posted by user: rieck || 158 views || tracked by 1 users: [display]

SaTML 2026 : IEEE Conference on Secure and Trustworthy Machine Learning

FacebookTwitterLinkedInGoogle

Link: https://satml.org
 
When Mar 23, 2026 - Mar 25, 2026
Where Munich, Germany
Submission Deadline Sep 24, 2025
Notification Due Dec 10, 2025
Categories    security   privacy   fairness   machine learning
 

Call For Papers

We are excited to announce the Call for Papers for the IEEE Conference on Secure and Trustworthy Machine Learning (SaTML 2026), taking place in March 2026 in Munich, Germany.

For detailed information, please visit: https://satml.org/call-for-papers

#### Areas of Interest

We invite submissions on all aspects of secure and trustworthy machine learning, focusing on security, privacy, and fairness in machine learning algorithms and systems. Topics of interest include, but are not limited to:

- Novel attacks on machine learning
- Novel defenses for machine learning
- Secure and safe machine learning in practice
- Verification of algorithms and systems
- Machine learning system security
- Privacy in machine learning
- Forensic analysis of machine learning
- Fairness and interpretability
- Trustworthy data curation

#### Submission Information

We are accepting submissions in the following categories:

- Research Papers: These papers should present new work, evidence, or ideas related to secure and trustworthy machine learning. Submissions should be up to 12 pages of body text, with unlimited additional space for references and appendices. Research papers must be well-argued and worthy of publication and​ ​citation,​ ​on​ ​one of the​ ​topics listed​ ​above.

- Systematization of Knowledge (SoK) Papers: These papers should either consolidate and clarify ideas in an established major research area within secure and trustworthy machine learning or provide compelling evidence to support or challenge long-held beliefs in such areas. Submissions should be up to 12 pages of body text. SoK papers need to have "SoK:" in their title.

- Position Papers: These papers should address broader issues and visions of secure and trustworthy machine learning, including open challenges, technical perspectives, educational aspects, societal impact, and notable research results. Submissions should be between 5 to 12 pages of body text. *Position papers need to have "Position:" in their title.*

Further details on the submission and reviewing process are available at https://satml.org/call-for-papers/

#### Important Dates

- Paper submission deadline: September 24, 2025
- Early reject notification: October 29, 2025
- Interactive author discussion: November 19–December 3, 2025
- Decision notification: December 10, 2025
- Conference dates: March 23–25, 2026

(All deadlines are set to 11:59 PM AoE - Anywhere on Earth, UTC-12).

We look forward to your submissions. For any queries, please contact us at pcchairs@satml.org.

Best regards,

Rachel Cummings & Konrad Rieck
SaTML Program Committee Chairs

Related Resources

IEEE-ACAI 2025   2025 IEEE 8th International Conference on Algorithms, Computing and Artificial Intelligence (ACAI 2025)
Ei/Scopus-CCNML 2025   2025 5th International Conference on Communications, Networking and Machine Learning (CCNML 2025)
Ei/Scopus-MLBDM 2025   2025 5th International Conference on Machine Learning and Big Data Management (MLBDM 2025)
Ei/Scopus-SGGEA 2025   2025 2nd Asia Conference on Smart Grid, Green Energy and Applications (SGGEA 2025)
Security 2025   Special Issue on Recent Advances in Security, Privacy, and Trust
AAIML 2026   IEEE--2026 International Conference on Advances in Artificial Intelligence and Machine Learning
IEEE-Ei/Scopus-PRDM 2025   2025 6th International Conference on Pattern Recognition and Data Mining (PRDM 2025)
Ei/Scopus-IPCML 2025   2025 International Conference on Image Processing, Communications and Machine Learning (IPCML 2025)
S+SSPR 2026   Joint IAPR International Workshops on Statistical Techniques in Pattern Recognition and Structural and Syntactic Pattern Recognition
SPRA 2026   SPIE--2026 6th Symposium on Pattern Recognition and Applications (SPRA 2026)