Neil Fendley

According to our database, Neil Fendley authored at least 16 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, June, 2025

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

CoRR, May, 2025

2023

Squint Hard Enough: Attacking Perceptual Hashing with Adversarial Machine Learning.

Jonathan Prokos, Neil Fendley, Matthew Green, Roei Schuster, Eran Tromer, Tushar M. Jois, Yinzhi Cao

Proceedings of the 32nd USENIX Security Symposium, 2023

Fortifying Federated Learning against Membership Inference Attacks via Client-level Input Perturbation.

Yuchen Yang, Haolin Yuan, Bo Hui, Neil Zhenqiang Gong, Neil Fendley, Philippe Burlina, Yinzhi Cao

Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Network, 2023

2022

Continual Reinforcement Learning with TELLA.

Neil Fendley, Cash Costello, Eric Q. Nguyen, Gino Perrotta, Corey Lowman

CoRR, 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

Attack Agnostic Detection of Adversarial Examples via Random Subspace Analysis.

Nathan Drenkow, Neil Fendley, Philippe Burlina

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2021

Squint Hard Enough: Evaluating Perceptual Hashing with Machine Learning.

Jonathan Prokos, Tushar M. Jois, Neil Fendley, Roei Schuster, Matthew Green, Eran Tromer, Yinzhi Cao

IACR Cryptol. ePrint Arch., 2021

Addressing Visual Search in Open and Closed Set Settings.

Nathan Drenkow, Philippe Burlina, Neil Fendley, Onyekachi Odoemene, Jared Markowitz

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

The Active Sensing Testbed.

Lee Stearns, Neil Fendley, Ashley J. Llorens

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Objectness-Guided Open Set Visual Search and Closed Set Detection.

Nathan Drenkow, Philippe Burlina, Neil Fendley, Kachi Odoemene, Jared Markowitz

CoRR, 2020

Random Projections for Adversarial Attack Detection.

Nathan Drenkow, Neil Fendley, Philippe Burlina

CoRR, 2020

The TrojAI Software Framework: An OpenSource tool for Embedding Trojans into Deep Learning Models.

Kiran Karra, Chace Ashcraft, Neil Fendley

CoRR, 2020

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

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2018

Adversarial examples in remote sensing.

Wojciech Czaja, Neil Fendley, Michael J. Pekala, Christopher Ratto, I-Jeng Wang

Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018

Functional Map of the World.

Gordon A. Christie, Neil Fendley, James Wilson, Ryan Mukherjee

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018