Seminar Series: Security
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 SP'25 Seminar: Javier Rando, Gradient-based Jailbreak Images for Multimodal Fusion Models
In this talk, Rando will introduce the notion of a tokenizer shortcut that approximates tokenization with a continuous function and enables continuous...
UMass AI&Sec SP'25 Seminar: Ryan McKenna (Google), Private Analytics and Learning at Google
In this talk, McKenna will give a broad overview of how they think about the many dimensions of data privacy at Google.
UMass AI&Sec Fall'25 Seminar: Benjamin Laufer, AI Ecosystems: Structure, Strategy, Risk and Regulation
The development of artificial intelligence is increasingly shaped by interactions between general-purpose model creators, downstream fine-tuners, regulators...
Seminar: Adam Bates (University of Illinois Urbana-Champaign), Don’t shout “Bingo!” Understanding (and Addressing) the Shortcomings of Enterprise Threat Detection Products
We are still awful at preventing data breaches and other cybersecurity incidents. In this talk, Adam Bates will describe our efforts to better understand...
UMass AI&Sec Fall'25 Seminar: Madiha Zahrah Choksi, Terms of Care: Designing Participatory Data Governance for Disability Communities
Madiha Zahrah Choksi is a PhD candidate in Computing and Information Science at Cornell Tech.
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 SP'25 Seminar: Anshuman Suri, White-box v/s Black-box: Privacy Auditing for Machine Learning
In this talk, Anshuman Suri will challenge these assumptions and demonstrate that optimal membership inference does require parameter access.
UMass AI&Sec SP'25 Seminar: Norman Mu (xAI), A Closer Look at System Prompt Robustness
Norman Mu is a Member of Technical Staff at xAI, focusing on AI safety. He earned his Ph.D. in Computer Science from the University of California, Berkeley...
UMass AI&Sec SP'25 Seminar: Jonas Geiping, Increasing Trust through New Benchmarks and Measuring Model Oversight
Jonas Geiping is a Research Group Leader at the ELLIS Institute Tübingen and the Max Planck Institute for Intelligent Systems.
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: Ambra Demontis (University of Cagliari), The Security of Machine Learning Against Poisoning
A historical overview of poisoning attacks that manipulate training data to compromise the performance of machine learning systems at test time, along with...