| Vol-2335 urn:nbn:de:0074-2335-1 Copyright © 2019 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

# PAL2019
PAL: Privacy-Enhancing Artificial Intelligence and Language Technologies

### Proceedings of the PAL: Privacy-Enhancing Artificial Intelligence and Language Technologies
As Part of the AAAI Spring Symposium Series (AAAI-SSS 2019)

### Palo Alto, USA, March 25-27, 2019.

Edited by

### Shomir Wilson *
Sepideh Ghanavati **
Kambiz Ghazinour ***
Norman Sadeh ****

* Pennsylvania State University, College of Information Sciences and Technology, University Park, Pennsylvania, USA
** University of Maine, School of Computing and Information Science, Orono, ME, USA
*** Kent State University, Department of Computer Science, Kent, OH, USA
**** Carnegie Mellon University, School of Computer Science, Pittsburgh, PA, USA

## Table of Contents

- Preface
  Shomir Wilson, Sepideh Ghanavati, Kambiz Ghazinour, Norman Sadeh

### Keynotes

- Security/Privacy Incident Management and Discovery: Opportunities for AI/HLT (keynote) 1
  Jessica Staddon
- Empowering Users to Make Privacy Decisions in Mobile Environments (keynote) 2
  Serge Egelman

### Full Papers

- Privacy-Preserving Active Learning on Sensitive Data for User Intent Classification 3-12
  Oluwaseyi Feyisetan, Thomas Drake, Borja Balle, Tom Diethe
- Value-Driven Collaborative Privacy Decision Making 13-20
  Francesca Mosca, Jose M. Such, Peter McBurney
- The Case for a GDPR-Specific Annotated Dataset of Privacy Policies (short paper) 21-23
  Matthias Gallé, Athena Christofi, Hady Elsahar
- Natural Language Processing for Mobile App Privacy Compliance 24-32
  Peter Story, Sebastian Zimmeck, Abhilasha Ravichander, Daniel Smullen, Ziqi Wang, Joel Reidenberg, N. Cameron Russell, Norman Sadeh
- Generating Artificial Data for Private Deep Learning 33-40
  Aleksei Triastcyn, Boi Faltings
- Privacy-Preserving Character Language Modelling (short paper) 41-45
  Patricia Thaine, Gerald Penn
- Quantifying the Effect of In-Domain Distributed Word Representations: A Study of Privacy Policies (short paper) 46-52
  Vinayshekhar Bannihatti Kumar, Abhilasha Ravichander, Peter Story, Norman Sadeh
- Consent Recommender System: A Case Study on LinkedIn Settings 53-60
  Rosni K V, Manish Shukla, Vijayanand Banahatti, Sachin Lodha
- Challenges in Automated Question Answering for Privacy Policies 61-68
  Abhilasha Ravichander, Alan Black, Eduard Hovy, Joel Reidenberg, N. Cameron Russell, Norman Sadeh
- Automated Extraction of Information Elements from HIPAA Privacy Policies - Can We Do Away with Annotation? (short paper) 69-73
  Richa Sharma, Vivek Joshi

### Posters - Extended Abstracts

- Anonymous Prediction of Psychosis in Social Media 74-76
  Srikanth Tadisetty, Kambiz Ghazinour
- PIVOT: Privacy-Preserving Outsourcing of Text Data for Word Embedding Against Frequency Analysis Attack 77-79
  Yanying Li, Wendy Hui Wang, Boxiang Dong
- Towards Integrating the FLG Framework with the NLP Combinatory Framework 80-82
  Amin Rabinia, Mauro Dragoni, Sepideh Ghanavati

2019-03-17: submitted by Sepideh Ghanavati, metadata incl. bibliographic data published under Creative Commons CC0
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