Publications

This section contains publications published by ISI over the past several decades.

2023

MAVERIC: Exploring Space Visualization Technology Through Academic Flight Programs

C Garrido, S Lin, J Di, J Bergstrom, B Rios, B Byrne, S Clements, A Dhabekar, B Dadhich, D Barnhart

When bio-inspired computing meets deep learning: Low-latency, accurate, & energy-efficient spiking neural networks from artificial neural networks

Gourav Datta, Zeyu Liu, James Diffenderfer, Bhavya Kailkhura, Peter A Beerel
arXiv preprint arXiv:2312.06900,  2023

Design Considerations for 3D Heterogeneous Integration Driven Analog Processing-in-Pixel for Extreme-Edge Intelligence

Zihan Yin, Gourav Datta, Md Abdullah-Al Kaiser, Peter Beerel, Ajey Jacob, Akhilesh Jaiswal
2023 IEEE International Conference on Rebooting Computing (ICRC), 1-5,  2023

Spiking Neural Networks with Dynamic Time Steps for Vision Transformers

Gourav Datta, Zeyu Liu, Anni Li, Peter A Beerel
arXiv preprint arXiv:2311.16456,  2023

RNA-ViT: reduced-dimension approximate normalized attention vision transformers for latency efficient private inference

Dake Chen, Yuke Zhang, Souvik Kundu, Chenghao Li, Peter A Beerel
2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 1-9,  2023

Let's Roll: Synthetic Dataset Analysis for Pedestrian Detection Across Different Shutter Types

Yue Hu, Gourav Datta, Kira Beerel, Peter Beerel
arXiv preprint arXiv:2309.08136,  2023

Results from the coldflux superconductor integrated circuit design tool project

Coenrad J Fourie, Kyle Jackman, Johannes Delport, Lieze Schindler, Tessa Hall, Pascal Febvre, Lucas Iwanikow, Olivia Chen, Christopher L Ayala, Nobuyuki Yoshikawa, Mark Law, Thomas A Weingartner, Yanzhi Wang, Peter Beerel, Sandeep Gupta, Haipeng Zha, Sasan Razmkhah, Mustafa Altay Karamuftuoglu, Arash Fayyazi, Mingye Li, Murali Annavaram, Shahin Nazarian, Massoud Pedram
IEEE Transactions on Applied Superconductivity 33 (8), 1-26,  2023

Bridging the Gap Between Spiking Neural Networks & LSTMs for Latency & Energy Efficiency

Gourav Datta, Haoqin Deng, Robert Aviles, Zeyu Liu, Peter A Beerel
2023 IEEE/ACM International Symposium on Low Power Electronics and Design …,  2023

C2PI: An Efficient Crypto-Clear Two-Party Neural Network Private Inference

Yuke Zhang, Dake Chen, Souvik Kundu, Haomei Liu, Ruiheng Peng, Peter A Beerel
2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6,  2023

Island-based random dynamic voltage scaling vs ML-enhanced power side-channel attacks

Dake Chen, Christine Goins, Maxwell Waugaman, Georgios D Dimou, Peter A Beerel
Proceedings of the Great Lakes Symposium on VLSI 2023, 333-338,  2023

Technology-circuit-algorithm tri-design for processing-in-pixel-in-memory (p2m)

Md Abdullah-Al Kaiser, Gourav Datta, Sreetama Sarkar, Souvik Kundu, Zihan Yin, Manas Garg, Ajey P Jacob, Peter A Beerel, Akhilesh R Jaiswal
Proceedings of the Great Lakes Symposium on VLSI 2023, 613-618,  2023

Sparse mixture once-for-all adversarial training for efficient in-situ trade-off between accuracy and robustness of DNNs

Souvik Kundu, Sairam Sundaresan, Sharath Nittur Sridhar, Shunlin Lu, Han Tang, Peter A Beerel
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …,  2023

In-sensor & neuromorphic computing are all you need for energy efficient computer vision

Gourav Datta, Zeyu Liu, Md Abdullah-Al Kaiser, Souvik Kundu, Joe Mathai, Zihan Yin, Ajey P Jacob, Akhilesh R Jaiswal, Peter A Beerel
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …,  2023

Quantpipe: Applying adaptive post-training quantization for distributed transformer pipelines in dynamic edge environments

Haonan Wang, Connor Imes, Souvik Kundu, Peter A Beerel, Stephen P Crago, John Paul Walters
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …,  2023

ViTA: A vision transformer inference accelerator for edge applications

Shashank Nag, Gourav Datta, Souvik Kundu, Nitin Chandrachoodan, Peter A Beerel
2023 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5,  2023

Neuromorphic-P2M: processing-in-pixel-in-memory paradigm for neuromorphic image sensors

Md Abdullah-Al Kaiser, Gourav Datta, Zixu Wang, Ajey P Jacob, Peter A Beerel, Akhilesh R Jaiswal
Frontiers in Neuroinformatics 17, 1144301,  2023

On the security of sequential logic locking against oracle-guided attacks

Yinghua Hu, Yuke Zhang, Kaixin Yang, Dake Chen, Peter A Beerel, Pierluigi Nuzzo
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …,  2023

Learning to linearize deep neural networks for secure and efficient private inference

Souvik Kundu, Shunlin Lu, Yuke Zhang, Jacqueline Liu, Peter A Beerel
arXiv preprint arXiv:2301.09254,  2023

Sal-vit: Towards latency efficient private inference on vit using selective attention search with a learnable softmax approximation

Yuke Zhang, Dake Chen, Souvik Kundu, Chenghao Li, Peter A Beerel
Proceedings of the IEEE/CVF International Conference on Computer Vision …,  2023