Kiruba S. Subramani

Orcid: 0000-0001-6224-9061

According to our database1, Kiruba S. Subramani authored at least 13 papers between 2014 and 2020.

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

Timeline

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Bibliography

2020
Amplitude-Modulating Analog/RF Hardware Trojans in Wireless Networks: Risks and Remedies.
IEEE Trans. Inf. Forensics Secur., 2020

2019
Demonstrating and Mitigating the Risk of an FEC-Based Hardware Trojan in Wireless Networks.
IEEE Trans. Inf. Forensics Secur., 2019

Machine Learning-based Noise Classification and Decomposition in RF Transceivers.
Proceedings of the 37th IEEE VLSI Test Symposium, 2019

Trusted and Secure Design of Analog/RF ICs: Recent Developments.
Proceedings of the 25th IEEE International Symposium on On-Line Testing and Robust System Design, 2019

Revisiting Capacitor-Based Trojan Design.
Proceedings of the 37th IEEE International Conference on Computer Design, 2019

2017
Knob non-idealities in learning-based post-production tuning of analog/RF ICs: Impact & remedies.
Proceedings of the 35th IEEE VLSI Test Symposium, 2017

ACE: Adaptive channel estimation for detecting analog/RF trojans in WLAN transceivers.
Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017

INFECT: INconspicuous FEC-based Trojan: A hardware attack on an 802.11a/g wireless network.
Proceedings of the 2017 IEEE International Symposium on Hardware Oriented Security and Trust, 2017

2016
Wireless Networking Testbed and Emulator (WiNeTestEr).
Comput. Commun., 2016

On-die learning-based self-calibration of analog/RF ICs.
Proceedings of the 34th IEEE VLSI Test Symposium, 2016

2015
A comparative study of one-shot statistical calibration methods for analog / RF ICs.
Proceedings of the 2015 IEEE International Test Conference, 2015

Silicon Demonstration of Statistical Post-Production Tuning.
Proceedings of the 2015 IEEE Computer Society Annual Symposium on VLSI, 2015

2014
Wireless networking testbed and emulator (WiNeTestEr).
Proceedings of the 17th ACM International Conference on Modeling, 2014


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