Chris M. Ward

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 12

Top Topics

Convolutional Neural Network

Object Detectors

Malicious Attacks

Quality Assessment

Top Venues

Publications

Chris M. Ward, Josh Harguess, Julia Tao, Daniel Christman, Paul Spicer, Mike Tan
The AI Security Pyramid of Pain. CoRR (2024)
Josh Harguess, Chris M. Ward
Is the Next Winter Coming for AI? Elements of Making Secure and Robust AI. AIPR (2022)
Melanie Jutras, Ethan Liang, Sara Leary, Chris M. Ward, Keith Manville
Detecting Physical Adversarial Patch Attacks with Object Detectors. AIPR (2022)
Mohammad R. Alam, Chris M. Ward
Adversarial Examples in Self-Driving: A Review of Available Datasets and Attacks. AIPR (2022)
Mohammad Zarei, Chris M. Ward, Josh Harguess, Marshal Aiken
Adversarial Barrel! An Evaluation of 3D Physical Adversarial Attacks. AIPR (2022)
Michael Threet, Colin Busho, Josh Harguess, Melanie Jutras, Nicole Lape, Sara Leary, Keith Manville, Mike Tan, Chris M. Ward
Physical Adversarial Attacks in Simulated Environments. AIPR (2021)
Emily Holt, Anto Malkastian, Savanna Smith, Chris M. Ward, Josh Harguess
Baseline Evaluation Methodology for Adversarial Patterns on Object Detection Models. AIPR (2021)
Chris M. Ward, Josh Harguess, Alexander G. Corelli
Leveraging synthetic imagery for collision-at-sea avoidance. CoRR (2019)
Chris M. Ward, Josh Harguess, Cameron Hilton
Ship classification from overhead imagery using synthetic data and domain adaptation. CoRR (2019)
Jonathan Sato, Chelsea Mediavilla, Chris M. Ward, Shibin Parameswaran
SRC3: A Video Dataset for Evaluating Domain Mismatch. AIPR (2019)
Chris M. Ward, Josh Harguess, Brendan Crabb, Shibin Parameswaran
Image quality assessment for determining efficacy and limitations of Super-Resolution Convolutional Neural Network (SRCNN). CoRR (2019)
Marissa Dotter, Chris M. Ward
Visualizing Compression of Deep Learning Models for Classification. AIPR (2018)