On Privacy and Confidentiality of Communications in Organizational Graphs

Machine learned models trained on organizational communication data, such as emails in an enterprise, carry unique risks of breaching confidentiality, even if the model is intended only for internal use. This work shows how confidentiality is distinct from privacy in an enterprise context, and aims...

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Bibliographische Detailangaben

Hauptverfasser:	Shafieinejad, Masoumeh, Inan, Huseyin, Hasegawa, Marcello, Sim, Robert
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computation and Language Computer Science - Cryptography and Security Computer Science - Learning
Online-Zugang:	Volltext bestellen
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