Seminar Series: Security
UMass AI&Sec Fall 25 Seminar: Rebecca Portnoff, Safety by Design for Generative AI: Preventing Child Sexual Abuse
This talk will unpack the tangible technical and policy solutions that can be implemented to prevent and combat AI-facilitated child sexual exploitation and...
UMass AI&Sec Fall'25 Seminar: Saeed Mahloujifar, How Much Can Language Models Memorize
In this talk, I’ll unpack the conceptual and practical challenges in defining memorization, propose a new definition based on Kolmogorov complexity, and show...
Seminar | Improving the Ends and the Means: Designing AI Systems to Prevent Child Sexual Exploitation and Abuse
This talk will present the last decade of the speaker's research, technology development, and policy advocacy at the intersection of ML/AI and child safety.
CSSI-CDSAI-ISSR Joint Seminar: Incorporating AI in Social Science Research
Please save the date for this CSSI event, "Incorporating AI in Social Science Research," a joint seminar with the Center for Data Science and Artificial Int...
UMass AI&Sec Fall '25 Seminar: Tingwei Zhang, Exposing and Exploiting Vulnerabilities in Multi-Modal Representations
Tingwei Zhang is a third-year PhD student in Computer Science at Cornell Tech, advised by Professor Vitaly Shmatikov.
UMass AI&Sec Fall '25 Seminar: Matthew Wright, Towards an All-in-One Media Forensics Tool
Matthew Wright, PhD, is the Kevin O’Sullivan Professor and Chair of Cybersecurity at the Rochester Institute of Technology (RIT).
CSSI-DACSS Joint Seminar: Matthias Roesti (Brown University & University of St. Gallen)
Please save the date for this CSSI event—updated event info will be posted on http://www.cssi.umass.edu/events.
UMass AI&Sec Fall '25 Seminar: Kathrin Grosse, From Practical Machine Learning Security to AI Security Incident Reporting
Kathrin Grosse is a Research Scientist at IBM Research, Zurich, Switzerland. Her research interests focus on AI security in the industry.
UMass AI&Sec Fall'25 Seminar: Ali Naseh, Security Vulnerabilities in Generative Model Leaderboards
Generative model leaderboards have become a widely used way for developers and practitioners to discover and adopt state-of-the-art models across modalities...