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Under U.S. law, marketing databases exist under almost no legal restrictions concerning accuracy, access, or confidentiality. We explore the possible (mis)use of these databases in a criminal context by conducting two experiments. First, we show how this data can be used for cybercasing by using this data to resolve the physical addresses of individuals who are likely to be on vacation. Second, we evaluate the utility of a bride to be mailing list augmented with data obtained by searching both Facebook and a bridal registry aggregator. We conclude that marketing data is not necessarily harmless and can represent a fruitful target for criminal misuse.
Mobile applications (hereafter, apps) collect a plethora of information regarding the user behavior and his device through third-party analytics libraries. However, the collection and usage of such data raised several privacy concerns, mainly because
Prior work on personalized recommendations has focused on exploiting explicit signals from user-specific queries, clicks, likes, and ratings. This paper investigates tapping into a different source of implicit signals of interests and tastes: online
We introduce Tanbih, a news aggregator with intelligent analysis tools to help readers understanding whats behind a news story. Our system displays news grouped into events and generates media profiles that show the general factuality of reporting, t
GW190412 is the first observation of a black hole binary with definitively unequal masses. GW190412s mass asymmetry, along with the measured positive effective inspiral spin, allowed for inference of a component black hole spin: the primary black hol
Model extraction increasingly attracts research attentions as keeping commercial AI models private can retain a competitive advantage. In some scenarios, AI models are trained proprietarily, where neither pre-trained models nor sufficient in-distribu