FLMSec 2026

Deadlines
NLP/CORE Unranked

FLMSec 2026

Foundations of Language Model Security: Theory, Practice, and Fundamental Limits

1797058853400Paris, FranceOfficial conference site Site reachable

FLMSec 2026 is a NeurIPS workshop focused on advancing the foundational research of language model security, aiming to shift from reactive attack-defense cycles to principled, secure-by-design systems. It explores formal frameworks, provable security, evaluation methodologies, and fundamental trade-offs between security and utility in LLMs.

Official CFP Back to deadlines Verified September 9, 2026

Paper fit

Contribution paths

A strong submission should clearly identify its contribution and evaluate it appropriately.

Non-archival papers

Up to 8 pages (excluding references) in the NeurIPS workshop template, submitted via OpenReview.

Research areas in scope

01

Formal frameworks and definitions for LLM security

Formal frameworks and definitions for LLM securitySecure-by-design LLM system architecturesProvable security results and impossibility results for LLM-based systemsDesign of reproducible, generalizable evaluation methodologiesThe security–utility trade-off in current and future defensesModel- and system-level attacks and defenses (prompt injection, data poisoning, jailbreaks) situated within a principled security frameworkMulti-agent security and worst-case security guaranteesMemorization and privacy in language modelsCompositional security: do component-level guarantees hold when models or agents are composed into larger systems?

Policies worth checking twice

  • Submissions must be non-archival and not previously published.
  • Authors with a personal conflict of interest with any organizer are not permitted to submit.
  • Reviewing is double-blind: all submissions must be anonymized, including code, data, and supplementary materials.
  • External links (e.g., to code or data) must not reveal author identities.
  • Acknowledgments must be removed at submission time.
  • Self-citations must be anonymized (e.g., 'In the previous work of Jha et al. [1]...').
  • Submissions must follow NeurIPS conflict-of-interest policies and submission guidelines.

Official sources

Compiled from the official call for papers. The organizers’ pages remain authoritative.

Last verified September 9, 2026