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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

  • A post on IBM’s artificial intelligence blog about trustworthy AI tools featured Siwei Lyu and the deepfake-detection algorithms designed by Lyu and his team to minimize bias. 

  • An  AFP story about an AI-generated video that falsely shows Donald Trump slamming supporters of the Philippines’ powerful Duterte family quoted Siwei Lyu. 

  • The Christian Science Monitor quoted Siwei Lyu about high-tech political attacks, such as AI-generated deepfake images and videos, that are being used against presidential candidates.

  • BoredPanda quoted Siwei Lyu in an article about an influencer who is fighting a deepfake video that shows her endorsing impotence pills. 

  • The Associated Press quoted Siwei Lyu in an article about how older adults can prepare themselves to deal with AI as it becomes more widespread. 

  • Lead Stories used the “Deep Fake-O-Meter” developed by Lyu and his team to debunk a rumor that the crowd at a Wisconsin rally for the Kamala Harris campaign was created using CGI and in another story about a similar rumor regarding the crowd at Harris’ Detroit rally.

  • Yahoo! News quoted Siwei Lyu in a report on an AI-generated video of Taylor Swift criticizing supporters of the powerful Duterte family of the Philippines. 

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
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