activity
20212025
most citedALICE: An Automatic Design Flow for eFPGA Redaction

19 citations · 29 across the 12 of their papers we have counts for

collaborators

14 papers

cs.AR2025

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code

Raghu Vamshi Hemadri, Jitendra Bhandari, Andre Nakkab +5

Modern chip design is complex, and there is a crucial need for early-stage prediction of key design-quality metrics like timing and routing congestion directly from Verilog code (a…

cs.LG2025★ 1 cited

SALAD: Systematic Assessment of Machine Unlearning on LLM-Aided Hardware Design

Zeng Wang, Minghao Shao, Rupesh Karn +6

Large Language Models (LLMs) offer transformative capabilities for hardware design automation, particularly in Verilog code generation. However, they also pose significant data sec…

cs.CR2025★ 3 cited

ARIANNA: An Automatic Design Flow for Fabric Customization and eFPGA Redaction

Luca Collini, Jitendra Bhandari, Chiara Muscari Tomajoli +6

In the modern global Integrated Circuit (IC) supply chain, protecting intellectual property (IP) is a complex challenge, and balancing IP loss risk and added cost for theft counter…

cs.AR2025★ 1 cited

VeriContaminated: Assessing LLM-Driven Verilog Coding for Data Contamination

Zeng Wang, Minghao Shao, Jitendra Bhandari +5

Large Language Models (LLMs) have revolutionized code generation, achieving exceptional results on various established benchmarking frameworks. However, concerns about data contami…

cs.CR2025

VeriLeaky: Navigating IP Protection vs Utility in Fine-Tuning for LLM-Driven Verilog Coding

Zeng Wang, Minghao Shao, Mohammed Nabeel +7

Large language models (LLMs) offer significant potential for coding, yet fine-tuning (FT) with curated data is essential for niche languages like Verilog. Using proprietary intelle…

cs.CR2024

RTL-Breaker: Assessing the Security of LLMs against Backdoor Attacks on HDL Code Generation

Lakshmi Likhitha Mankali, Jitendra Bhandari, Manaar Alam +4

Large language models (LLMs) have demonstrated remarkable potential with code generation/completion tasks for hardware design. In fact, LLM-based hardware description language (HDL…

cs.AR2024★ 1 cited

Masala-CHAI: A Large-Scale SPICE Netlist Dataset for Analog Circuits by Harnessing AI

Jitendra Bhandari, Vineet Bhat, Yuheng He +3

Masala-CHAI is a fully automated framework leveraging large language models (LLMs) to generate Simulation Programs with Integrated Circuit Emphasis (SPICE) netlists. It addresses a…

cs.CR2024★ 1 cited

SENTAUR: Security EnhaNced Trojan Assessment Using LLMs Against Undesirable Revisions

Jitendra Bhandari, Rajat Sadhukhan, Prashanth Krishnamurthy +2

A globally distributed IC supply chain brings risks due to untrusted third parties. The risks span inadvertent use of hardware Trojan (HT), inserted Intellectual Property (3P-IP) o…

cs.CR2024

ASCENT: Amplifying Power Side-Channel Resilience via Learning & Monte-Carlo Tree Search

Jitendra Bhandari, Animesh Basak Chowdhury, Mohammed Nabeel +4

Power side-channel (PSC) analysis is pivotal for securing cryptographic hardware. Prior art focused on securing gate-level netlists obtained as-is from chip design automation, negl…

cs.AR2024★ 1 cited

LLM-Aided Testbench Generation and Bug Detection for Finite-State Machines

Jitendra Bhandari, Johann Knechtel, Ramesh Narayanaswamy +2

This work investigates the potential of tailoring Large Language Models (LLMs), specifically GPT3.5 and GPT4, for the domain of chip testing. A key aspect of chip design is functio…

cs.CR2024

Lightweight Countermeasures Against Static Power Side-Channel Attacks

Jitendra Bhandari, Mohammed Nabeel, Likhitha Mankali +3

This paper presents a novel defense strategy against static power side-channel attacks (PSCAs), a critical threat to cryptographic security. Our method is based on (1) carefully tu…

cs.AR2022★ 19 cited

ALICE: An Automatic Design Flow for eFPGA Redaction

Chiara Muscari Tomajoli, Luca Collini, Jitendra Bhandari +6

Fabricating an integrated circuit is becoming unaffordable for many semiconductor design houses. Outsourcing the fabrication to a third-party foundry requires methods to protect th…

cs.CR2021★ 2 cited

Not All Fabrics Are Created Equal: Exploring eFPGA Parameters For IP Redaction

Jitendra Bhandari, Abdul Khader Thalakkattu Moosa, Benjamin Tan +6

Semiconductor design houses rely on third-party foundries to manufacture their integrated circuits (IC). While this trend allows them to tackle fabrication costs, it introduces sec…

cs.CR2021

Exploring eFPGA-based Redaction for IP Protection

Jitendra Bhandari, Abdul Khader Thalakkattu Moosa, Benjamin Tan +6

Recently, eFPGA-based redaction has been proposed as a promising solution for hiding parts of a digital design from untrusted entities, where legitimate end-users can restore funct…