Final Call for papers

Final Call for Papers: The Seventh Workshop on Privacy in Natural Language Processing (PrivateNLP) co-located with ACL 2026, San Diego, July 2-7, 2026 Submission deadline extension Website: https://sites.google.com/view/privatenlp2026/ PrivateNLP invites quality research contributions in different formats: Original research papers (long and short) Position and opinion papers 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 Data extraction attacks on NLP systems (e.g. membership inference attacks) Differential privacy for NLP models and data 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 for studying privacy policies and other texts about privacy Ethical ramifications of AI/NLP in support of usable privacy Homomorphic encryption for language models Machine unlearning methods for language models Auditing privacy-preserving methods applied to NLP models and data Memorization of private information by language models

Important Dates

Submission deadline: Extended to March 19, 2026 Fast-track submission deadline: March 24, 2026 Acceptance notification: April 28, 2026 Camera-ready versions: May 12, 2026 Submission deadline for presenting findings papers: May 28, 2026 Workshop: July 2 or 3, 2026

All deadlines 23:59 Anywhere on Earth

Submission Instructions

Two types of submissions are invited: full papers and short papers. Please follow the ACL submission policies. 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.

We also ask authors to include a limitation section and broader impact statement, following guidelines from the main conference.

We will be using OpenReview for submissions:

https://openreview.net/group?id=aclweb.org/ACL/2026/Workshop/PrivateNLP

Please note OpenReview's moderation policy for newly created profiles: New profiles created without an institutional email will go through a moderation process that can take up to two weeks. New profiles created with an institutional email will be activated automatically.

No anonymity period will be required for papers submitted to the workshop, per the latest updates to the ACL anonymity policy. However, submissions must still remain fully anonymized.

Fast-Track Submission

If your paper has been reviewed by ACL, EMNLP, EACL, or ARR and the average rating is higher than 2.5 (either average soundness or excitement score), the paper is qualified to be submitted to the fast-track. In the appendix, please include the reviews and a short statement discussing what parts of the paper have been revised.

Link to fast-track submissions: Link TBD Please upload the following 3 documents in a single ZIP file: ARR reviews (including discussions and the meta-review) as a single PDF (e.g. printing the review webpage to PDF) The submitted anonymous paper as PDF A plain text file with the corresponding author's name and contact email

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 the 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.

Workshop organizers

Ivan Habernal (ruhr-uni-bochum.de) Sepideh Ghanavati (maine.edu) Sara Haghighi (maine.edu) Krithika Ramesh (jhu.edu) Timour Igamberdiev (univie.ac.at) Shomir Wilson (psu.edu)

Contact privatenlp26-orga@lists.ruhr-uni-bochum.de