PrivateNLP 2025: Sixth Workshop on Privacy in Natural Language Processing at NAACL 2025
Second Call For Papers PrivateNLP is a full day workshop taking place on May 3 or 4, 2025 in conjunction with NAACL 2025. Workshop website: https://sites.google.com/view/privatenlp2025/ Important Dates: * [Extended] Submission Deadline: February 7, 2025 * Fast-track Submission Deadline: February 20, 2025 * Acceptance Notification: March 7, 2025 * Camera-ready versions: March 17, 2025 * Workshop: May 3 or 4, 2025 Privacy-preserving data analysis has become essential in the age of Large Language Models (LLMs) where access to vast amounts of data can provide gains over tuned algorithms. A large proportion of user-contributed data comes from natural language e.g., text transcriptions from voice assistants. The workshop aims to bring together practitioners and researchers from academia and industry to discuss the challenges and approaches to designing, building, verifying, and testing privacy preserving systems in the context of Natural Language Processing. Topics of interest include but are not limited to: * Privacy in Large 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 Submission Instructions Two types of submissions are invited: full papers and short papers. Please follow the NAACL 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/NAACL/2025/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. 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. Organizers Ivan Habernal - Ruhr-University Bochum (Germany) Sepideh Ghanavati - University of Maine (USA) Shomir Wilson - Pennsylvania State University (USA) Timour Igamberdiev - University of Vienna (Austria) Vijayanta Jain - University of Maine (USA) Contact [email protected] _______________________________________________ Corpora mailing list -- [email protected] https://list.elra.info/mailman3/postorius/lists/corpora.list.elra.info/ To unsubscribe send an email to [email protected]
