Seminar Series: Security

Abdelnabi will discuss his work on evaluating multi-agent negotiations and how that can be beneficial to test reasoning and create evolving, dynamic benchmarks.

This presentation demonstrates how red teaming uncovers critical vulnerabilities in AI agents that challenge assumptions about safe deployment.

Ilia Shumailov is a research scientist formerly at Google DeepMind, where he focused on machine learning security and adversarial vulnerabilities.

Please save the date for this CSSI event—updated event info will be posted on http://www.cssi.umass.edu/events.

Arman Zharmagambetov is a research scientist in the Fundamental AI Research (FAIR) team at Meta. His research primarily focuses on machine learning and...

In this talk, Rando will introduce the notion of a tokenizer shortcut that approximates tokenization with a continuous function and enables continuous...

In this talk, McKenna will give a broad overview of how they think about the many dimensions of data privacy at Google.

The development of artificial intelligence is increasingly shaped by interactions between general-purpose model creators, downstream fine-tuners, regulators...

We are still awful at preventing data breaches and other cybersecurity incidents. In this talk, Adam Bates will describe our efforts to better understand...

Madiha Zahrah Choksi is a PhD candidate in Computing and Information Science at Cornell Tech.

In this talk, Anshuman Suri will challenge these assumptions and demonstrate that optimal membership inference does require parameter access.

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...