PrivateNLP 2020: The First Workshop on Privacy in NLP

Oluwaseyi Feyisetan, Sepideh Ghanavati, Patricia Thaine and Shervin Malmasi

Live Session 1: Nov 20, Live Session 1: Nov 20 (16:45-01:00 UTC)
PrivateNLP focuses on Privacy Preserving systems: differential privacy, anonymized datasets and models, GDPR compliance, and shared tasks!

Time (PDT) Event Hosts
Nov 20, (16:45-17:00 UTC)

Opening remarks

TBD
Nov 20, (17:00-18:15 UTC)

Session 1

TBD
Nov 20, (17:00-17:45 UTC)

Invited talk by Aaron Roth

TBD
Nov 20, (17:45-18:15 UTC)

On Log-Loss Scores and (No) Privacy

TBD
Nov 20, (18:30-20:15 UTC)

Session 2

TBD
Nov 20, (18:30-19:15 UTC)

Invited talk by Reza Shokri

TBD
Nov 20, (19:15-19:45 UTC)

A Differentially Private Text Perturbation Method Using Regularized Mahalanobis Metric

TBD
Nov 20, (19:45-20:15 UTC)

TextHide: Tackling Data Privacy in Language Understanding Tasks

TBD
Nov 20, (21:00-22:45 UTC)

Session 3

TBD
Nov 20, (21:00-21:45 UTC)

Invited talk by Mark Dras and Annabell McIver

TBD
Nov 20, (21:45-22:15 UTC)

Identifying and Classifying Third-party Entities in Natural Language Privacy Policies

TBD
Nov 20, (22:15-22:45 UTC)

Surfacing Privacy Settings Using Semantic Matching

TBD
Nov 20, (23:00-01:00 UTC)

Session 4

Patricia
Nov 20, (23:00-23:45 UTC)

Invited talk by Krishnaram Kenthapadi

TBD
Nov 20, (23:45-00:15 UTC)

Differentially Private Language Models Benefit from Public Pre-training

TBD
Nov 21, (00:15-00:45 UTC)

A Semantics-based Approach to Disclosure Classification in User-Generated Online Content

TBD
Nov 21, (00:45-01:00 UTC)

Closing remarks

TBD

Pre-recorded Plenary Talks


invited1

Aaron Roth


invited2

Reza Shokri


invited3

Krishnaram Kenthapadi


invited4

Annabelle McIver, Mark Dras