Danny Abraham

According to our database, Danny Abraham authored at least 9 papers between 2022 and 2024.

Collaborative distances:

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

2024

Run-Time ROP Attack Detection on Embedded Devices Using Side Channel Power Analysis.

Jinyao Xu, Danny Abraham, Ian G. Harris

IEEE Embed. Syst. Lett., December, 2024

Dynamic MAC Protocol for Wireless Spectrum Sharing via Hyperdimensional Self-Learning.

Yang Ni, Danny Abraham, Mariam Issa, Alejandro Hernández-Cano, Mahdi Imani, Pietro Mercati, Mohsen Imani

IEEE Access, 2024

Back to the Future: Reversible Runtime Neural Network Pruning for Safe Autonomous Systems.

Danny Abraham, Biswadip Maity, Bryan Donyanavard, Nikil D. Dutt

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2023

Torchhd: An Open Source Python Library to Support Research on Hyperdimensional Computing and Vector Symbolic Architectures.

Mike Heddes, Igor Nunes, Pere Vergés, Denis Kleyko, Danny Abraham, Tony Givargis, Alexandru Nicolau, Alexander V. Veidenbaum

J. Mach. Learn. Res., 2023

DotHash: Estimating Set Similarity Metrics for Link Prediction and Document Deduplication.

Igor Nunes, Mike Heddes, Pere Vergés, Danny Abraham, Alexander V. Veidenbaum, Alex Nicolau, Tony Givargis

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Efficient Off-Policy Reinforcement Learning via Brain-Inspired Computing.

Yang Ni, Danny Abraham, Mariam Issa, Yeseong Kim, Pietro Mercati, Mohsen Imani

Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

2022

QHD: A brain-inspired hyperdimensional reinforcement learning algorithm.

Yang Ni, Danny Abraham, Mariam Issa, Yeseong Kim, Pietro Mercati, Mohsen Imani

CoRR, 2022

Hyperdimensional Hybrid Learning on End-Edge-Cloud Networks.

Mariam Issa, Sina Shahhosseini, Yang Ni, Tianyi Hu, Danny Abraham, Amir M. Rahmani, Nikil D. Dutt, Mohsen Imani

Proceedings of the IEEE 40th International Conference on Computer Design, 2022

HDPG: hyperdimensional policy-based reinforcement learning for continuous control.

Yang Ni, Mariam Issa, Danny Abraham, Mahdi Imani, Xunzhao Yin, Mohsen Imani

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022