Edward Snowden: Whistleblower and Data Privacy Advocate

Related lectures (32)

Page 3 of 4

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

Introduces homomorphic encryption, enabling computation on encrypted data without decryption, covering security, applications, and practical aspects.

Explores key strategies for using big data analytics in managing urban infrastructures.

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

Explores the significance of privacy, risks of targeted advertising, and the concept of differential privacy.

Introduces Jupyter exercises on Differential Privacy, covering random generators, understanding data intrusion impact, and practical applications.

Discusses Defense in Depth and various strategies for ensuring privacy in IoT networks.

Explores anonymous communication systems, attribute-based credentials, the Tor network, and other privacy technologies.

Explores risks of data exposure and strategies for defending privacy.

Explores homomorphic encryption, enabling secure computations on encrypted data without data exposure, with applications in healthcare and finance.