Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Riley Spahn"'
Publikováno v:
IEEE Security & Privacy. 16:34-42
Today’s companies collect immense amounts of personal data and enable wide access to it within the company. This exposes the data to external hackers and privacy-transgressing employees. This study shows that, for a wide and important class of work
Publikováno v:
IEEE Symposium on Security and Privacy
Protecting vast quantities of data poses a daunting challenge for the growing number of organizations that collect, stockpile, and monetize it. The ability to distinguish data that is actually needed from data collected "just in case" would help thes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2ee281a354a5d21bfe611409ee77c63
http://arxiv.org/abs/1705.07512
http://arxiv.org/abs/1705.07512
Autor:
Yannis Spiliopolous, Riley Spahn, Roxana Geambasu, Mathias Lecuyer, Augustin Chaintreau, Daniel Hsu
Publikováno v:
ACM Conference on Computer and Communications Security
We present Sunlight, a system that detects the causes of targeting phenomena on the web -- such as personalized advertisements, recommendations, or content -- at large scale and with solid statistical confidence. Today's web is growing increasingly c
Autor:
Evan Downing, Jason A. Laska, Riley Spahn, Michael D. Iannacone, Erik M. Ferragut, John R. Goodall, Lane Harrison
Publikováno v:
IEEE VAST
Our entry into the VAST 2012 Mini Challenge 2 is a streaming visual analytic system that scores events based on anomalousness and maliciousness and presents each event to the user in a user-defined groupings in animated small-multiple views. The anom