Workshop on Privacy in Natural Language Processing 2026 — accepted papers
Workshop on Privacy in Natural Language Processing 2026 is the 2026 edition of the Workshop on Privacy in Natural Language Processing, held in San Diego, California, July 2026 (publisher: Association for Computational Linguistics). The ACL Anthology lists 10 papers of it; our library holds 4 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.
📍 San Diego, California · 🗓 July 2026
All accepted papers (10)
- From Conventional Web Privacy to Agentic Disclosure: How Tool Schemas May Invite LLM OversharingShahriar Shayesteh, Shomir Wilson1 citation · our summary
- A Systematic Exploration of Text Decomposition and Budget Distribution in Differentially Private Text ObfuscationStephen Meisenbacher, Angelo Kleinert, Florian Matthesour summary
- Loss Masking Under the Hood: Backdoor Concealment and Private Data Memorization in LLMs ↗Tagore Rao Kosireddy, Evan Lucas
- STAMP-R: Stylometric Text Anonymization with Memory-guided Policy RewritingZhan Shi, Yefeng Yuan, Liang Cheng et al.our summary
- Safer Reasoning Traces: Measuring and Mitigating Chain-of-Thought Leakage in LLMs ↗Patrick Ahrend, Tobias Eder, Xiyang Yang et al.
- SecureLLM: Using Inference-time Compositionality to Build Secure Language Models ↗Abdulrahman Alabdulkareem, Christian Michael Arnold, Yerim Lee et al.
- The Challenge of Identifying the Origin of Black-Box Large Language Models ↗Ziqing Yang, Yixin Wu, Yun Shen et al.
Papers with our summary in our library (4)
- From Conventional Web Privacy to Agentic Disclosure: How Tool Schemas May Invite LLM OversharingWorkshop on Privacy in Natural Language ProcessingShahriar Shayesteh, Shomir Wilson2026 · 1 citation
- A Systematic Exploration of Text Decomposition and Budget Distribution in Differentially Private Text ObfuscationWorkshop on Privacy in Natural Language ProcessingStephen Meisenbacher, Angelo Kleinert, Florian Matthes2026
- STAMP-R: Stylometric Text Anonymization with Memory-guided Policy RewritingWorkshop on Privacy in Natural Language ProcessingZhan Shi, Yefeng Yuan, Liang Cheng, et al.2026
Top topics
Language models & pretraining (1)
Fields
Computer Science (4)Arts and Humanities (1)Psychology (1)Social Sciences (1)
Top authors
🧑🔬Shomir Wilson1 work here · 1 citation🧑🔬Debmalya Pal1 work here🧑🔬Florian Matthes1 work here🧑🔬Liang Cheng1 work here🧑🔬Stephen Meisenbacher1 work here🧑🔬Zhan Shi1 work here
Top institutions
🎓Pennsylvania State UniversityState College ·
United States1 work here🎓University of California San DiegoSan Diego ·
United States1 work here🏢eBaySan Jose ·
United States1 work here🎓Technical University of MunichMunich ·
Germany1 work here
This page in Markdown → https://md.research.elamur.ai/free/en/venues/privatenlp/2026/