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Jayeeta Chaudhuri
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2020 – today
- 2026
[c9]Luca Benini, Paolo Bernardi, Alberto Bosio, Swarup Bhunia, Riccardo Cantoro, Degang Chen, Krishnendu Chakrabarty, Jayeeta Chaudhuri, Bastien Deveautour, Gabriele Filipponi, Angelo Garofalo, Salvatore Pappalardo, Sudipta Paria, Michael Rogenmoser, Philippe Sauter, Michael Sekyere, Chen Wu:
VTS2026 Contest Publication: TTTC's E.J. McCluskey Best Doctoral Thesis Award. VTS 2026: 1-18- 2025
[j5]Jayeeta Chaudhuri
, Mayukh Bhattacharya
, Krishnendu Chakrabarty
:
Enhancing Analog IC Security Using Randomized Obfuscation Circuits. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 44(3): 867-881 (2025)
[j4]Jayeeta Chaudhuri
, Dhruv Thapar, Arjun Chaudhuri, Farshad Firouzi, Krishnendu Chakrabarty
:
SPICED+: Syntactical Bug Pattern Identification and Correction of Trojans in A/MS Circuits Using LLM-Enhanced Detection. IEEE Trans. Very Large Scale Integr. Syst. 33(4): 1118-1131 (2025)
[c8]Jayeeta Chaudhuri, Hassan Nassar
, Dennis R. E. Gnad, Jörg Henkel, Mehdi B. Tahoori, Krishnendu Chakrabarty:
FLARE: Fault Attack Leveraging Address Reconfiguration Exploits in Multi-Tenant FPGAs. ETS 2025: 1-6
[c7]Farshad Firouzi, David Z. Pan, Jiaqi Gu, Bahar J. Farahani
, Jayeeta Chaudhuri, Ziang Yin, Pingchuan Ma, Peter Domanski, Krishnendu Chakrabarty:
ChipMnd: LLMs for Agile Chip Design. VTS 2025: 1-10
[i4]Jayeeta Chaudhuri, Hassan Nassar
, Dennis R. E. Gnad, Jörg Henkel, Mehdi B. Tahoori, Krishnendu Chakrabarty:
FLARE: Fault Attack Leveraging Address Reconfiguration Exploits in Multi-Tenant FPGAs. CoRR abs/2502.15578 (2025)
[i3]Jayeeta Chaudhuri, Arjun Chaudhuri, Krishnendu Chakrabarty:
LATENT: LLM-Augmented Trojan Insertion and Evaluation Framework for Analog Netlist Topologies. CoRR abs/2505.06364 (2025)- 2024
[j3]Jayeeta Chaudhuri
, Mayukh Bhattacharya
, Krishnendu Chakrabarty
:
DAWN: Efficient Trojan Detection in Analog Circuits Using Circuit Watermarking and Neural Twins. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(10): 2930-2943 (2024)
[c6]Jayeeta Chaudhuri, Hassan Nassar
, Dennis R. E. Gnad, Jörg Henkel, Mehdi B. Tahoori, Krishnendu Chakrabarty:
Hacking the Fabric: Targeting Partial Reconfiguration for Fault Injection in FPGA Fabrics. ATS 2024: 1-6
[c5]Jayeeta Chaudhuri, Krishnendu Chakrabarty:
Detection of Stealthy Bitstreams in Cloud FPGAs using Graph Convolutional Networks. ETS 2024: 1-6
[i2]Jayeeta Chaudhuri, Dhruv Thapar, Arjun Chaudhuri, Farshad Firouzi, Krishnendu Chakrabarty:
SPICED: Syntactical Bug and Trojan Pattern Identification in A/MS Circuits using LLM-Enhanced Detection. CoRR abs/2408.16018 (2024)
[i1]Jayeeta Chaudhuri, Hassan Nassar
, Dennis R. E. Gnad, Jörg Henkel, Mehdi B. Tahoori, Krishnendu Chakrabarty:
Hacking the Fabric: Targeting Partial Reconfiguration for Fault Injection in FPGA Fabrics. CoRR abs/2410.16497 (2024)- 2023
[j2]Rana Elnaggar, Jayeeta Chaudhuri
, Ramesh Karri
, Krishnendu Chakrabarty
:
Learning Malicious Circuits in FPGA Bitstreams. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(3): 726-739 (2023)
[j1]Jayeeta Chaudhuri
, Krishnendu Chakrabarty
:
Diagnosis of Malicious Bitstreams in Cloud Computing FPGAs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(11): 3651-3664 (2023)
[c4]Jayeeta Chaudhuri, Krishnendu Chakrabarty:
Detection and Classification of Malicious Bitstreams for FPGAs in Cloud Computing. ASP-DAC 2023: 91-97
[c3]Jayeeta Chaudhuri, Krishnendu Chakrabarty:
Criticality Analysis of Ring Oscillators in FPGA Bitstreams *. ETS 2023: 1-4- 2022
[c2]Jayeeta Chaudhuri, Krishnendu Chakrabarty:
Detection of Malicious FPGA Bitstreams using CNN-Based Learning. ETS 2022: 1-2
[c1]Aritra Ray, Jinyuan Jia, Sohini Saha
, Jayeeta Chaudhuri, Neil Zhenqiang Gong, Krishnendu Chakrabarty:
Deep Neural Network Piration without Accuracy Loss. ICMLA 2022: 1032-1038
Coauthor Index

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