output
20122026
most citedMQT Bench: Benchmarking Software and Design Automation Tools for Quantum Computing

197 citations

104 papers

cs.CR2026★ 3 cited

Comparative Analysis of SRAM PUF Temperature Susceptibility on Embedded Systems

Martina Zeinzinger, Josef Langer, Florian Eibensteiner +4

An SRAM Physical Unclonable Function (PUF) can distinguish SRAM modules by analyzing the inherent randomness of their start-up behavior. However, the effectiveness of this techniqu…

cs.CR2026★ 2 cited

Software-Hardware Binding for Protection of Sensitive Data in Embedded Software

Bernhard Fischer, Daniel Dorfmeister, Flavio Ferrarotti +4

Embedded software used in industrial systems frequently relies on data that ensures the correct and efficient operation of these systems. Thus, companies invest considerable resour…

cs.CR2026★ 4 cited

A PUF-Based Approach for Copy Protection of Intellectual Property in Neural Network Models

Daniel Dorfmeister, Flavio Ferrarotti, Bernhard Fischer +2

More and more companies' Intellectual Property (IP) is being integrated into Neural Network (NN) models. This IP has considerable value for companies and, therefore, requires adequ…

cs.CR2026★ 4 cited

An Approach for Safe and Secure Software Protection Supported by Symbolic Execution

Daniel Dorfmeister, Flavio Ferrarotti, Bernhard Fischer +3

We introduce a novel copy-protection method for industrial control software. With our method, a program executes correctly only on its target hardware and behaves differently on ot…

cs.MA2025★ 2 cited

An Explanation-oriented Inquiry Dialogue Game for Expert Collaborative Recommendations

Qurat-ul-ain Shaheen, Katarzyna Budzynska, Carles Sierra

This work presents a requirement analysis for collaborative dialogues among medical experts and an inquiry dialogue game based on this analysis for incorporating explainability int…

cs.AI2025★ 3 cited

An Agentic Framework for Rapid Deployment of Edge AI Solutions in Industry 5.0

Jorge Martinez-Gil, Mario Pichler, Nefeli Bountouni +3

We present a novel framework for Industry 5.0 that simplifies the deployment of AI models on edge devices in various industrial settings. The design reduces latency and avoids exte…