SeT-LLM 2026
Secure and Trustworthy Large Language Models

KDD 2026 · 9–13 August · Jeju, Republic of Korea

About the Workshop

Large Language Models (LLMs) are increasingly embedded as core components of modern data-centric systems, supporting tasks such as data exploration, analytics, decision support, and automated reasoning over large-scale and heterogeneous datasets. While recent advances have significantly expanded the capabilities of LLM-powered systems, their deployment in real open-world environments has exposed fundamental security and trustworthiness challenges.

We invite researchers and practitioners to submit papers to SeT-LLM '26, which aims to identify these emerging challenges, discuss novel solutions, and explore constructive perspectives across the full theory–algorithm–application stack, including reliability assurance and evaluation, privacy leakage and copyright protection, interpretability and plagiarism detection, secure deployment, backdoor and adversarial attacks and defenses, toxic content mitigation, and new learning and interaction paradigms for LLM-powered systems. The workshop will be held in person on KDD 2026 (9–13 August 2026) in Jeju Island, Republic of Korea.

Call for Papers

Topics of Interest

We invite submissions on topics including, but not limited to:

  1. Security: prompt injection, jailbreaks, adversarial prompting, model stealing, unsafe tool use, and robust defense mechanisms in LLM development and deployment.
  2. Trustworthy Assurance and Evaluation: benchmarks, auditing, uncertainty estimation, calibration, uncertainty estimation, and risk-sensitive evaluation methodologies.
  3. Privacy and Data Protection: memorization, privacy leakage, data governance, secure fine-tuning, and privacy-preserving inference.
  4. Robustness and Reliability: Distribution shift, long-context failure, retrieval robustness, dependable reasoning, and resilient multi-agent behavior.
  5. Alignment and Safety: Harm mitigation, policy compliance, value alignment, controllability, and safe deployment strategies.
  6. Applications and Case Studies: Healthcare, science, education, legal reasoning, public-sector use, enterprise systems, and other high-stakes settings.

Important Dates

  • Paper submission deadline 01 June 2026 (AOE)
  • Notification of decision 01 July 2026 (AOE)
  • Camera-ready submission 10 July 2026 (AOE)
  • Workshop time TBD during 9-10 August 2026 (Jeju Time, GMT+9)

Submission Information

Submission link: Papers should be submitted via this OpenReview site.

Format: Submissions should follow the ACM two-column conference proceedings format (with ACM Template available on Overleaf). Submissions are limited to 4 pages for main contents with unlimited reference and appendix pages. The accepted submissions are allowed with 1 additional page (5 pages in total for main contents) for the camera ready version.

Policies: SeT-LLM '26 follows a double-blind review process. Submitted manuscripts should be anonymized with identifying information removed. Submissions that are concurrently under review at other venues are acceptable. All accepted papers are non-archival, and will be made publicly available on the workshop website without an official proceeding.

Reviewer recruitment: If you are interested in reviewing submissions, please fill out this form.

Schedule

Time Session
09:00–09:05 Opening remarks
09:05–09:35 Invited talk I & Q&A
09:35–10:05 Invited talk II & Q&A
10:05–10:35 Contributed session I
10:35–11:05 Poster Session & Coffee break
11:05–11:35 Invited talk III & Q&A
11:35–12:00 Contributed session II
12:00–12:30 Panel discussion
12:30–12:35 Closing remarks

Invited Speakers

To be announced.

Organizers

Lu Lin
Lu Lin Penn State University
Jinghui Chen
Jinghui Chen Penn State University
Ting Wang
Ting Wang Stony Brook University
Jieyu Zhao
Jieyu Zhao USC
Chaowei Xiao
Chaowei Xiao JHU & Nvidia
Jian Kang
Jian Kang MBZUAI
Michael Johnston
Michael Johnston Amazon