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AI & Ethics: Business Impact
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Related lectures (49)
Privacy Engineering: Design Principles and SwissCovid Case Study
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Explores Privacy by Design principles, data minimization, trust minimization, and the SwissCovid app case study.
Privacy-preserving Data Publishing: Differential Privacy Concepts
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Explores differential privacy concepts, mechanisms, and real-world applications for privacy-preserving data publishing.
Intro & Oblivious Shuffling
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Introduces Aggregate Measurement via Oblivious Shuffling and explores various topics related to privacy, data analysis, and web advertising.
Digital Contact Tracing: The Dark Side
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Explores the challenges and vulnerabilities of digital contact tracing technology, focusing on the SwissCovid app and its implications.
Data Perturbation: Protecting Privacy in Database Systems
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Explores data perturbation for privacy protection in database systems, including aggregate reconstruction and its application in data mining.
Privacy-Preserving Data Mining
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Explores privacy-preserving data mining techniques, including k-anonymity, attacks, and differential privacy.
Technologies for Identity & Anonymity
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Explores technologies for identity and anonymity, including e-ID, social media identities, and cryptographic signatures.
Technology Innovation and Industry Evolution
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Explores technology evolution in the telco industry, focusing on digitalization, 5G, IoT, big data, and smart working.
Self-Organization: Challenges and Applications
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Explores the benefits, challenges, and applications of self-organization in various fields.
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