[prof.Simon S. Woo] DASH Lab, Two Papers Approved for Publication at the CIKM 2024 International Conference

1. IDENTIFY: Integral Radial and Spatial Fourier Analysis for AI-Generated Image Authentication (full paper)

•     Writer: Inzamamul Alam, Muhammad Shahid Muneer, and Prof. Simon S. Woo 

This study proposes a method for detecting deepfakes generated by a new generative AI (Diffusion) technique using Integral Radial and Spatial Fourier Analysis with high performance. Notably, the proposed method shows 12-28% higher performance compared to existing approaches.

IDENTIFY: Integral Radial and Spatial Fourier Analysis for AI-Generated Image Authentication, Inzamamul Alam, Muhammad Shahid Muneer, and Simon S. Woo*, 33rd ACM International Conference on Information & Knowledge Management (CIKM), Boise, Idaho, USA, October 2024

2. Deep Journey Hierarchical Attention Networks for Conversion Predictions in Digital Marketing (full paper)

   Writer: Girim Ban, Hyeonseok Yun, Banseok Lee, David Sung, and Prof. Simon S. Woo

This study proposes Deep Journey Hierarchical Attention Networks (DJHAN) to enhance user conversion prediction in digital marketing, improving key metrics such as Conversion Rate (CVR) and Return on Ad Spend (ROAS) compared to existing methods. The proposed model demonstrated high performance when applied to real marketing data from KT/NasMedia.

•  Deep Journey Hierarchical Attention Networks for Predictions in Digital Marketing
  Girim Ban, Hyeonseok Yun, Banseok Lee, David Sung, and Simon S. Woo*
  33rd ACM International Conference on Information & Knowledge Management (CIKM), Boise, Idaho, USA, October 2024