Privacy Protection: Advocacy and Challenges

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Related lectures (32)

Page 3 of 4

Explores challenges in deep learning and machine learning applications, covering surveillance, privacy, manipulation, fairness, interpretability, energy efficiency, cost, and generalization.

Privacy: Protecting Personal Data and Ensuring Anonymity

Explores risks of data exposure and strategies for defending privacy.

Désanonymisation: Risks and Techniques

Explores risks and techniques in de-anonymizing data, including flaws in methods and real-world examples of failed attempts.

Personal Devices Security: Attacks and Defenses

Explores security and privacy issues in personal electronic devices, covering attacks, defenses, and consequences.

Real-Time Bidding: Legal Aspects

Explores the legal implications of real-time bidding in online advertising, focusing on data protection and privacy concerns.

Cloud and Aggregation: Security and Privacy

Explores cloud computing, data aggregation, security risks, privacy defenses, and data protection techniques.

Location Privacy

Explores location privacy risks, defense methods, challenges, and unique location identification.

Privacy: definition

Explores the definitions, value, and challenges of privacy, including personal data and privacy properties like pseudonymity and k-anonymity.

Machine Learning and Privacy

Delves into Differential Privacy trade-offs, disparate impact, and machine learning-based privacy attacks.

Privacy: What is privacy

Delves into privacy definitions, technical concerns, PETS, GDPR, and anti-surveillance privacy.