News
TRAILS Announces First Round of Seed Funding
The eight funded projects, totaling just over $1.5 million, will advance cutting-edge research and scholarship that spans AI design, development and governance.
Rising Stars Workshop Engages Machine Learning Community
TRAILS is a sponsor of the University of Maryland Center for Machine Learning’s 2023 Rising Stars in Machine Learning Workshop, designed to support researchers from underrepresented groups. This year’s committee included UMD’s Soheil Feizi, Hal Daumé, Marine Carpuat and Tom Goldstein.
The Inside Scoop on Watermarking and Content Authentication
UMD’s Soheil Feizi weighs in on the unreliability of existing watermarking technologies in MIT Technology Review.
Researchers Tested AI Watermarks—and Broke All of Them
UMD’s Soheil Feizi and Tom Goldstein are publishing studies detailing how easy it is to evade current methods of watermarking—and even add fake watermarks to real images.
Researchers Develop and Test AI Text-Detector Tools
UMD’s Soheil Feizi, Tom Goldstein and Furong Huang are publishing groundbreaking research on the reliability of AI text-detectors.
Detecting AI May Be Impossible. That’s a Big Problem For Teachers.
UMD’s Soheil Feizi tells The Washington Post that we should adapt our education system to not police the use of the AI models, but embrace it to help students use and learn from it.
UMD Machine Learning Experts Presenting Multiple Papers and Workshops at ICML 2022
UMD’s Hal Daumé III, Tom Goldstein and Soheil Feizi are among a mix of UMD faculty, postdocs and students presenting 18 papers and featured in 18 workshops at the 39th International Conference on Machine Learning in Baltimore.