Chris M. Ward

According to our database, Chris M. Ward authored at least 12 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

The AI Security Pyramid of Pain.

Chris M. Ward, Josh Harguess, Julia Tao, Daniel Christman, Paul Spicer, Mike Tan

CoRR, 2024

2022

Adversarial Barrel! An Evaluation of 3D Physical Adversarial Attacks.

Mohammad Zarei, Chris M. Ward, Josh Harguess, Marshal Aiken

Proceedings of the 51st IEEE Applied Imagery Pattern Recognition Workshop, 2022

Detecting Physical Adversarial Patch Attacks with Object Detectors.

Melanie Jutras, Ethan Liang, Sara Leary, Chris M. Ward, Keith Manville

Proceedings of the 51st IEEE Applied Imagery Pattern Recognition Workshop, 2022

Is the Next Winter Coming for AI? Elements of Making Secure and Robust AI.

Josh Harguess, Chris M. Ward

Proceedings of the 51st IEEE Applied Imagery Pattern Recognition Workshop, 2022

Adversarial Examples in Self-Driving: A Review of Available Datasets and Attacks.

Mohammad R. Alam, Chris M. Ward

Proceedings of the 51st IEEE Applied Imagery Pattern Recognition Workshop, 2022

2021

Physical Adversarial Attacks in Simulated Environments.

Michael Threet, Colin Busho, Josh Harguess, Melanie Jutras, Nicole Lape, Sara Leary, Keith Manville, Mike Tan, Chris M. Ward

Proceedings of the 50th IEEE Applied Imagery Pattern Recognition Workshop, 2021

Baseline Evaluation Methodology for Adversarial Patterns on Object Detection Models.

Emily Holt, Anto Malkastian, Savanna Smith, Chris M. Ward, Josh Harguess

Proceedings of the 50th IEEE Applied Imagery Pattern Recognition Workshop, 2021

2019

Image quality assessment for determining efficacy and limitations of Super-Resolution Convolutional Neural Network (SRCNN).

Chris M. Ward, Josh Harguess, Brendan Crabb, Shibin Parameswaran

CoRR, 2019

Leveraging synthetic imagery for collision-at-sea avoidance.

Chris M. Ward, Josh Harguess, Alexander G. Corelli

CoRR, 2019

Ship classification from overhead imagery using synthetic data and domain adaptation.

Chris M. Ward, Josh Harguess, Cameron Hilton

CoRR, 2019

SRC3: A Video Dataset for Evaluating Domain Mismatch.

Jonathan Sato, Chelsea Mediavilla, Chris M. Ward, Shibin Parameswaran

Proceedings of the 48th IEEE Applied Imagery Pattern Recognition Workshop, 2019

2018

Visualizing Compression of Deep Learning Models for Classification.

Marissa Dotter, Chris M. Ward

Proceedings of the 47th IEEE Applied Imagery Pattern Recognition Workshop, 2018