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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
422022
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
392016
Topic-partitioned multinetwork embeddings
P Krafft, J Moore, B Desmarais, HM Wallach
Advances in Neural Information Processing Systems Twenty-Five, 2816-2824, 2012
222012
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
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
122022
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
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
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
22024
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
22023
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
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
Exact Path Kernels Naturally Decompose Model Predictions
M Geyer, BW Bell, D Glickenstein, AS Fernandez, J Moore
2023
Sparse-Guard: Sparse Coding-Based Defense against Model Inversion Attacks
SV Dibbo, A Breuer, J Moore, M Teti
2023
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