2 papers
cs.CR2026
Decoding the Legalese: A Scalable and Quantitative Framework for Analyzing Corporate Privacy Policies
Jiaming Tang, Chenlan Wang, Mingyan Liu +1
Even though privacy policies are the primary mechanism organizations use to disclose how they collect, process, and share personal data, they are difficult for average users to int…
cs.LG2024
DCRMTA: Deep Causal Representation Learning for Multi-Touch Attribution
Jiaming Tang, Jingxuan Wen, Liping Jing
Multi-touch attribution (MTA) is essential for estimating the contribution of individual advertising touchpoints to user conversions. While recent studies incorporate causal infere…