Jonti Talukdar

Orcid: 0000-0001-7079-5281

According to our database1, Jonti Talukdar authored at least 18 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Rowhammer Vulnerability of DRAMs in 3-D Integration.
IEEE Trans. Very Large Scale Integr. Syst., May, 2024

2023
Functional Test Generation for AI Accelerators using Bayesian Optimization<sup>∗</sup>.
Proceedings of the 41st IEEE VLSI Test Symposium, 2023

Simply-Track-and-Refresh: Efficient and Scalable Rowhammer Mitigation.
Proceedings of the IEEE International Test Conference, 2023

Securing Heterogeneous 2.5D ICs Against IP Theft through Dynamic Interposer Obfuscation.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

2022
Functional Criticality Analysis of Structural Faults in AI Accelerators.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Special Session: Fault Criticality Assessment in AI Accelerators.
Proceedings of the 40th IEEE VLSI Test Symposium, 2022

Automatic Structural Test Generation for Analog Circuits using Neural Twins.
Proceedings of the IEEE International Test Conference, 2022

Probabilistic Fault Grading for AI Accelerators using Neural Twins.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2022

Machine Learning for Testing Machine-Learning Hardware: A Virtuous Cycle.
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

TaintLock: Preventing IP Theft through Lightweight Dynamic Scan Encryption using Taint Bits<sup>*</sup>.
Proceedings of the IEEE European Test Symposium, 2022

2021
A BIST-based Dynamic Obfuscation Scheme for Resilience against Removal and Oracle-guided Attacks<sup>*</sup>.
Proceedings of the IEEE International Test Conference, 2021

Efficient Fault-Criticality Analysis for AI Accelerators using a Neural Twin<sup>∗</sup>.
Proceedings of the IEEE International Test Conference, 2021

Fault-Criticality Assessment for AI Accelerators using Graph Convolutional Networks.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2020
Functional Criticality Classification of Structural Faults in AI Accelerators.
Proceedings of the IEEE International Test Conference, 2020

2018
High Speed SRT Divider for Intelligent Embedded System.
CoRR, 2018

2017
Implementation of SNR estimation based Energy Detection on USRP and GNU Radio for Cognitive Radio Networks.
CoRR, 2017

Human Action Recognition System using Good Features and Multilayer Perceptron Network.
CoRR, 2017

Transfer Learning by Finetuning Pretrained CNNs Entirely with Synthetic Images.
Proceedings of the Computer Vision, Pattern Recognition, Image Processing, and Graphics, 2017


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