Research
Research Labs
  • All Research Labs
  • Spatial Intelligence
  • Applied Research
  • Autonomous Systems and Physical AI
  • NVIDIA Cosmos Lab
Publications
AI Playground
  • New and Featured
  • AI Art Gallery
  • NGC Demos
Research Areas
  • AI & Machine Learning
  • 3D Deep Learning
  • Computer Vision
  • Robotics
  • All Areas
Careers
  • Academic Collaborations
  • Government Collaborations
  • Graduate Fellowship
  • Internships
  • Research Openings
  • Research Scientists
  • Meet the Team
Licensing
Skip to main content
Artificial Intelligence Computing Leadership from NVIDIA
  • Login
Research
Research Labs
  • All Research Labs
  • Spatial Intelligence
  • Applied Research
  • Autonomous Systems and Physical AI
  • NVIDIA Cosmos Lab
Publications
AI Playground
  • New and Featured
  • AI Art Gallery
  • NGC Demos
Research Areas
  • AI & Machine Learning
  • 3D Deep Learning
  • Computer Vision
  • Robotics
  • All Areas
Careers
  • Academic Collaborations
  • Government Collaborations
  • Graduate Fellowship
  • Internships
  • Research Openings
  • Research Scientists
  • Meet the Team
Licensing
Enter the terms you wish to search for.

Rich Harang

Rich Harang

Rich Harang is a distinguished security architect at NVIDIA, specializing in ML/AI systems, with over a decade of experience at the intersection of computer security, machine learning, and privacy. He received his PhD in Statistics from the University of California, Santa Barbara in 2010. Before joining NVIDIA, he led the Algorithms Research team at Duo, led research on using machine learning models to detect malicious software, scripts, and web content at Sophos AI, and worked as a Team Lead at the US Army Research Laboratory. His research interests include adversarial machine learning, addressing bias and uncertainty in machine learning, and ways to use machine learning to support human analysis. Richard’s work has been presented at USENIX, BlackHat, IEEE S&P workshops, and DEF CON AI Village, among others, and has also been featured in The Register and KrebsOnSecurity.

Posts

Oct 5, 2026

Assume Misalignment: Securing AI Agents Beyond Prompt Injection

Copyright © 2026 NVIDIA Corporation | Privacy Policy | Your Privacy Choices | Terms of Service | Accessibility | Corporate Policies | Contact