IEEE Conference on Secure and Trustworthy Machine Learning 2025

Event Details:

• Date: 09 - 11 Apr 2025
• Time: 09:00 AM-06:00 PM (expected)
• Location: Denmark , Copenhagen
• Type: Conference

Conference exploring vulnerabilities in machine learning, robustness of algorithms, and building a trustworthy ML community. Topics include novel attacks/defenses, secure ML practices, algorithm/system verification, and forensic analysis. Seeking research papers, knowledge systematization papers, position papers, and competition track proposals.

Highlights

• Dedicated to the safety, security, and ethical concerns of machine learning systems.
• Features original research, knowledge synthesis, and critical discussions.
• Covers topics including novel attacks and defenses for machine learning, security, and privacy in learning-based systems.
• Includes forensic analysis and interpretability, trustworthy data curation, and verification of learning models.
• Keynote speakers include experts such as Michael Veale and Kamalika Chaudhuri.
• Competition track for proposals focusing on real-world problem solutions with positive societal impact.
• Single-track program with oral and poster presentations, including brief spotlight talks.
• Ensures a harassment-free experience for all attendees, following IEEE’s Code of Conduct.
• Encourages interdisciplinary collaboration and idea exchange among researchers and practitioners.
• Aims to foster a scientific community dedicated to making ML systems trustworthy and secure.

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