Explores machine learning fundamentals and privacy risks, focusing on privacy attacks and collaborative machine learning.
Explores the historical development and legal aspects of data protection laws, international instruments, challenges of online tracking, legal bases for processing personal data, and privacy regulations.
Explores location privacy risks, defense methods, challenges, and unique location identification.
Explores the importance of privacy in democratic societies and the shared security infrastructure across individuals, industry, and governments.
Introduces Aggregate Measurement via Oblivious Shuffling and explores various topics related to privacy, data analysis, and web advertising.
