Explores the intersection of machine learning and privacy, discussing confidentiality, attacks, differential privacy, and trade-offs in federated learning.
Explores the significance of anonymous communications in safeguarding privacy and security, covering challenges, applications, system design, and quantifying anonymity levels.
