8 citations · 13 across the 3 of their papers we have counts for
3 papers
TEM: High Utility Metric Differential Privacy on Text
Ricardo Silva Carvalho, Theodore Vasiloudis, Oluwaseyi Feyisetan
Ensuring the privacy of users whose data are used to train Natural Language Processing (NLP) models is necessary to build and maintain customer trust. Differential Privacy (DP) has…
BRR: Preserving Privacy of Text Data Efficiently on Device
Ricardo Silva Carvalho, Theodore Vasiloudis, Oluwaseyi Feyisetan
With the use of personal devices connected to the Internet for tasks such as searches and shopping becoming ubiquitous, ensuring the privacy of the users of such services has becom…
The Differentially Private Lottery Ticket Mechanism
Lovedeep Gondara, Ke Wang, Ricardo Silva Carvalho
We propose the differentially private lottery ticket mechanism (DPLTM). An end-to-end differentially private training paradigm based on the lottery ticket hypothesis. Using "high-q…