Regular submission
An original or work-in-progress paper of up to four pages, excluding references and appendices.
Machine Learning/CORE Unranked
InfPriv 2026
Beyond Private Training: The New Landscape of AI Privacy
InfPriv at NeurIPS 2026 focuses on privacy beyond model training, including inference-time defenses, agentic privacy guardrails, private synthetic data, and using AI systems to enforce or verify privacy guarantees.
Key deadlines
Verified August 30, 2026Full paper
September 8, 2026
AoE
Conference timeline
Submission and decisions
Full paperKey deadline
September 8, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
NeurIPS fast track
A relevant NeurIPS 2026 submission accompanied by its reviews, metareviews, rebuttal, and discussion.
Research areas in scope
01
Post-training privacy
Privacy for agentic systemsInference-only private synthesisPrivacy in in-context learningAI for privacyPrivacy benchmarks and auditing
Policies worth checking twice
- Regular submissions use the NeurIPS template and undergo strict double-blind review.
- Fabricated references, AI-generated citations, or significant unsupported claims trigger automatic rejection.
- Fast-track submissions must append their complete NeurIPS 2026 review record.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified August 30, 2026