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Machine Learning Security
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Related lectures (32)
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Data Protection Laws in Switzerland
Covers Swiss data protection laws, including the Federal Data Protection Act and the roles defined in the legislation.
Privacy Sphere and Data Protection
Covers privacy sphere, data protection, risks of data misuse, laws, and real-world breach cases.
Cloud and Aggregation: Security and Privacy
Explores cloud computing, data aggregation, security risks, privacy defenses, and data protection techniques.
Privacy-preserving data publishing: K-anonymity and l-Diversity
Explores K-anonymity, l-Diversity, and data de-identification challenges, using real-life examples and discussing Airbnb's privacy efforts.
Big Data: Processing and Dimensions
Explores Big Data generation, storage, processing, and dimensions, along with challenges in data analytics, cloud computing elasticity, and security.
Legal Aspects: Real-Time Bidding
Delves into the legal aspects of real-time bidding in online advertising, focusing on data protection laws, consent management challenges, and recent legal implications.
How to Ensure Privacy in IoT Domain
Discusses Defense in Depth and various strategies for ensuring privacy in IoT networks.
Machine Learning and Privacy
Delves into Differential Privacy trade-offs, disparate impact, and machine learning-based privacy attacks.
World of Data: Privacy Regulation
Discusses the importance of privacy, market mechanisms in smartphone apps, the privacy paradox, and the impact of GDPR.
Data Security and Privacy: Practical Exercises and Concepts
Covers encryption, data protection, and blockchain technology, with hands-on exercises for practical application.