Seminar Series: Security
UMass AI&Sec SP'25 Seminar: Sahar Abdelnabi, Evaluating and Securing LLM-Agentic Networks
Abdelnabi will discuss his work on evaluating multi-agent negotiations and how that can be beneficial to test reasoning and create evolving, dynamic benchmarks.
Jonathan Ullman, Auditing Differentially Private Machine Learning
How can researchers use sensitive datasets for machine learning and statistics without compromising the privacy of the individuals who contribute their data?
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.