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PrivateNLP - 2021
Total Papers:- 8
Total Papers accross all years:- 47
Total Citations :- 0
1
Private Text Classification with Convolutional Neural Networks
Samuel Adams |
David Melanson |
Martine De Cock |
Understanding Unintended Memorization in Language Models Under Federated Learning
Om Dipakbhai Thakkar |
Swaroop Ramaswamy |
Rajiv Mathews |
Francoise Beaufays |
An Investigation towards Differentially Private Sequence Tagging in a Federated Framework
Abhik Jana |
Chris Biemann |
A Privacy-Preserving Approach to Extraction of Personal Information through Automatic Annotation and Federated Learning
Rajitha Hathurusinghe |
Isar Nejadgholi |
Miodrag Bolic |
Learning and Evaluating a Differentially Private Pre-trained Language Model
Shlomo Hoory |
Amir Feder |
Avichai Tendler |
Alon Cohen |
Sofia Erell |
Itay Laish |
Hootan Nakhost |
Uri Stemmer |
Ayelet Benjamini |
Avinatan Hassidim |
Yossi Matias |
Proceedings of the Third Workshop on Privacy in Natural Language Processing
Oluwaseyi Feyisetan |
Sepideh Ghanavati |
Shervin Malmasi |
Patricia Thaine |
Using Confidential Data for Domain Adaptation of Neural Machine Translation
Sohyung Kim |
Arianna Bisazza |
Fatih Turkmen |
On a Utilitarian Approach to Privacy Preserving Text Generation
Zekun Xu |
Abhinav Aggarwal |
Oluwaseyi Feyisetan |
Nathanael Teissier |
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