Layer-skipping connections facilitate training of layered networks using equilibrium propagation. - Jimmy Gammell; Sae Woo Nam; Adam N. McCaughan (ICONS, 2020)

Layer-Skipping Connections Improve the Effectiveness of Equilibrium Propagation on Layered Networks. - Jimmy Gammell; Sonia M. Buckley; Sae Woo Nam; Adam N. McCaughan (Frontiers Comput. Neurosci., 2021)

Power side-channel leakage localization through adversarial training of deep neural networks. - Jimmy Gammell; Anand Raghunathan; Kaushik Roy 001 (CoRR, 2024)

Building Resilient AI: Strengthening Data, Security, and Robustness in Neural Networks. - Deepak Ravikumar; Jimmy Gammell; Kaushik Roy 001 (IOLTS, 2025)

Learning to Localize Leakage of Cryptographic Sensitive Variables. - Jimmy Gammell; Anand Raghunathan; Abolfazl Hashemi; Kaushik Roy 001 (CoRR, 2025)