section disclosure.
MPyC: Multiparty Computation in Python
The comprehensive guide for online anonymity and OpSec.
A simplified library for decentralized, privacy preserving machine learning
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