search
menu
icon-carat-right
cmu-wordmark
✕
About
Leadership
Divisions
Work with Us
Collaboration with CMU
History of Innovation at the SEI
Our Work
Agile
Artificial Intelligence Engineering
Cyber Workforce Development
Cybersecurity Center Development
Cybersecurity Engineering
DevSecOps
Enterprise Risk and Resilience Management
All Topics
All Projects
Publications
Annual Reviews
Blog
Digital Library
Podcast Series
Software and Tools
Technical Papers
Vulnerability Notes Database
Webinar Series
News and Events
News
Events
SEI Bulletin
Education and Outreach
Courses
Credentials
Curricula
License SEI Materials
Careers
Job Openings
Diversity, Equity and Inclusion
Internship Opportunities
Working at the SEI
Carnegie Mellon University
Software Engineering Institute
About
Leadership
Divisions
Work with Us
Collaboration with CMU
History of Innovation at the SEI
Our Work
Agile
Artificial Intelligence Engineering
Cloud Computing
Cyber Workforce Development
Cybersecurity Center Development
Cybersecurity Engineering
DevSecOps
All Topics
All Projects
Publications
Annual Reviews
Blog
Digital Library
Podcast Series
Software and Tools
Technical Papers
Vulnerability Notes Database
Webcasts Series
News and Events
News
Events
SEI Bulletin
Education and Outreach
Courses
Credentials
Curricula
License SEI Materials
Careers
Job Openings
Diversity, Equity, and Inclusion
Internship Opportunities
Home
Publications
Authors
Nathan M. VanHoudnos
Nathan VanHoudnos
Software Engineering Institute
All
Tech Publications
Blog Posts
Podcasts
Videos
The Challenge of Adversarial Machine Learning
May 15, 2023
• By
Matt Churilla
,
Nathan M. VanHoudnos
,
Robert W. Beveridge
Juneberry - Tutorial
March 22, 2022
•
Presentation
By
Andrew O. Mellinger
,
Nathan M. VanHoudnos
,
Nick Winski
Measuring Beyond Accuracy
March 21, 2022
•
Conference Paper
By
Violet Turri
,
Rachel Dzombak
,
Eric Heim
,
Nathan M. VanHoudnos
,
Jay Palat
,
Anusha Sinha
Train but Verify: Towards Practical AI Robustness
November 7, 2021
•
Presentation
By
Nathan M. VanHoudnos
Train but Verify: Towards Practical AI Robustness
November 5, 2021
•
Video
By
Nathan M. VanHoudnos
More from Nathan VanHoudnos
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
Comments on NISTIR 8269 (A Taxonomy and Terminology of Adversarial Machine Learning)
February 4, 2020
•
White Paper
By
April Galyardt
,
Nathan M. VanHoudnos
,
Jonathan Spring
Towards Security Defect Prediction with AI
October 23, 2018
•
Poster
By
Nathan M. VanHoudnos
The Critical Role of Positive Incentives for Reducing Insider Threats
December 15, 2016
•
Technical Report
By
Andrew P. Moore
,
Samuel J. Perl
,
Jennifer Cowley
,
Matthew L. Collins
,
Tracy Cassidy
,
Nathan M. VanHoudnos
,
Palma Buttles-Valdez
,
Daniel Bauer
,
Allison Parshall
,
Jeff Savinda
,
Elizabeth A. Monaco
,
Jamie L. Moyes
,
Denise M. Rousseau (Carnegie Mellon University)
More from Nathan VanHoudnos
The Challenge of Adversarial Machine Learning
May 15, 2023
• By
Matt Churilla
,
Nathan M. VanHoudnos
,
Robert W. Beveridge
More from Nathan VanHoudnos
Managing Vulnerabilities in Machine Learning and Artificial Intelligence Systems
June 10, 2021
•
Podcast
By
Nathan M. VanHoudnos
,
Jonathan Spring
,
Allen D. Householder
More from Nathan VanHoudnos
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
More from Nathan VanHoudnos
Send a Message
