Likhitha Mankali

Orcid: 0000-0002-8459-1703

Affiliations:
  • New York University, Tandon School of Engineering, NY, USA
  • New York University Abu Dhabi, UAE


According to our database1, Likhitha Mankali authored at least 15 papers between 2021 and 2025.

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Bibliography

2025
SecureX: Strategically Securing Designs Against Oracle-Less Attacks Using GNN-Based Explainers.
IEEE Trans. Circuits Syst. I Regul. Pap., July, 2025

SALAD: Systematic Assessment of Machine Unlearing on LLM-Aided Hardware Design.
CoRR, June, 2025

VeriContaminated: Assessing LLM-Driven Verilog Coding for Data Contamination.
CoRR, March, 2025

VeriLeaky: Navigating IP Protection vs Utility in Fine-Tuning for LLM-Driven Verilog Coding.
CoRR, March, 2025

LiCSPA: Lightweight Countermeasure against Static Power Side-Channel Attacks.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

RTL-Breaker: Assessing the Security of LLMs Against Backdoor Attacks on HDL Code Generation.
Proceedings of the Design, Automation & Test in Europe Conference, 2025

2024
Beware Your Standard Cells! On Their Role in Static Power Side-Channel Attacks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., December, 2024

NiLoPher: Breaking a Modern SAT-Hardened Logic-Locking Scheme via Power Analysis Attack.
IACR Cryptol. ePrint Arch., 2024

Lightweight Masking Against Static Power Side-Channel Attacks.
CoRR, 2024

INSIGHT: Attacking Industry-Adopted Learning Resilient Logic Locking Techniques Using Explainable Graph Neural Network.
Proceedings of the 33rd USENIX Security Symposium, 2024

LLMs and the Future of Chip Design: Unveiling Security Risks and Building Trust.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2024

2023
VIGILANT: Vulnerability Detection Tool Against Fault-Injection Attacks for Locking Techniques.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2023

Titan: Security Analysis of Large-Scale Hardware Obfuscation Using Graph Neural Networks.
IEEE Trans. Inf. Forensics Secur., 2023

UN-SPLIT: Attacking Split Manufacturing Using Link Prediction in Graph Neural Networks.
Proceedings of the Security, Privacy, and Applied Cryptography Engineering, 2023

2021
Design and Analysis of SRAM Cell using Negative Bit-Line Write Assist Technique and Separate Read Port for High-Speed Applications.
J. Circuits Syst. Comput., 2021


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