Researchers Maaz Bin Musa and Rishab Nithyanand have developed ATOM, a novel, generalizable technique to infer data sharing relationships between online trackers and advertisers. Unlike prior methods, ATOM is independent of ad delivery protocols or specific artifacts, instead leveraging personalized ad creatives to detect when blocking a tracker affects an advertiser's ability to deliver targeted ads. This research aims to provide a tool for auditing compliance with privacy regulations like CCPA and GDPR, which require disclosure of data sharing partners.