Awesome Data Privacy and Security 
A curated list of data privacy and security resources
Content
- Courses
- Books
- Guides and Checklists
- Tools and Libraries
- Tutorials
- Journals
- Conferences
- Related Awesome Lists
- Subreddits
- Certifications
- Miscellaneous
Courses
- PSU - Privacy in Statistical Databases (Fall 2007)
- UPENN - Data Privacy (Fall 2011)
- WUSTL - Data Security
- CMU - Privacy and Anonymity in Data
- Bilkent - Data Privacy (Spring 2016)
- PSU - Algorithmic Challenges in Data Privacy (Spring 2010)
- Weizmann Inst. - Foundations of Privacy (Fall 2015)
- Caltech - Introduction to Data Privacy (Fall 2014)
- Harvard - Mathematical Approaches to Data Privacy (Spring 2013)
- UT Austin - Theory and Practice of Secure Systems (Fall 2009)
- Udemy - Data Security
- UWaterloo - Computer Security and Privacy (Spring 2019)
- University of Vermont - Data Privacy (Fall 2019)
- University of Minnesota - The Algorithmic Foundations of Data Privacy (Fall 2018)
- Columbia - Privacy and Online Social Networks (Spring 2014)
- Georgia Tech - Cybersecurity Lecture Series
- Eindhoven University of Technology - Principles of Data Protection (Fall 2020)
Books
- The Algorithmic Foundations of Differential Privacy
- Differential Privacy: A Primer for a Non-technical Audience
- The Complexity of Differential Privacy
- Lectures on Data Security - Modern Cryptology in Theory and Practice
- Data and Goliath: The Hidden Battles to Collect Your Data and Control Your World
- The Art of Invisibility: The World's Most Famous Hacker Teaches You How to Be Safe in the Age of Big Brother and Big Data
- Permanent Record (by Edward Snowden)
- Sandworm (by Andy Greenberg)
- Privacy by Design (by Nishant Bhajaria)
Guides and Checklists
- OWASP User Privacy Protection Cheat Sheet
- Mobile privacy: a better practice guide for mobile app developers
- Securing Personal Information: A Self-Assessment Tool for Organizations
- Reasonable Security Checklist for Personal Information
- Pro Privacy: Encryption for Privacy Guide
- EFF: Surveillance Self-Defense
Tools and Libraries
Data Generation
Anonymization
- ARX - Open Source Data Anonymization Software
- UTD Anonymization Toolbox
- Amnesia
- Anonymizer
- Open Anonymizer
- µArgus
- Cornell Anonymization Toolkit
- sdcMicro
- anonymize-it
- Microsoft Presidio - Data protection and anonymization API
Differential Privacy
Machine Learning
Reporting and Analysis
GDPR
Tools related to general privacy can be found in privacy-respecting and awesome-privacy
Tutorials
- Simons Institute - Differential Privacy Tutorial
- Microsoft Research - Differential Privacy (Part 1, 2, 3, 4, 5)
- CERIAS Purdue - A Practical Beginners' Guide to Differential Privacy
- USENIX - Differential Privacy: From Theory to Deployment
Journals
- IEEE Transactions on Dependable and Secure Computing (TDSC)
- IEEE Security and Privacy Magazine
- IEEE Security & Privacy
- ACM Transactions on Privacy and Security (TOPS)
- International Journal of Information Security and Privacy(IJISP)
- Transactions on Data Privacy
- Computers and Security
- IEEE Transactions on Information Forensics and Security
- Journal of Information Security and Applications
- International Journal of Information Security
Conferences
- IEEE Symposium on Security and Privacy
- IEEE European Symposium on Security and Privacy
- Other Security Related Conferences
- Other Privacy Related Conferences
Related Awesome Lists
- awesome-cryptography
- awesome-appsec
- awesome-security
- personal-security-checklist
- awesome-web-security
- privacy-respecting
- awesome-privacy
Subreddits
Certifications
Miscellaneous
- Privacy Patterns Software engineering design solutions to privacy problems
- Data Protection Laws around the World
(e.g., Turkey, USA) - GDPR Tracker GDPR compliance of various cloud services & subprocessors
- Data Processor Agreements A collection of data processor agrements
- Privacy Incidents Database
- The new EU General Data Protection Regulation in Under 60 Minutes!
- Facebook CEO Mark Zuckerberg testimony on data privacy before Senate committee
- Data Privacy for Data Scientists