SPAIML 2027
2nd International Workshop on Security and Privacy-Preserving AI/ML
Co-located with ACM Conference on Trustworthy and Responsible AI and Computing Systems
March 7-9, 2027 Washington DC, USA
ABOUT
The workshop focuses on the transformative potential of AI/ML technologies in addressing key challenges in security and privacy across diverse domains. In an era of increasing digitalization and interconnectedness, organizations face evolving threats, from sophisticated cyberattacks to complex data privacy concerns. Traditional methods often struggle to adapt to the dynamic nature of these challenges, particularly in scenarios requiring real-time analysis, anomaly detection, and large-scale data management. AI/ML presents a paradigm shift by enabling intelligent, scalable, and proactive approaches to security and privacy. For instance, machine learning models can detect patterns in network traffic indicative of cyberattacks, while AI-driven solutions can enable privacy-preserving data processing through federated learning or differential privacy techniques. By focusing on how AI/ML can be harnessed to safeguard sensitive data and systems across various domains, this workshop aims to advance the state of the art in security and privacy.
Accepted workshop papers will be considered for publication in the TRUST 2027 conference proceedings. Papers selected for inclusion in the proceedings may undergo an additional light review to determine their suitability for publication.
CALL FOR PAPERS
The papers of this workshop should highlight approaches, ideas, and concepts in the field of security and privacy while using AI/ML. The main outcome of the workshop is to share the current progress and new ideas in research and industry, as well as establish a community, dedicated to highlight existing and establish new AI/ML approaches improving security and privacy.
The main topics of interests include (but are not limited to):
- Intrusion Detection
- Threat Analysis, Intelligence, and Visualization
- Anomaly Detection and Behavior Analysis
- Access Control and Authentication Mechanisms
- Risk Assessment and Automated Incident Response
- Vulnerability Management and Patch Prioritization
- Regulatory and Ethical Considerations, e.g., AI Act
- Compliance with Legislations, e.g., GDPR
- Trustworthiness
- Negative Results1
We invite researchers, practitioners, and industry experts to submit original contributions addressing these topics or related areas. Join us in exploring innovative solutions and insights, and fostering discussions to shape the future of improving security and privacy with the help of AI/ML.
1 Not all research leads to fruitful results, trying new ways or methods may surpass the state of the art, but sometimes the hypothesis is not proven or the improvement is insignificant. But failure to succeed is not failure to progress and we also want to provide a platform for sharing insights, experiences, and lessons learned when conducting research in the field of security and privacy. We originally started that movement with the PerFail Workshop.
Important Dates*
| Paper Submission: | December 13, 2026 | |
| Author Notification: | January 18, 2027 | |
| Camera-ready Submission: | January 31, 2027 | |
| Workshop Date: | March 7/8/9 (TBD), 2027 |
| Paper Submission: | December 13, 2026 |
| Author Notification: | January 18, 2027 |
| Camera-ready Submission: | January 31, 2027 |
| Workshop Date: | March 7/8/9 (TBD), 2027 |
Paper Submission:
December 13, 2026
Author Notification:January 18, 2027
Camera-ready Submission:January 31, 2027
Workshop Date:
March 7/8/9 (TBD), 2027
* All dates are AoE (check it here).
SUBMISSION GUIDELINES
Papers should present topics that are within the scope of the workshop. Papers must be written in English, be prepared for double-blind review using the ACM Primary Article Template, be in PDF format, and contain 6 pages maximum (including references). Submissions must be made via the link provided below.
We expect all submissions adhere to the European Code of Conduct for Research Integrity, the Guidelines on the Responsible Use of Generative AI in Research, and ACM TRUST's policies.
Submission link: Microsoft CMT
REGISTRATION
At least one author of each accepted paper must register for the workshop. Accepted papers without a registered author will be considered a no-show and will consequently be excluded from the proceedings. The registration process must be completed on the main page of ACM TRUST.
Registration link: coming soon
