Fideslang (fee-dez-lΓ¦Εg, from the Latin term "FidΔs" + "language") is a proposed model for a human-readable "taxonomy" of privacy-related data types, behaviors, and usages. Fideslang hopes to develop an interoperable community standard for building privacy regulation compliance into the typical software development process.
Data Minimisation: a Language-Based Approach (Long Version)
Data minimisation is a privacy-enhancing principle considered as one of the pillars of personal data regulations. This principle dictates that personal data collected should be no more than...
Data Minimisation in Communication Protocols: A Formal Analysis...
With the growing amount of personal information exchanged over the Internet, privacy is becoming more and more a concern for users. One of the key principles in protecting privacy is data...
Customer Commons
We are planning to release more agreements as we approach the finalization of the IEEE P7012 Standard for Machine Readable Personal Privacy Terms . This initiative is currently has a demo #NoStalking, and we encourage your participation and feedback to help shape its development.
Playing with Parlances - Permissioned Data & AT Protocol - AT-WayFinding
Community privacy is one of our top priorities at @transrights.northsky.social which isn't possible out of the box with any ATproto implementation today that doesn't just hide an entire PDS. We're developing in the open and so I've published a proposal on it, feedback as always is we
Ursula von der Leyen (@vonderleyen.ec.europa.eu)
Warm Welcome to all followers on W π User friendly π Open source AT Protocol π Privacy preserving π§βπ€βπ§ Humans only / No bots And πͺπΊ European!
siyuan-note/siyuan
A privacy-first, self-hosted, fully open source personal knowledge management software, written in typescript and golang.
DuckDuckGo - Protection. Privacy. Peace of mind.
The Internet privacy company that empowers you to seamlessly take control of your personal information online, without any tradeoffs.
GDPR - A Practical Guide For Developers - Bozho's tech blog
Youβve probably heard about GDPR. The new European data protection regulation that applies practically to everyone. Especially if you are working in a big company, itβs most likely that thereβsContinue reading
Privacy Principles
Privacy is an essential part of the web. This document provides definitions for privacy and related concepts that are applicable worldwide as well as a set of privacy principles that should guide the development of the web as a trustworthy platform. People using the web would benefit from a stronger relationship between technology and policy, and this document is written to work with both.
Privacy Principles
Privacy is an essential part of the web. This document provides definitions for privacy and related concepts that are applicable worldwide as well as a set of privacy principles that should guide the development of the web as a trustworthy platform. People using the web would benefit from a stronger relationship between technology and policy, and this document is written to work with both.
Four Functional Quadrants for Trust & Safety Tools: Detection, Investigation, Review & Enforcement (DIRE) <div> <br> </div>
Public discourse and regulatory debates about online trust and safety have long been dominated by a focus on rules, not tools: preoccupied mostly by the questio
Blog | Lexicon Community | Offprint
A working group that stewards a shared namespace for AT Protocol schemas: built in the open, governed collectively, and free for anyone to use.
Safety Without Compromising on Privacy
Our approach to safeguards in Tinfoil Chat that keeps your conversations private: model evaluations before hosting, plus safeguard models that run exclusively inside secure enclaves.
Privacy Architectures: Reasoning About Data Minimisation and Integrity
Privacy by design will become a legal obligation in the European Community if the Data Protection Regulation eventually gets adopted. However, taking into account privacy requirements in the design of a system is a challenging task. We propose an approach based on the specification of privacy architectures and focus on a key aspect of privacy, data minimisation, and its tension with integrity requirements. We illustrate our formal framework through a smart metering case study.
