Search Results for author: Huseyin Inan

Found 2 papers, 0 papers with code

Privacy Regularization: Joint Privacy-Utility Optimization in LanguageModels

no code implementations NAACL 2021 FatemehSadat Mireshghallah, Huseyin Inan, Marcello Hasegawa, Victor R{\"u}hle, Taylor Berg-Kirkpatrick, Robert Sim

In this work, we introduce two privacy-preserving regularization methods for training language models that enable joint optimization of utility and privacy through (1) the use of a discriminator and (2) the inclusion of a novel triplet-loss term.

Memorization Privacy Preserving

On Privacy and Confidentiality of Communications in Organizational Graphs

no code implementations27 May 2021 Masoumeh Shafieinejad, Huseyin Inan, Marcello Hasegawa, Robert Sim

We propose a model that captures the correlation in the social network graph, and incorporates this correlation in the privacy calculations through Pufferfish privacy principles.

Language Modelling

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