CASA Distinguished Lectures

"Learning from the People: From Normative to Descriptive Solutions to Problems in Security, Privacy & Machine Learning"

"Who's Calling? Characterizing and Addressing Telephone Network Abuse"

"Intriguing Properties of Adversarial ML Attacks in the Problem Space"

"Property Driven Hardware Security"

"Extraction of Complex DNN Models: Real Threat or Boogeyman?"

"We Need A Discipline of Cyber Public Health"

Understanding and Mitigating Technology-Enabled Misinformation: Present and Future

tba.

Attacks on ECDSA with nonce leakage: recent progress and perspectives

"Learning the Language of Failure"

Wild Patterns: Ten Years after the Rise of Adversarial Machine Learning

On deck functions

Security Testing Hard to Reach Code

Toward a Quantum-Safe Future

From hash-function security in a post-quantum world to SPHINCS+

Post-quantum crypto on embedded microcontrollers

Sorting integer arrays: security, speed, and verification

A human-centered approach to the secure application of cryptography

Trapdoor Hash Functions and their Applications

Transient Execution Attacks

Strong network anonymity with mixnets

Expressive, Robust and Accountable Machine Learning for Real-world Data

When Good Components Go Bad: Formally Secure Compilation Despite Dynamic Compromise

A User-Centric Approach to Securing the HTTPS Ecosystem