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Juston Moore
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Characterization of contact offenders and child exploitation material trafficking on five peer-to-peer networks
G Bissias, B Levine, M Liberatore, B Lynn, J Moore, H Wallach, J Wolak
Child abuse & neglect 52, 185-199, 2016
602016
Local latent space bayesian optimization over structured inputs
N Maus, H Jones, J Moore, MJ Kusner, J Bradshaw, J Gardner
Advances in Neural Information Processing Systems 35, 34505-34518, 2022
442022
Poisson factorization for peer-based anomaly detection
M Turcotte, J Moore, N Heard, A McPhall
2016 IEEE Conference on Intelligence and Security Informatics (ISI), 208-210, 2016
402016
Topic-partitioned multinetwork embeddings
P Krafft, J Moore, B Desmarais, HM Wallach
Advances in Neural Information Processing Systems Twenty-Five, 2816-2824, 2012
222012
LCANets: Lateral Competition Improves Robustness Against Corruption and Attack
M Teti, G Kenyon, B Migliori, J Moore
International Conference on Machine Learning, 21232-21252, 2022
142022
Physics-Informed Machine Learning for DRAM Error Modeling
E Baseman, N Debardeleben, S Blanchard, J Moore, O Tkachenko, ...
2018 IEEE International Symposium on Defect and Fault Tolerance in VLSI and …, 2018
142018
Multi-Dimensional Anomalous Entity Detection via Poisson Tensor Factorization
ME Eren, JS Moore, BS Alexandro
2020 IEEE International Conference on Intelligence and Security Informatics …, 2020
132020
If you’ve trained one you’ve trained them all: inter-architecture similarity increases with robustness
HT Jones, JM Springer, GT Kenyon, JS Moore
Uncertainty in Artificial Intelligence, 928-937, 2022
72022
General-Purpose Unsupervised Cyber Anomaly Detection via Non-Negative Tensor Factorization
ME Eren, JS Moore, E Skau, E Moore, M Bhattarai, G Chennupati, ...
Digital Threats: Research and Practice 4 (1), 1-28, 2023
62023
Deepfaking it: experiments in generative, adversarial multispectral remote sensing
CX Ren, A Ziemann, J Theiler, J Moore
Algorithms, Technologies, and Applications for Multispectral and …, 2021
52021
Inferring Multilateral Relations from Dynamic Pairwise Interactions
A Schein, J Moore, H Wallach
arXiv preprint arXiv:1311.3982, 2013
42013
Bound Tightening using Rolling-Horizon Decomposition for Neural Network Verification
H Zhao, H Hijazi, H Jones, J Moore, M Tanneau, P Van Hentenryck
arXiv preprint arXiv:2401.05280, 2024
32024
LCANets++: Robust Audio Classification using Multi-layer Neural Networks with Lateral Competition
SV Dibbo, JS Moore, GT Kenyon, MA Teti
arXiv preprint arXiv:2308.12882, 2023
32023
Using models of cortical development based on sparse coding to discriminate between real and synthetically-generated faces
NTT Nguyen, JS Moore, GT Kenyon
2020 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-7, 2020
32020
Sparse-Guard: Sparse Coding-Based Defense against Model Inversion Attacks
SV Dibbo, A Breuer, J Moore, M Teti
12023
An Exact Kernel Equivalence for Finite Classification Models
B Bell, M Geyer, J Moore, D Glickenstein, A Fernandez
arXiv preprint arXiv:2308.00824, 2023
12023
Laplacian Segmentation Networks: Improved Epistemic Uncertainty from Spatial Aleatoric Uncertainty
K Zepf, S Wanna, M Miani, J Moore, J Frellsen, S Hauberg, A Feragen, ...
arXiv preprint arXiv:2303.13123, 2023
12023
Persistent Classification: A New Approach to Stability of Data and Adversarial Examples
B Bell, M Geyer, D Glickenstein, K Hamm, C Scheidegger, A Fernandez, ...
arXiv preprint arXiv:2404.08069, 2024
2024
Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures
SV Dibbo, A Breuer, J Moore, M Teti
arXiv preprint arXiv:2403.14772, 2024
2024
How Robust Are Energy-Based Models Trained With Equilibrium Propagation?
S Mansingh, M Kucer, GT Kenyon, J Moore, M Teti
Associative Memory {\&} Hopfield Networks in 2023, 2023
2023
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Articles 1–20