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09/20/2023
Trojan Taxonomy in Quantum Computing
Quantum computing introduces unfamiliar security vulnerabilities demandi...
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07/23/2023
WEPRO: Weight Prediction for Efficient Optimization of Hybrid Quantum-Classical Algorithms
The exponential run time of quantum simulators on classical machines and...
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06/29/2023
TrojanNet: Detecting Trojans in Quantum Circuits using Machine Learning
Quantum computing holds tremendous potential for various applications, b...
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06/06/2023
A Reference-less Slope Detection Technique in 65nm for Robust Sensing of 1T1R Arrays
Spin-Torque-Transfer RAM (STTRAM) is a promising technology however proc...
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05/21/2023
Random Relabeling for Efficient Machine Unlearning
Learning algorithms and data are the driving forces for machine learning...
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05/17/2023
Predicting Side Effect of Drug Molecules using Recurrent Neural Networks
Identification and verification of molecular properties such as side eff...
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05/02/2023
Randomized Reversible Gate-Based Obfuscation for Secured Compilation of Quantum Circuit
The success of quantum circuits in providing reliable outcomes for a giv...
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04/21/2023
Shot Optimization in Quantum Machine Learning Architectures to Accelerate Training
In this paper, we propose shot optimization method for QML models at the...
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12/05/2022
Energy-based Generative Models for Target-specific Drug Discovery
Drug targets are the main focus of drug discovery due to their key role ...
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08/16/2022
Quantum Machine Learning for Material Synthesis and Hardware Security
Using quantum computing, this paper addresses two scientifically pressin...
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04/10/2022
Analysis of Power-Oriented Fault Injection Attacks on Spiking Neural Networks
Spiking Neural Networks (SNN) are quickly gaining traction as a viable a...
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04/07/2022
Security Aspects of Quantum Machine Learning: Opportunities, Threats and Defenses
In the last few years, quantum computing has experienced a growth spurt....
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02/02/2022
DeepQMLP: A Scalable Quantum-Classical Hybrid DeepNeural Network Architecture for Classification
Quantum machine learning (QML) is promising for potential speedups and i...
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09/07/2021
ICCAD Special Session Paper: Quantum-Classical Hybrid Machine Learning for Image Classification
Image classification is a major application domain for conventional deep...
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05/18/2021
HeapSafe: Securing Unprotected Heaps in RISC-V
RISC-V is a promising open-source architecture primarily targeted for em...
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05/13/2021
Comprehensive Study of Security and Privacy of Emerging Non-Volatile Memories
At the end of Silicon roadmap, keeping the leakage power in tolerable li...
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04/01/2021
Drug Discovery Approaches using Quantum Machine Learning
Traditional drug discovery pipeline takes several years and cost billion...
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01/09/2021
Quantum Generative Models for Small Molecule Drug Discovery
Existing drug discovery pipelines take 5-10 years and cost billions of d...
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11/01/2020
Addressing Resiliency of In-Memory Floating Point Computation
In-memory computing (IMC) can eliminate the data movement between proces...
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07/28/2020
Quantum-soft QUBO Suppression for Accurate Object Detection
Non-maximum suppression (NMS) has been adopted by default for removing r...
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06/23/2020
SCARE: Side Channel Attack on In-Memory Computing for Reverse Engineering
In-memory computing architectures provide a much needed solution to ener...
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02/04/2020
Accelerating Quantum Approximate Optimization Algorithm using Machine Learning
We propose a machine learning based approach to accelerate quantum appro...
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01/03/2020
TrappeD: DRAM Trojan Designs for Information Leakage and Fault Injection Attacks
In this paper, we investigate the advanced circuit features such as word...
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04/15/2019
