Functional Map of the World. - Gordon A. Christie; Neil Fendley; James Wilson; Ryan Mukherjee (CVPR, 2018)

Adversarial examples in remote sensing. - Wojciech Czaja; Neil Fendley; Michael J. Pekala; Christopher Ratto; I-Jeng Wang (SIGSPATIAL/GIS, 2018)

Jacks of All Trades, Masters of None: Addressing Distributional Shift and Obtrusiveness via Transparent Patch Attacks. - Neil Fendley; Max Lennon; I-Jeng Wang; Philippe Burlina; Nathan Drenkow (ECCV Workshops (1), 2020)

The TrojAI Software Framework: An OpenSource tool for Embedding Trojans into Deep Learning Models. - Kiran Karra; Chace Ashcraft; Neil Fendley (CoRR, 2020)

Random Projections for Adversarial Attack Detection. - Nathan Drenkow; Neil Fendley; Philippe Burlina (CoRR, 2020)

Objectness-Guided Open Set Visual Search and Closed Set Detection. - Nathan Drenkow; Philippe Burlina; Neil Fendley; Kachi Odoemene; Jared Markowitz (CoRR, 2020)

The Active Sensing Testbed. - Lee Stearns; Neil Fendley; Ashley J. Llorens (AAAI, 2021)

Addressing Visual Search in Open and Closed Set Settings. - Nathan Drenkow; Philippe Burlina; Neil Fendley; Onyekachi Odoemene; Jared Markowitz (CVPR Workshops, 2021)

Squint Hard Enough: Evaluating Perceptual Hashing with Machine Learning. - Jonathan Prokos; Tushar M. Jois; Neil Fendley; Roei Schuster; Matthew Green 001; Eran Tromer; Yinzhi Cao (IACR Cryptol. ePrint Arch., 2021)

Attack Agnostic Detection of Adversarial Examples via Random Subspace Analysis. - Nathan Drenkow; Neil Fendley; Philippe Burlina (WACV, 2022)

L2Explorer: A Lifelong Reinforcement Learning Assessment Environment. - Erik C. Johnson; Eric Q. Nguyen; Blake Schreurs; Chigozie S. Ewulum; Chace Ashcraft; Neil M. Fendley; Megan M. Baker; Alexander New; Gautam K. Vallabha (CoRR, 2022)

Continual Reinforcement Learning with TELLA. - Neil Fendley; Cash Costello; Eric Q. Nguyen; Gino Perrotta; Corey Lowman (CoRR, 2022)

Fortifying Federated Learning against Membership Inference Attacks via Client-level Input Perturbation. - Yuchen Yang 001; Haolin Yuan; Bo Hui 002; Neil Zhenqiang Gong; Neil Fendley; Philippe Burlina; Yinzhi Cao (DSN, 2023)

Squint Hard Enough: Attacking Perceptual Hashing with Adversarial Machine Learning. - Jonathan Prokos; Neil Fendley; Matthew Green 001; Roei Schuster; Eran Tromer; Tushar M. Jois; Yinzhi Cao (USENIX Security Symposium, 2023)

Mirror Mirror on the Wall, Have I Forgotten it All? A New Framework for Evaluating Machine Unlearning. - Brennon Brimhall; Philip Mathew; Neil Fendley; Yinzhi Cao; Matthew Green 001 (CoRR, 2025)

A Systematic Review of Poisoning Attacks Against Large Language Models. - Neil Fendley; Edward W. Staley; Joshua Carney; William Redman; Marie Chau; Nathan Drenkow (CoRR, 2025)