Jimmy Gammell

According to our database, Jimmy Gammell authored at least 6 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Learning to Query History: Nonstationary Classification via Learned Retrieval.

Jimmy Gammell, Bishal Thapaliya, Yoon Jung, Riyasat Ohib, Bilel Fehri, Deepayan Chakrabarti

CoRR, April, 2026

Learning to Localize Leakage of Cryptographic Sensitive Variables.

Jimmy Gammell, Anand Raghunathan, Abolfazl Hashemi, Kaushik Roy

Trans. Mach. Learn. Res., 2026

2025

Building Resilient AI: Strengthening Data, Security, and Robustness in Neural Networks.

Deepak Ravikumar, Jimmy Gammell, Kaushik Roy

Proceedings of the 31st IEEE International Symposium on On-Line Testing and Robust System Design, 2025

2024

Power side-channel leakage localization through adversarial training of deep neural networks.

Jimmy Gammell, Anand Raghunathan, Kaushik Roy

CoRR, 2024

2021

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

2020

Layer-skipping connections facilitate training of layered networks using equilibrium propagation.

Jimmy Gammell, Sae Woo Nam, Adam N. McCaughan

Proceedings of the International Conference on Neuromorphic Systems, 2020