Overhead Detection: Beyond 8-bits and RGB. - Eliza Mace; Keith Manville; Monica Barbu-McInnis; Michael Laielli; Matthew Klaric; Samuel Dooley (CoRR, 2018)

APRICOT: A Dataset of Physical Adversarial Attacks on Object Detection. - A. Braunegg; Amartya Chakraborty; Michael Krumdick; Nicole Lape; Sara Leary; Keith Manville; Elizabeth M. Merkhofer; Laura Strickhart; Matthew Walmer (ECCV (21), 2020)

A Dynamic Thermal IR Display for Physical Adversarial Attacks. - Shiri Bendelac; Keith Manville; Josh Harguess; Mikel Rodriguez (AIPR, 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 (AIPR, 2021)

Adversarial Attack Attribution: Discovering Attributable Signals in Adversarial ML Attacks. - Marissa Dotter; Sherry Xie; Keith Manville; Josh Harguess; Colin Busho; Mikel Rodriguez (CoRR, 2021)

Detecting Physical Adversarial Patch Attacks with Object Detectors. - Melanie Jutras; Ethan Liang; Sara Leary; Chris M. Ward; Keith Manville (AIPR, 2022)

Watermarking for Data Provenance in Object Detection. - Anna Snarski; Walker L. Dimon; Keith Manville; Michael Krumdick (AIPR, 2022)

Machine Learning Model Attribution Challenge. - Elizabeth M. Merkhofer; Deepesh Chaudhari; Hyrum S. Anderson; Keith Manville; Lily Wong; João Gante (CoRR, 2023)