Call Details

PrivateNLP invites quality research contributions in different formats:

• Original research papers (long and short)
• Position and opinion papers
• Posters
• System Demonstrations
• Abstracts for talks, or Discussion Panel proposals

All submissions will undergo a double-blind review process, and accepted submissions will be presented at the workshop.

Topics of interest include but are not limited to:

• Generating privacy preserving test sets
• Inference and identification attacks
• Generating Differentially private derived data
• NLP, privacy and regulatory compliance
• Private Generative Adverserial Networks
• Privacy in Active Learning and Crowdsourcing
• Privacy and Federated Learning in NLP
• User perceptions on privatized personal data
• Auditing provenance in language models
• Continual learning under privacy constraints
• NLP and summarization of privacy policies
• Ethical ramifications of AI/NLP in support of usable privacy

Submission Instructions

All submissions will be double-blind peer reviewed (with author names and affiliations removed) by the program committee and judged by their relevance to the workshop themes. All submissions must be in English, formatted according to the latest 2 column ACM SIG proceedings template.

Submitted manuscripts must be 8 pages long for full papers, and 4 pages long for short papers. Both full and short papers can have 2 additional pages for references and appendices. Extended abstracts / posters must be 2 pages. Please note that at least one of the authors of each accepted paper must register for the workshop and present the paper in-person.

Submissions should be made as a pdf file to: https://easychair.org/conferences/?conf=privatenlp20

Important Dates

• Submission Deadline: December 7, 2019 December 15, 2019
• Acceptance Notification: January 4, 2020
• Poster / extended abstract deadline: January 10, 2020
• Camera-ready versions: January 20, 2020
• Workshop: February 7, 2020