Trustworthy AI Implications in Cybersecurity

Join Northeastern University’s cybersecurity experts to discuss how AI has been increasingly deployed to automate decisions in critical domains. This trend raises many concerns about the security of AI models, as well as the privacy of the data used to train these models. In this panel, we will discuss security and privacy issues in traditional and generative AI systems, and the challenge of securing AI systems when used in cybersecurity applications. This free talk will be held at the Northeastern University campus in Arlington.

• Discover AI’s impact on our daily lives, and see how human behavior affects how generative AI works.
• Network with faculty and students with direct experience in cybersecurity research.
• Meet our guest speakers, and learn about the different areas of expertise within cybersecurity.
• Learn about our Align Master of Science in Cybersecurity program for people from nontechnical backgrounds. The program is offered in Arlington and Boston. No specialized knowledge or experience in computer science is required.

Featuring faculty experts

Alina Oprea
Professor

Alina Oprea is a professor at Northeastern University’s Khoury College of Computer Sciences. She joined Northeastern in 2016 after spending nine years as a research scientist at RSA Laboratories and getting her PhD from Carnegie Mellon University. Her research interests are trustworthy AI, machine learning privacy, AI-enabled cyber defense, and cloud security.

Elizabeth Hawthorne
Director of Cybersecurity—Arlington, Professor of the Practice

Elizabeth Hawthorne joined Khoury College in 2024 to collaborate with top-notch computer science and cybersecurity colleagues in the Align network, and to impact students’ career trajectories. She teaches graduate courses in cybersecurity and digital forensics and is particularly passionate about the exciting, dynamic field of cybersecurity education.

Apostol Vassilev
Research Manager at National Institute of Standards and Technology (NIST)

Apostol Vassilev is a research manager in the Computer Security Division at NIST. His group’s research agenda covers a range of trustworthy and responsible AI and cybersecurity topics, focusing on adversarial machine learning (AML), robust AI for autonomous vehicles, and novel approaches to cybersecurity testing and measurement through automated machine-based methodologies.

Questions? Please email c.smith@northeastern.edu.