Privacy Github Topics Github

A list of Free Software network services and web applications which can be hosted on your own servers Fast and extensible multi-platform HTTP/1-2-3 web server with automatic HTTPS Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: PGVector, Faiss.

Any Files. Anyway you want. A simple, lightweight PowerShell script to remove pre-installed apps, disable telemetry, as well as perform various other changes to customize, declutter and improve your Windows experience. Win11Debloat works for both Windows 10 and Windows 11. Network-wide ads & trackers blocking DNS server To help other people find and contribute to your project, you can add topics to your repository related to your project's intended purpose, subject area, affinity groups, or other important qualities.

With topics, you can explore repositories in a particular subject area, find projects to contribute to, and discover new solutions to a specific problem. Topics appear on the main page of a repository. You can click a topic name to see related topics and a list of other repositories classified with that topic. To browse the most used topics, go to github.com/topics/. You can contribute to GitHub's set of featured topics in the github/explore repository. Repository admins can add any topics they'd like to a repository.

Helpful topics to classify a repository include the repository's intended purpose, subject area, community, or language. Additionally, GitHub analyzes public repository content and generates suggested topics that repository admins can accept or reject. Private repository content is not analyzed and does not receive topic suggestions. A simple app for discovering tools that respects your privacy. This repository is a semi-comprehensive collection of resources, tools, and recommendations to enhance your online privacy and security. Whether you want to secure your internet connection, protect your personal information, or explore privacy technologies, you’ll find valuable links and insights here.

The ultimate & full guide on how to protect your privacy online & physical. Digital security guides for activists and organizers - https://activistchecklist.org PrivacyGuides-India deals with enhancing "privacy" in a 360° surveilled country like India 🖼️ Manage facial recognition securely in your browser, keeping your biometric data private and under your control without server uploads or cloud storage. 🛡️ Secure drone flight logs and operator IDs with a locally-run blockchain-like ledger, ensuring privacy and integrity without cloud dependencies. 🛡️ Streamline your compliance process with ComplianceShield, an advanced system for effective governance, risk, and compliance management.

🛡️ Empower individuals and organizations to protect data privacy, ensure accountability, and build trust through transparent, open-source solutions. 🔐 Generate secure random values for cryptographic applications with ease and reliability using SecureRandomGen. GitHub provides developers with a practical way to distribute source code and collaboratively work on common projects. To enhance account security and privacy, GitHub allows its users to manage access permissions, review audit logs, and enable two-factor authentication. However, despite the endless effort, the platform still faces various issues related to the privacy of its users. This paper presents an empirical study delving into the GitHub ecosystem.

Our focus is on investigating the utilization of privacy settings on the platform and identifying various types of sensitive information disclosed by users. Leveraging a dataset comprising 6,132 developers, we report and analyze their activities by means of comments on pull requests. Our findings indicate an active engagement by users with the available privacy settings on GitHub. Notably, we observe the disclosure of different forms of private information within pull request comments. This observation has prompted our exploration into sensitivity detection using a large language model and BERT, to pave the way for a personalized privacy assistant. Our work provides insights into the utilization of existing privacy protection tools, such as privacy settings, along with their inherent limitations.

Essentially, we aim to advance research in this field by providing both the motivation for creating such privacy protection tools and a proposed methodology for personalizing them. In recent years, privacy in the digital world has become a major concern. Regulations like the EU General Data Protection Regulation (GDPR), the California Consumer Privacy Act (CCPA), or the UK’s Data Protection Act have been ratified to regulate the (ab-)use of sensitive data (Voigt and Von... While being undeniably valuable, it has become clear that regulations alone may not suffice to ensure robust protection of user privacy. Indeed, software platforms provide mechanisms that allow users to set their privacy preferences and that, together with regulation should offer a wider shield to user privacy. GitHub111https://github.com/ is a platform for software developers where a significant amount of professional collaboration and coding takes place.

As a matter of fact, it holds vast amounts of data that can be privacy sensitive for its users. GitHub users are first class inhabitants of the digital world and may be considered experts. However, ensuring that they are aware of the sensitivity of personal information that they leave on the platform and that they have control over who can see this data and how it’s used, is... Indeed, GitHub offers to users means to declare which pieces of personal information they are willing to make public setting this way their privacy preferences. However, this is not enough provided that in their daily activity users may leave intentionally or unintentionally breadcrumbs of personal information open to the public. In this paper, we show that diverse pieces of personal information about a specific user can be uncovered on GitHub, and this information may disclose data that are hidden in the user’s privacy settings.

In the study, we extend upon concepts introduced in previous research. In particular, we take privacy settings provided on GitHub as a declaration of intent of the user that defines their privacy profile (Inverardi et al., 2023; Migliarini et al., 2020). Our exploration focuses on determining whether these privacy settings are actively utilized by users and how. We leverage this information to compare it with the actual behaviors of users, particularly what they disclose in their comments. Our objective is to enhance our understanding of the effectiveness of privacy settings and explore any potential correlation with the users’ observable behaviors. Our research offers insights into the utilization of existing privacy protection tools, such as privacy settings, along with their inherent limitations.

Given the interest in developing privacy assistants (e.g., Liu et al. (2016)), our research supports this field by providing both the motivation for creating such privacy protection tools and a proposed methodology for personalizing them. To achieve this, we conducted an analysis of pull_request comments within a subset of GitHub users, namely the Active users (see Section 4.1), intending to identify what type of private information can be found... The choice of restricting to pull_request is motivated by previous studies in (Sajadi et al., 2023; Iyer et al., 2019) (see Section 2). Our examination yielded insights into users’ family info, moral values, workplace details, travel habits, time zones, and more. In conjunction with these findings, we present a dataset comprising both sensitive and non-sensitive comments, each manually labeled into distinct sensitive classes.

GitHub’s Information Security and Privacy Management System (ISPMS) has been certified against ISO/IEC 27701:2019 (PII Processor) and 27018:2019 standards, as well as the Cloud Controls Matrix (CCM). These standards and frameworks are internationally recognized for security and privacy program best practices. As part of GitHub’s strong commitment to developer privacy, we are excited to announce updates to our privacy agreements in line with new legal requirements and our own robust data protection practices. We’re reporting on a six-month period rather than annually to increase our level of transparency. For this report, we’ve added more granularity to our 2020 stats. As part of GitHub’s commitment to developers, we open source the policies that govern our platform and welcome feedback at any time in our site-policy repository.

When we make material… We regularly update our policies to reflect the evolution of our products, changing legal requirements, and user feedback. In this update, we’ve made some changes to our Terms of Service,… 🏔 Love Freedom - ❌ Block Mass Surveillance Fawkes, privacy preserving tool against facial recognition systems. More info at https://sandlab.cs.uchicago.edu/fawkes

Open-source tool to enforce privacy & security best-practices on Windows, macOS and Linux, because privacy is sexy Information Protection & OSINT resources | 一个关于数字隐私搜集、保护、清理集一体的方案,外加开源信息收集(OSINT)对抗 the fastest and most powerful android decompiler(native tool working without Java VM) for the APK, DEX, ODEX, OAT, JAR, AAR, and CLASS file. which supports malicious behavior detection, privacy leaking detection, vulnerability detection, path solving, packer identification, variable tracking, deobfuscation, python&java scripts, device memory ext…

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