Moore, Juston

9 publications

ECCV 2024 Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures Sayanton V. Dibbo, Adam Breuer, Juston Moore, Michael Teti

ICMLW 2023 An Exact Kernel Equivalence for Finite Classification Models Brian Wesley Bell, Michael Geyer, David Glickenstein, Amanda S Fernandez, Juston Moore

ICMLW 2023 How Can Neuroscience Help Us Build More Robust Deep Neural Networks? Sayanton V. Dibbo, Siddharth Mansingh, Jocelyn Rego, Garrett T. Kenyon, Juston Moore, Michael Teti

NeurIPSW 2023 How Robust Are Energy-Based Models Trained with Equilibrium Propagation? Siddharth Mansingh, Michal Kucer, Garrett T. Kenyon, Juston Moore, Michael Teti

ICMLW 2023 On the Relationship Between Data Manifolds and Adversarial Examples Michael Geyer, Brian Wesley Bell, Amanda S Fernandez, Juston Moore

ICML 2022 LCANets: Lateral Competition Improves Robustness Against Corruption and Attack Michael Teti, Garrett Kenyon, Ben Migliori, Juston Moore

NeurIPS 2022 Local Latent Space Bayesian Optimization over Structured Inputs Natalie Maus, Haydn Jones, Juston Moore, Matt J Kusner, John Bradshaw, Jacob Gardner

NeurIPSW 2020 Is the Discrete VAE’s Power Stuck in Its Prior? Haydn Thomas Jones, Juston Moore

NeurIPS 2012 Topic-Partitioned Multinetwork Embeddings Peter Krafft, Juston Moore, Bruce Desmarais, Hanna M. Wallach