4 papers
LayLens: Improving Deepfake Understanding through Simplified Explanations
Abhijeet Narang, Parul Gupta, Liuyijia Su +1
This demonstration paper presents , a tool aimed to make deepfake understanding easier for users of all educational backgrounds. While prior works often rely on o…
Improving Personalized Image Generation through Social Context Feedback
Parul Gupta, Abhinav Dhall, Thanh-Toan Do
Personalized image generation, where reference images of one or more subjects are used to generate their image according to a scene description, has gathered significant interest i…
Multiverse Through Deepfakes: The MultiFakeVerse Dataset of Person-Centric Visual and Conceptual Manipulations
Parul Gupta, Shreya Ghosh, Tom Gedeon +2
The rapid advancement of GenAI technology over the past few years has significantly contributed towards highly realistic deepfake content generation. Despite ongoing efforts, the r…
Tell me Habibi, is it Real or Fake?
Kartik Kuckreja, Parul Gupta, Injy Hamed +3
Deepfake generation methods are evolving fast, making fake media harder to detect and raising serious societal concerns. Most deepfake detection and dataset creation research focus…