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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

  • Agence France-Presse quoted Siwei Lyu in a fact-check article about a fake clip that appears to show a BBC reporter using an expletive to describe the Oval Office meeting between Ukrainian President Volodymyr Zelensky and President Trump.

  • Agence France-Presse quoted Siwei Lyu in an article about fake audio depicting Secretary of State Marco Rubio discussing Ukraine. 

  • Agence France-Presse quoted Siwei Lyu in an article about an AI-generated image of a Polish village.

  • Reuters quoted Siwei Lyu in an article about a digitally altered image showing an armed ambush in a U.K. hospital.

  • Agence France-Presse and RTL Today quoted Siwei Lyu in an article about a fake Time Magazine cover depicting sweatshop conditions at the Chinese AI company DeepSeek. 

  • Agence France-Presse quoted Siwei Lyu in another fact-checking article about a fake photo depicting the startup team of Chinese AI company DeepSeek. 

  • Agence France-Presse quoted Siwei Lyu in a fact-checking article about a fake image of firefighters praying during the recent Los Angeles wildfires. 
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
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  • Website : School of Engineering and Applied Sciences (SEAS) / SEAS homepage / Named Professors
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  • 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
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  • Collection : Research-Creative Interests / SEAS / Computer Science and Engineering / Artificial Intelligence, Machine Learning and Data Mining