| Functional map of the world G Christie, N Fendley, J Wilson, R Mukherjee Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 348 | 2018 |
| Adversarial examples in remote sensing W Czaja, N Fendley, M Pekala, C Ratto, IJ Wang Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances …, 2018 | 72 | 2018 |
| The trojai software framework: An opensource tool for embedding trojans into deep learning models K Karra, C Ashcraft, N Fendley arXiv preprint arXiv:2003.07233, 2020 | 30 | 2020 |
| Squint hard enough: Evaluating perceptual hashing with machine learning J Prokos, TM Jois, N Fendley, R Schuster, M Green, E Tromer, Y Cao Cryptology ePrint Archive, 2021 | 14 | 2021 |
| L2explorer: A lifelong reinforcement learning assessment environment EC Johnson, EQ Nguyen, B Schreurs, CS Ewulum, C Ashcraft, ... arXiv preprint arXiv:2203.07454, 2022 | 12 | 2022 |
| Attack agnostic detection of adversarial examples via random subspace analysis N Drenkow, N Fendley, P Burlina Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 9 | 2022 |
| Jacks of all trades, masters of none: addressing distributional shift and obtrusiveness via transparent patch attacks N Fendley, M Lennon, IJ Wang, P Burlina, N Drenkow Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 8 | 2020 |
| Squint hard enough: Attacking perceptual hashing with adversarial machine learning J Prokos, N Fendley, M Green, R Schuster, E Tromer, T Jois, Y Cao 32nd USENIX Security Symposium (USENIX Security 23), 211-228, 2023 | 5 | 2023 |
| Fortifying Federated Learning against Membership Inference Attacks via Client-level Input Perturbation Y Yang, H Yuan, B Hui, N Gong, N Fendley, P Burlina, Y Cao 2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems …, 2023 | 4 | 2023 |
| Functional Map of the World. In 2018 IEEE G Christie, N Fendley, J Wilson, R Mukherjee CVF Conference on Computer Vision and Pattern Recognition, 6172-6180, 0 | 4 | |
| Machine learning for activity-based road transportation emissions estimation D Rollend, K Foster, TM Kott, R Mocharla, R Muñoz, N Fendley, ... Environmental Data Science 2, e38, 2023 | 3 | 2023 |
| Continual reinforcement learning with tella N Fendley, C Costello, E Nguyen, G Perrotta, C Lowman arXiv preprint arXiv:2208.04287, 2022 | 2 | 2022 |
| Addressing Visual Search in Open and Closed Set Settings N Drenkow, P Burlina, N Fendley, O Odoemene, J Markowitz Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 1 | 2021 |
| Adversarial Machine Learning and the Future Hybrid Battlespace C Ratto, M Pekala, N Fendley, N Drenkow, K Karra, C Ashcraft, C Costello, ... The Johns Hopkins University Applied Physics Laboratory, 0 | 1 | |
| Road Transportation Emissions Estimation and Tipping Points E Reilly, D Rollend, K Foster, T Kott, R Mocharla, R Munoz, N Fendley, ... | | 2023 |
| 2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)| 979-8-3503-4793-7/23/$31.00© 2023 IEEE| DOI: 10.1109/DSN58367. 2023.00062 AJ Adiletta, GJ Ahn, D Alden, KA Alharthi, N Antunes, J Baek, C Bansal, ... | | |
| Supplementary Material: Functional Map of the World G Christie, N Fendley, J Wilson, R Mukherjee | | |
