3 papers
cs.AI2026
Estimating Visual Attribute Effects in Advertising from Observational Data: A Deepfake-Informed Double Machine Learning Approach
Yizhi Liu, Balaji Padmanabhan, Siva Viswanathan
Digital advertising increasingly relies on visual content, yet marketers lack rigorous methods for understanding how specific visual attributes causally affect consumer engagement.…
cs.CY2025
What Exactly is a Deepfake?
Yizhi Liu, Balaji Padmanabhan, Siva Viswanathan
Deepfake technologies are often associated with deception, misinformation, and identity fraud, raising legitimate societal concerns. Yet such narratives may obscure a key insight:…
cs.CV2025
From Deception to Perception: The Surprising Benefits of Deepfakes for Detecting, Measuring, and Mitigating Bias
Yizhi Liu, Balaji Padmanabhan, Siva Viswanathan
While deepfake technologies have predominantly been criticized for potential misuse, our study demonstrates their significant potential as tools for detecting, measuring, and mitig…