Teti, Michael

5 publications

ICLRW 2025 Distilled Feedforward Networks Are as Robust as Energy-Based Models Trained with Equilibrium Propagation Siddharth Mansingh, Garrett T. Kenyon, Michael Teti

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

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

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