Furong Huang - Erasing the Invisible: Riding the WAVES of Watermark Robustness

Bio:

Specializing in trustworthy machine learning, AI for sequential decision-making, and high-dimensional statistics, Furong focuses on applying theoretical principles to solve practical challenges in contemporary computing. Her research centers on creating reliable and interpretable machine learning models that operate effectively in real-world settings. She has also made significant strides in sequential decision-making, aiming to develop algorithms that optimize performance and adhere to ethical and safety standards.