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ORCIDJonti Talukdar
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2020 – today
- 2024
[j3]Eduardo Ortega
, Jonti Talukdar, Woohyun Paik, Tyler K. Bletsch, Krishnendu Chakrabarty:
Rowhammer Vulnerability of DRAMs in 3-D Integration. IEEE Trans. Very Large Scale Integr. Syst. 32(5): 967-971 (2024)- [j2]Jonti Talukdar, Woohyun Paik, Eduardo Ortega, Krishnendu Chakrabarty:
ALT-Lock: Logic and Timing Ambiguity-Based IP Obfuscation Against Reverse Engineering. IEEE Trans. Very Large Scale Integr. Syst. 32(8): 1535-1548 (2024) - 2023
- [c13]Jonti Talukdar, Arjun Chaudhuri, Jinwoo Kim, Sung Kyu Lim, Krishnendu Chakrabarty:
Securing Heterogeneous 2.5D ICs Against IP Theft through Dynamic Interposer Obfuscation. DATE 2023: 1-2 - [c12]Eduardo Ortega, Tyler K. Bletsch, Biresh Kumar Joardar, Jonti Talukdar, Woohyun Paik, Krishnendu Chakrabarty:
Simply-Track-and-Refresh: Efficient and Scalable Rowhammer Mitigation. ITC 2023: 340-349 - [c11]Arjun Chaudhuri, Ching-Yuan Chen, Jonti Talukdar, Krishnendu Chakrabarty:
Functional Test Generation for AI Accelerators using Bayesian Optimization∗. VTS 2023: 1-6 - 2022
- [j1]Arjun Chaudhuri, Jonti Talukdar, Fei Su, Krishnendu Chakrabarty:
Functional Criticality Analysis of Structural Faults in AI Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(12): 5657-5670 (2022) - [c10]Jonti Talukdar, Arjun Chaudhuri, Krishnendu Chakrabarty:
TaintLock: Preventing IP Theft through Lightweight Dynamic Scan Encryption using Taint Bits*. ETS 2022: 1-6 - [c9]Arjun Chaudhuri, Jonti Talukdar, Krishnendu Chakrabarty:
Machine Learning for Testing Machine-Learning Hardware: A Virtuous Cycle. ICCAD 2022: 160:1-160:6 - [c8]Arjun Chaudhuri, Jonti Talukdar, Krishnendu Chakrabarty:
Probabilistic Fault Grading for AI Accelerators using Neural Twins. ISVLSI 2022: 333-338 - [c7]Jonti Talukdar, Arjun Chaudhuri, Mayukh Bhattacharya, Krishnendu Chakrabarty:
Automatic Structural Test Generation for Analog Circuits using Neural Twins. ITC 2022: 145-154 - [c6]Arjun Chaudhuri, Jonti Talukdar, Krishnendu Chakrabarty:
Special Session: Fault Criticality Assessment in AI Accelerators. VTS 2022: 1-4 - 2021
- [c5]Arjun Chaudhuri, Jonti Talukdar, Jinwook Jung, Gi-Joon Nam, Krishnendu Chakrabarty:
Fault-Criticality Assessment for AI Accelerators using Graph Convolutional Networks. DATE 2021: 1596-1599 - [c4]Arjun Chaudhuri, Ching-Yuan Chen, Jonti Talukdar, Siddarth Madala, Abhishek Kumar Dubey, Krishnendu Chakrabarty:
Efficient Fault-Criticality Analysis for AI Accelerators using a Neural Twin∗. ITC 2021: 73-82 - [c3]Jonti Talukdar, Siyuan Chen, Amitabh Das, Sohrab Aftabjahani, Peilin Song, Krishnendu Chakrabarty:
A BIST-based Dynamic Obfuscation Scheme for Resilience against Removal and Oracle-guided Attacks*. ITC 2021: 170-179 - 2020
- [c2]Arjun Chaudhuri, Jonti Talukdar, Fei Su, Krishnendu Chakrabarty:
Functional Criticality Classification of Structural Faults in AI Accelerators. ITC 2020: 1-5
2010 – 2019
- 2018
- [i3]Bhavana Mehta, Jonti Talukdar, Sachin Gajjar:
High Speed SRT Divider for Intelligent Embedded System. CoRR abs/1802.06195 (2018) - 2017
- [c1]Param S. Rajpura, Alakh Aggarwal, Manik Goyal, Sanchit Gupta, Jonti Talukdar, Hristo Bojinov, Ravi S. Hegde:
Transfer Learning by Finetuning Pretrained CNNs Entirely with Synthetic Images. NCVPRIPG 2017: 517-528 - [i2]Jonti Talukdar, Bhavana Mehta:
Human Action Recognition System using Good Features and Multilayer Perceptron Network. CoRR abs/1708.06794 (2017) - [i1]Bhavana Mehta, Jonti Talukdar, Kinjal Aggrawal, Mansi Kamani:
Implementation of SNR estimation based Energy Detection on USRP and GNU Radio for Cognitive Radio Networks. CoRR abs/1708.06802 (2017)
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