Software Engineering Institute

Nathan M. VanHoudnos

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Protecting AI from the Outside In: The Case for Coordinated Vulnerability Disclosure

February 24, 2025 • Blog Post

By Allen D. Householder , Vijay S. Sarvepalli , Jeff Havrilla , Matt Churilla , Lena Pons , Shing-hon Lau , Nathan M. VanHoudnos , Andrew Kompanek , Lauren McIlvenny

Counter AI: What Is It and What Can You Do About It?

October 7, 2024 • White Paper

By Nathan M. VanHoudnos , Carol J. Smith , Matt Churilla , Shing-hon Lau , Lauren McIlvenny , Greg Touhill

Lessons Learned in Coordinated Disclosure for Artificial Intelligence and Machine Learning Systems

August 20, 2024 • White Paper

By Allen D. Householder , Vijay S. Sarvepalli , Jeff Havrilla , Matt Churilla , Lena Pons , Shing-hon Lau , Nathan M. VanHoudnos , Andrew Kompanek , Lauren McIlvenny

A Retrospective in Engineering Large Language Models for National Security

September 29, 2023 • White Paper

By Shannon Gallagher , Andrew O. Mellinger , Jasmine Ratchford , Nick Winski , Tyler Brooks , Eric Heim , Nathan M. VanHoudnos , Swati Rallapalli , William Nichols , Bryan Brown , Angelique McDowell , Hollen Barmer

The Challenge of Adversarial Machine Learning

May 15, 2023 • Blog Post

By Matt Churilla , Nathan M. VanHoudnos , Robert W. Beveridge

More from Nathan VanHoudnos

Counter AI: What Is It and What Can You Do About It?

October 7, 2024 • White Paper

By Nathan M. VanHoudnos , Carol J. Smith , Matt Churilla , Shing-hon Lau , Lauren McIlvenny , Greg Touhill

Lessons Learned in Coordinated Disclosure for Artificial Intelligence and Machine Learning Systems

August 20, 2024 • White Paper

By Allen D. Householder , Vijay S. Sarvepalli , Jeff Havrilla , Matt Churilla , Lena Pons , Shing-hon Lau , Nathan M. VanHoudnos , Andrew Kompanek , Lauren McIlvenny

A Retrospective in Engineering Large Language Models for National Security

September 29, 2023 • White Paper

By Shannon Gallagher , Andrew O. Mellinger , Jasmine Ratchford , Nick Winski , Tyler Brooks , Eric Heim , Nathan M. VanHoudnos , Swati Rallapalli , William Nichols , Bryan Brown , Angelique McDowell , Hollen Barmer

Robust and Secure AI

June 25, 2021 • White Paper

By Hollen Barmer , Rachel Dzombak , Matt Gaston , Eric Heim , Jay Palat , Frank Redner , Tanisha Smith , Nathan M. VanHoudnos

Poster - Train, but Verify: Towards Practical AI Robustness

November 3, 2020 • Poster

By Nathan M. VanHoudnos , Jon Helland

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Protecting AI from the Outside In: The Case for Coordinated Vulnerability Disclosure

February 24, 2025 • Blog Post

By Allen D. Householder , Vijay S. Sarvepalli , Jeff Havrilla , Matt Churilla , Lena Pons , Shing-hon Lau , Nathan M. VanHoudnos , Andrew Kompanek , Lauren McIlvenny

The Challenge of Adversarial Machine Learning

May 15, 2023 • Blog Post

By Matt Churilla , Nathan M. VanHoudnos , Robert W. Beveridge

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Managing Vulnerabilities in Machine Learning and Artificial Intelligence Systems

June 10, 2021 • Podcast

By Nathan M. VanHoudnos , Jonathan Spring , Allen D. Householder

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Train but Verify: Towards Practical AI Robustness

November 5, 2021 • Video

By Nathan M. VanHoudnos

Train, but Verify: Towards Practical AI Robustness

December 15, 2020 • Video

By Nathan M. VanHoudnos , Jon Helland

Secure Your Code with AI and NLP

June 4, 2019 • Webcast

By Eliezer Kanal , Nathan M. VanHoudnos

Three Software Innovations that DoD Needs Now

May 18, 2018 • Webcast

By Jeff Boleng , Robert Schiela , Sam Procter , Lena Pons , Nathan M. VanHoudnos

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Nathan M. VanHoudnos

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