Final Call For Papers

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:

• • Privacy preserving machine learning for language models

  • Generating privacy preserving test sets

  • Inference and identification attacks

  • Generating Differentially private derived data

  • NLP, privacy and regulatory compliance

  • Private Generative Adversarial 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

  • Homomorphic encryption for language models

Important Dates

• Extended Submission Deadline: May 30, 2024 

• Acceptance Notification: June 17, 2024 (extended to June 22)

• Camera-ready versions: July 1, 2024

• Workshop: August 15, 2024

Submission Instructions

Two types of submissions are invited: full papers and short papers. 

• Full papers should not exceed eight (8) pages of text, plus unlimited references. Final versions of full papers will be given one additional page of content (up to 9 pages) so that reviewers' comments can be taken into account. 

• Short papers may consist of up to four (4) pages of content, plus unlimited references. Upon acceptance, short papers will still be given up to five (5) content pages in the proceedings.

See the guidelines here: 

Long papers: https://aclrollingreview.org/cfp#long-papers 

Short papers: https://aclrollingreview.org/cfp#short-papers

We will be using OpenReview for submissions: https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/PrivateNLP

Dual submission policy

In addition to previously unpublished work, we invite papers on relevant topics which have been submitted to alternative venues (such as other NLP or ML conferences). Please follow double-submission policy from ACL. Accepted cross-submissions will be presented as posters, with an indication of the original venue. Selection of cross-submissions will be determined solely by the organizing committee.

Non-Archival option

There are no formatting or page restrictions for non-archival submissions. The accepted papers to the non-archival track will be displayed on the workshop website, but will NOT be included in the workshop proceedings or otherwise archived.