Désanonymisation: Risks and Techniques

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Related lectures (32)

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Machine Learning and Privacy

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

Personal Devices: Security and Privacy

Explores security and privacy issues in personal electronic devices, emphasizing the importance of safeguarding Personally Identifiable Information.

Quantum Decision-Making: Neural Network Privacy

Covers the quantum decision-making model and its implications for neural network privacy and image recognition.

Homomorphic Encryption: Cloud and Aggregation

Explores homomorphic encryption for secure cloud computing and data aggregation.

World of Data: Privacy Regulation

Discusses the importance of privacy, market mechanisms in smartphone apps, the privacy paradox, and the impact of GDPR.

Location Privacy

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

Abusive Data Collection: Risks and Protections

Explores risks of abusive data collection, protections like Differential Privacy, Hashing, and Encryption, and techniques for data protection.

Location Privacy

Explores the challenges of protecting location privacy and various techniques to mitigate location-related inferences, highlighting the importance of trust assumptions and practical issues.

De-anonymization: The Risks of Anonymized Data

Discusses the risks of sharing supposedly anonymous data and the techniques to protect sensitive information.

Privacy-preserving data publishing

Explores privacy risks in data publishing, failed de-identification attempts, and the use of synthetic data for privacy protection.