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๐Ÿ” matthias wilhelm ๐Ÿ“‚ Computer Science
Showing 83 results for "matthias wilhelm" in Computer Science
Computer Science Preprint PDF DOI

AVISE: Framework for Evaluating the Security of AI Systems

Mikko Lempinen, Joni Kemppainen, Niklas Raesalmi ยท 2026

As artificial intelligence (AI) systems are increasingly deployed across critical domains, their security vulnerabilities pose growing risks of high-profile exploits and consequential system failures.โ€ฆ

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SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection

Zhengyang Shan, Xu Qian, Jiayun Xin, Minghui Xu, Yue Zhang, Zhen Yang, Hao Wu, Xiuzhen Cheng ยท 2026

Software vulnerabilities are a primary threat to modern infrastructure. While static analysis and Graph Neural Networks have long served as the foundation for vulnerability detection, the emergence ofโ€ฆ

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Computer Science Preprint PDF DOI

Non-Clashing Teaching in Graphs: Algorithms, Complexity, and Bounds

Sujoy Bhore, Liana Khazaliya, Fionn Mc Inerney ยท 2026

Kirkpatrick et al. [ALT 2019] and Fallat et al. [JMLR 2023] introduced non-clashing teaching and proved that it is the most efficient batch machine teaching model satisfying the collusion-avoidance beโ€ฆ

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Computer Science Preprint PDF DOI

Sticky Help, Bounded Effects: Session-by-Session Analytics of Teacher Interventions in K-12 Classrooms

Qiao Jin, Conrad Borchers, Ashish Gurung, Sean Jackson, Sameeksha Agarwal, Cancan Wang, YiChen Yu, Pragati Maheshwary, Vincent Aleven ยท 2026

Teachers' in-the-moment support is a limited resource in technology-supported classrooms, and teachers must decide whom to help and when during ongoing student work. However, less is known about how sโ€ฆ

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Computer Science Preprint PDF DOI

Brief but Impactful: How Human Tutoring Interactions Shape Engagement in Online Learning

Conrad Borchers, Ashish Gurung, Qinyi Liu, Danielle R. Thomas, Mohammad Khalil, Kenneth R. Koedinger ยท 2026

Learning analytics can guide human tutors to efficiently address motivational barriers to learning that AI systems struggle to support. Students become more engaged when they receive human attention. โ€ฆ

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Computer Science Preprint PDF DOI

Evaluating MCC for Low-Frequency Cyberattack Detection in Imbalanced Intrusion Detection Data

Prameshwar Thiyagarajan, Chad A. Williams ยท 2025

In many real-world network environments, several types of cyberattacks occur at very low rates compared to benign traffic, making them difficult for intrusion detection systems (IDS) to detect reliablโ€ฆ

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Computer Science Preprint PDF DOI

Mitigation of multi-path propagation artefacts in acoustic targets with adaptive cepstral filtering

Lucas C. F. Domingos, Russell S. A. Brinkworth, Paulo E. Santos, Karl Sammut ยท 2025

Passive acoustic sensing is a cost-effective solution for monitoring moving targets such as vessels and aircraft, but its performance is hindered by complex propagation effects like multi-path reflectโ€ฆ

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Computer Science Preprint PDF DOI

LLM4SCREENLIT: Recommendations on Assessing the Performance of Large Language Models for Screening Literature in Systematic Reviews

Lech Madeyski, Barbara Kitchenham, Martin Shepperd ยท 2025

Context: Large language models (LLMs) are increasingly used to screen literature for systematic reviews (SRs), but the standard confusion-matrix metrics used to evaluate them can mislead under the imbโ€ฆ

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A multi-layered embedded intrusion detection framework for programmable logic controllers

Rishabh Das. Aaron Werth, Tommy Morris ยท 2025

Industrial control system (ICS) operations use trusted endpoints like human machine interfaces (HMIs) and workstations to relay commands to programmable logic controllers (PLCs). Because most PLCs lacโ€ฆ

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A Comparative Analysis of Ensemble-Based Machine Learning Approaches with Explainable AI for Multi-Class Intrusion Detection in Drone Networks

Md. Alamgir Hossain, Waqas Ishtiaq, Md. Samiul Islam ยท 2025

The growing integration of drones into civilian, commercial, and defense sectors introduces significant cybersecurity concerns, particularly with the increased risk of network-based intrusions targetiโ€ฆ

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Normalized Square Root: Sharper Matrix Factorization Bounds for Differentially Private Continual Counting

Monika Henzinger, Nikita P. Kalinin, Jalaj Upadhyay ยท 2025

The factorization norms of the lower-triangular all-ones $n \times n$ matrix, $\gamma_2(M_{count})$ and $\gamma_{F}(M_{count})$, play a central role in differential privacy as they are used to give thโ€ฆ

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Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models

Tanni Dev, Sayma Sultana, Amiangshu Bosu ยท 2025

Background: Sexist and misogynistic behavior significantly hinders inclusion in technical communities like GitHub, causing developers, especially minorities, to leave due to subtle biases and microaggโ€ฆ

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WiLLM: an Open Framework for LLM Services over Wireless Systems

Boyi Liu, Yongguang Lu, Jianguo Zhao, Qiang Yang, Wen Wu, Lin Chen, Jagmohan Chauhan, Jun Zhang ยท 2025

Large Language Model (LLM) services fundamentally differ from traditional Deep Neural Network (DNN) applications in wireless networks. We identify three critical distinctions: (1) unlike traditional Dโ€ฆ

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Towards Automated Detection of Inline Code Comment Smells

Ipek Oztas, U Boran Torun, Eray Tuzun ยท 2025

Code comments are important in software development because they directly influence software maintainability and overall quality. Bad practices of code comments lead to code comment smells, negativelyโ€ฆ

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Optimized detection of cyber-attacks on IoT networks via hybrid deep learning models

Ahmed Bensaoud, Jugal Kalita ยท 2025

The rapid expansion of Internet of Things (IoT) devices has increased the risk of cyber-attacks, making effective detection essential for securing IoT networks. This work introduces a novel approach cโ€ฆ

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A Unified Framework for Initial Semantics

Thomas Lamiaux, Benedikt Ahrens ยท 2025

Initial semantics aims to capture inductive structures and their properties as initial objects in suitable categories. We focus on the initial semantics aiming to model the syntax and substitution strโ€ฆ

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Identifying Flaky Tests in Quantum Code: A Machine Learning Approach

Khushdeep Kaur, Dongchan Kim, Ainaz Jamshidi, Lei Zhang ยท 2025

Testing and debugging quantum software pose significant challenges due to the inherent complexities of quantum mechanics, such as superposition and entanglement. One challenge is indeterminacy, a fundโ€ฆ

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Computer Science Preprint PDF DOI

On the thinness of trees

Flavia Bonomo-Braberman, Eric Brandwein, Carolina Lucia Gonzalez, Agustin Sansone ยท 2025

The study of structural graph width parameters like tree-width, clique-width and rank-width has been ongoing during the last five decades, and their algorithmic use has also been increasing [Cygan et โ€ฆ

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I Can Find You in Seconds! Leveraging Large Language Models for Code Authorship Attribution

Soohyeon Choi, Yong Kiam Tan, Mark Huasong Meng, Mohamed Ragab, Soumik Mondal, David Mohaisen, Khin Mi Mi Aung ยท 2025

Source code authorship attribution is important in software forensics, plagiarism detection, and protecting software patch integrity. Existing techniques often rely on supervised machine learning, whiโ€ฆ

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A Sysmon Incremental Learning System for Ransomware Analysis and Detection

Jamil Ispahany, MD Rafiqul Islam, M. Arif Khan, MD Zahidul Islam ยท 2025

In the face of increasing cyber threats, particularly ransomware attacks, there is a pressing need for advanced detection and analysis systems that adapt to evolving malware behaviours. Throughout theโ€ฆ

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