Business Insider reported on the FBI issued warning that says, “malicious actors almost certainly will leverage synthetic content,” such as deepfakes, “for cyber and foreign influence operations in the next 12-18 months.”
Interesting Engineering reported on “real-life mind-control technologies” and mentioned that last year UB’s Artificial Intelligence Institute received a grant to accelerate research into biometric information gathering from brain waves and eye movements — while playing a computer game.
The BBC, in a story about a mother who used explicit deepfake photos and videos to try to get her teenage daughter's cheerleading rivals kicked off the team, reports that UB computer scientists le led by Siwei Lyu have developed a tool that can identify deepfake photos by analyzing light reflections in a person's eyes.
News outlets worldwide including PC Magazine, CNET, Business Insider, Futurism, Punto Informatico (Italy) and Pro Kerala (India) reported on a new research study led by Siwei Lyu that describes a tool that spots deepfake photos by examining light reflection in the eyes.
Input, The Next Web and other tech-focused outlets reported that a team led by Siwei Lyu, SUNY Empire Innovation Professor in the Department of Computer Science and Engineering, has created a system for detecting deepfakes, or highly realistic images of people that are generated by computers and hard to discern from real faces.
TechXplore reports that on research led by Siwei Lyu, SUNY Empire Innovation Professor in the Department of Computer Science and Engineering, to develop a tool that identifies deepfake photos by analyzing light reflections in the eyes.
Newsy reported that with deepfake videos becoming much harder to detect, the Defense Department is funding researchers like Siwei Lyu, Empire Innovation Professor of Computer Science and Engineering, in what it called a high-tech arms race to outsmart media manipulators.