Trustworthy Document Understanding: Privacy, Unlearning, Robustness, and Explainability Call for Papers

   CFP: ICPR workshop TrustDoc 2026
   
We are pleased to invite submissions to the TrustDoc Workshop
Trustworthy Document Understanding: Privacy, Unlearning, Robustness,
and Explainability, to be held 
in conjunction with the 
28th International Conference on Pattern Recognition (ICPR 2026), 
August 17-22, 2026, 
in Lyon, France.

  ?? https://sites.google.com/view/trustdoc/home

The TrustDoc workshop aims to bring together researchers and
practitioners from document analysis, computer vision, natural
language processing, and machine learning to advance trustworthy,
robust, and explainable document intelligence systems. The workshop
focuses on addressing reliability, security, fairness, and
interpretability challenges in real-world document processing
applications.

Topics of interest include (but are not limited to):

  Robust and trustworthy document understanding
  Document forgery detection and authenticity verification
  Explainability and interpretability in document AI
  Bias, fairness, and ethical considerations in document processing
  Adversarial attacks and defenses in document analysis systems
  Multimodal document understanding (text, layout, vision)
  Large language models for document intelligence
  Benchmarking, evaluation, and datasets for trustworthiness
  Privacy-preserving document processing
  Real-world applications (e.g., finance, legal, healthcare, identity documents)

Submission Guidelines

Submissions must follow the ICPR 2026 LNCS formatting guidelines
Maximum length: 15 pages (including references)
Full papers (>6 pages) will be included in LNCS proceedings
Submissions must be original and not under review elsewhere
All papers will undergo peer review

Important Dates

  * Submission Deadline:             May 16, 2026
  * Author Notification:                 June 11, 2026
  * Camera-Ready Deadline:      June 18, 2026
  * Workshop Date:                     August 21, 2026

Submission Portal

    https://cmt3.research.microsoft.com/TrustDOC2026/


We encourage you to share this call with colleagues and students who
may be interested. We look forward to your contributions and to an
engaging discussion at TrustDoc 2026.

For more information, please visit:

  ?? https://sites.google.com/view/trustdoc/home

For inquiries, please contact:
Dr. Lei Kang (lkang@cvc.uab.es) and Prof. Dimosthenis Karatzas (dimos@cvc.uab.es)