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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

  • Siwei Lyu was featured in an Agence France-Presse article about fake images of Elon Musk that suggest he is building a “robot wife.” 

  • Lead Stories used the DeepFake-o-meter developed by Siwei Lyu and his team to determine that a photo comparing former President Trump to Adolf Hitler had been digitally altered. 

  • Nature quoted Siwei Lyu in an article about how scientists are falling victim to deepfake AI video scams, with Lyu noting that scientists should be cautious when sharing media on social platforms. 

  • Lead Stories worked with UB’s Media Forensic Lab, led by Siwei Lyu, to test audio on a campaign ad featuring Kamala Harris, with Lyu finding that the audio was likely AI-generated. 

  • The Mirror featured Siwei Lyu  in an article about spotting deepfake video clips.

     

  • Yahoo!News quoted Siwei Lyu in an article about an image of the “world's largest lobster,” with Lyu pointing out that uneven sea levels and other irregularities make it likely that the photo was AI generated. 

  • AFP Fact Check quoted Siwei Lyu in an article about an AI-generated video of gold bars in the Philippine Sea, with Lyu noting that irregularities in the size of the gold bars next to the truck hinted that the video was created with AI. 

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