3 citations · 3 across the 10 of their papers we have counts for
11 papers
Quantum Workload Privacy Beyond Data Confidentiality
Shaunak Suresh Pawar, Samuel Punch, Krishnendu Guha
Remote quantum computing exposes a confidentiality gap. Standard privacy mechanisms protect quantum states and outputs, but not the scientific structure of a workload. This work re…
A Lightweight Fault-Detection Scheme for Barrett Modular Multiplication Using Multiple Conditional Reduction Paths
Rourab Paul, Paresh Baidya, Krishnendu Guha +1
Polynomial multiplication is the most resource-, time-, and energy-critical operation in lattice-based Post-Quantum Cryptography (PQC) and Fully Homomorphic Encryption (FHE) scheme…
Post-Cut Metadata Inference Attacks on Quantum Circuit Cutting Pipelines
Samuel Punch, Krishnendu Guha, Utz Roedig
Quantum cloud providers can identify a user's algorithm and secret problem structure without ever seeing actual quantum data, simply by analyzing routine metadata collected for bil…
Quantum AI Algorithm Development for Enhanced Cybersecurity: A Hybrid Approach to Malware Detection
Tanya Joshi, Krishnendu Guha
This study explores the application of quantum machine learning (QML) algorithms to enhance cybersecurity threat detection, particularly in the classification of malware and intrus…
Adaptive t Design Dummy-Gate Obfuscation for Cryogenic Scale Enforcement
Samuel Punch, Krishnendu Guha
Cloud quantum services can reveal circuit structure and timing through scheduler metadata, latency patterns, and co-tenant interference. We introduce NADGO (Noise-Adaptive Dummy-Ga…
MAESTROCUT: Dynamic, Noise-Adaptive, and Secure Quantum Circuit Cutting on Near-Term Hardware
Samuel Punch, Krishnendu Guha
We present MaestroCut, a closed-loop framework for quantum circuit cutting that adapts partitioning and shot allocation to device drift and workload variation. MaestroCut tracks a…
Lightweight Fault Detection Architecture for NTT on FPGA
Rourab Paul, Paresh Baidya, Krishnendu Guha
Post-Quantum Cryptographic (PQC) algorithms are mathematically secure and resistant to quantum attacks but can still leak sensitive information in hardware implementations due to n…
Lightweight LSTM Model for Energy Theft Detection via Input Data Reduction
Caylum Collier, Krishnendu Guha
With the increasing integration of smart meters in electrical grids worldwide, detecting energy theft has become a critical and ongoing challenge. Artificial intelligence (AI)-base…
Component Based Quantum Machine Learning Explainability
Barra White, Krishnendu Guha
Explainable ML algorithms are designed to provide transparency and insight into their decision-making process. Explaining how ML models come to their prediction is critical in fiel…
Dynamic Hypergraph Partitioning of Quantum Circuits with Hybrid Execution
Shane Sweeney, Krishnendu Guha
Quantum algorithms offer an exponential speedup over classical algorithms for a range of computational problems. The fundamental mechanisms underlying quantum computation required…
Feature Importance and Explainability in Quantum Machine Learning
Luke Power, Krishnendu Guha
Many Machine Learning (ML) models are referred to as black box models, providing no real insights into why a prediction is made. Feature importance and explainability are important…