Privacy-preserving Data Mining in Industry: Practical Challenges and Lessons Learned
Preserving privacy of users is a key requirement of web-scale data mining applications and systems such as web search, recommender systems, crowdsourced platforms, and analytics applications, and has witnessed a renewed focus in light of recent data breaches and new regulations such as GDPR. In this tutorial, we will first present an overview of privacy breaches over the last two decades and the l
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Fairness, privacy, and transparency by design in AI/ML systems
