Trustworthy Machine Learning and the Security Mindset is presented by Somesh Jha, the Lubar Professor in Computer Science at the University of Wisconsin. His work focuses on analysis of security protocols, survivability analysis, intrusion detection, formal methods for security, and analyzing malicious code. Recently, he has focused his interest on privacy and Adversarial Machine Learning.
This is the second of eight lectures in the Ten Years Hence Speaker Series which will focus on Artificial Intelligence: Promise and Peril. All lectures are free and open to students, faculty, staff and the public. No tickets or registration required.
Ten Years Hence is sponsored by the Eugene Clark Distinguished Lecture Series endowment.
Contact: Jean Meade