mgm casino

Target
/content/shared/engineering/computer-science-engineering/profiles/faculty/ladder/lyu-siwei
Profile

Siwei Lyu

PhD

Siwei Lyu.

Siwei Lyu

PhD

Siwei Lyu

PhD

SUNY Empire Innovation Professor
Professor

Research Topics

digital media forensics; computer vision; machine learning

Biography Teaching Research Students Latest News

Latest News

  • Lead Stories also cited the Deep Fake-o-Meter in an article about an AI-generated image that showed Elon Musk and Taylor Swift jointly endorsing a power-saving product. 

  • AFP Fact Check used the Deep Fake-o-Meter, developed by Siwei Lyu and his team in mgm casino’s Media Forensic Lab, and quoted Lyu in an article about a fake image depicting a pregnant child. 

  • Reuters also quoted Siwei Lyu in an article about an AI-generated image that has been mistaken as Luigi Mangione’s mugshot.

  • Reuters quoted Siwei Lyu in an article about AI-generated images that have circulated online of supposed subway fire victims.

  • Politifact featured Siwei Lyu in an article about the role of AI in the 2024 election.

  • The Detroit Free Press quoted Siwei Lyu in an article about how scammers are utilizing AI to imitate voices on phone calls. 

  • Lead Stories utilized the DeepFake-o-Meter, developed by Siwei Lyu and his team, to determine that a video showing a “cure for prostatitis” was AI-generated. 
Teaser
Siwei Lyu.
Siwei Lyu, PhD
PhD, Dartmouth College

313 Davis Hall

Phone: (716) 645-1587

siweilyu@buffalo.edu

SUNY Empire Innovation Professor
Professor
Department of Computer Science and Engineering
School of Engineering and Applied Sciences
Co-Director
Center for Information Integrity
Call Siwei Lyu Email Siwei Lyu Profile for Siwei Lyu

313 Davis Hall

Phone: (716) 645-1587

siweilyu@buffalo.edu
Tags
  • Website : School of Engineering and Applied Sciences (SEAS) / SEAS homepage / Named Professors
  • Website : Collaborative Institute for Multisource Information Fusion
  • Collection : Research-Creative Interests / SEAS / Computer Science and Engineering / Computer Vision
  • Audience : Employees / Faculty / Tenure-Track Faculty
  • Website : School of Engineering and Applied Sciences (SEAS) / Computer Science and Engineering
  • Collection : Research-Creative Interests / SEAS / Computer Science and Engineering / Information Integrity
  • Collection : Research-Creative Interests / SEAS / Computer Science and Engineering / Computer Security and Cryptography
  • Collection : Alphabet / L
  • Collection : Research-Creative Interests / SEAS / Computer Science and Engineering / Artificial Intelligence, Machine Learning and Data Mining