PrivateNLP 2026 - Seventh Workshop on Privacy in Natural Language Processing (at ACL 2026) (PrivateNLP)

ACL workshop on privacy in natural language processing and privacy-preserving language technologies. It invites original contributions on differential privacy, privacy-preserving NLP, membership inference, federated learning, machine unlearning, memorisation in language models, text anonymisation. Submissions may take the form of full research papers, extended abstracts and poster presentations reporting theoretical, computational and experimental work, as well as industrial case studies and applications. The meeting brings together researchers, engineers, industry practitioners and students to exchange recent results and discuss emerging directions in the field. Accepted papers are published in the conference proceedings (Association for Computational Linguistics).