Lectures related to Adversary (cryptography)

Safe Machine Learning: Cryptographic Opportunities

Explores the intersection between machine learning and cryptography, focusing on safe machine learning through cryptographic tools and models.

Machine Learning Security

Explores machine learning security, including model stealing, altering outputs, adversarial conditions, and privacy challenges, emphasizing the importance of addressing biases in machine learning models.

Privacy-Preserving Crypto I

Introduces Secure Multiparty Computation techniques, covering theoretical frameworks, security models, and practical applications in privacy-preserving cryptography.

Cryptography Fundamentals

Delves into the core principles of cryptography, emphasizing the challenges of key management and the impact of technology advancement on security.