Search Results for author: Atula Tejaswi Neerkaje

Found 2 papers, 1 papers with code

How Much User Context Do We Need? Privacy by Design in Mental Health NLP Application

no code implementations5 Sep 2022 Ramit Sawhney, Atula Tejaswi Neerkaje, Ivan Habernal, Lucie Flek

Clinical NLP tasks such as mental health assessment from text, must take social constraints into account - the performance maximization must be constrained by the utmost importance of guaranteeing privacy of user data.

The Impact of Differential Privacy on Group Disparity Mitigation

1 code implementation NAACL (PrivateNLP) 2022 Victor Petrén Bach Hansen, Atula Tejaswi Neerkaje, Ramit Sawhney, Lucie Flek, Anders Søgaard

The performance cost of differential privacy has, for some applications, been shown to be higher for minority groups; fairness, conversely, has been shown to disproportionally compromise the privacy of members of such groups.

Fairness

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