IEEE Conference on Secure and Trustworthy Machine Learning 2025

Welcome to the IEEE Conference on Secure and Trustworthy Machine Learning 2025, where we delve into the critical exploration of vulnerabilities in machine learning systems and the robustness of algorithms. This conference serves as a platform to build a community that prioritizes trustworthy machine learning practices.

The conference covers a wide array of topics, including novel attacks and defenses in ML, secure machine learning practices, verification of algorithms and systems, and forensic analysis. We invite participants to contribute through research papers, systematization of knowledge papers, position papers, and proposals for competition tracks.

This event promises to be a cornerstone for those looking to engage in meaningful discussions and advancements in making machine learning systems more secure and reliable.

Highlights

• Financial Services Evolution

  Evolution of Financial Services

• Technology Focus

  Latest Advisor Technology

• Industry Insights

  Industry Leaders' Insights

• Future Outlook

  Future of Financial Planning