Keith Manville

Quantification of constituents in areal and intimate binary mixtures of particulate materials

Ronald G. Resmini, Keith Manville, Michael S. West, 2011, Defense + Commercial Sensing.

APRICOT: A Dataset of Physical Adversarial Attacks on Object Detection

Keith Manville, Anneliese Braunegg, Amartya Chakraborty, 2019, ECCV.

Adversarial Attack Attribution: Discovering Attributable Signals in Adversarial ML Attacks pdf

Josh Harguess, Mikel Rodriguez, Marissa Dotter, 2021, ArXiv.

The vulnerability of UAVs: an adversarial machine learning perspective

Keith Manville, Joshua D. Harguess, Michael Doyle, 2021, Defense + Commercial Sensing.

Detecting Physical Adversarial Patch Attacks with Object Detectors

Keith Manville, C. Ward, Sara Leary, 2022, 2022 IEEE Applied Imagery Pattern Recognition Workshop (AIPR).

A Dynamic Thermal IR Display for Physical Adversarial Attacks

Josh Harguess, Keith Manville, Shiri Bendelac, 2021, 2021 IEEE Applied Imagery Pattern Recognition Workshop (AIPR).

APRICOT: A Dataset of Physical Adversarial Attacks on Object Detection

Elizabeth M. Merkhofer, Matthew Walmer, Keith Manville, 2019, ECCV.

Physical Adversarial Attacks in Simulated Environments

Josh Harguess, Keith Manville, C. Ward, 2021, International Conference on Artificial Intelligence and Pattern Recognition.

Machine Learning Model Attribution Challenge

H. Anderson, João Gante, Keith Manville, 2023, ArXiv.