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🔍 florent masseglia 📂 Computer Science
Showing 1603 results for "florent masseglia" in Computer Science
Computer Science Preprint PDF DOI

Optimal Transmitter Placement in Realistic Urban Environments

Lukas Taus, Richard Tsai, Jeffrey G. Andrews · 2026

In a wireless network, the spatial location of the transmitters has a large impact on the achievable rate at each user location. The optimal placement of -- for example -- cellular base stations is a …

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Computer Science Preprint PDF DOI

Beyond Accuracy: LLM Variability in Evidence Screening for Software Engineering SLRs

Gilberto Sussumu Hida, Danilo Monteiro Ribeiro, Erika Yahata · 2026

Context: Study screening in systematic literature reviews is costly, inconsistency-prone, and risk-asymmetric, since false negatives can compromise validity. Despite rapid uptake of Large Language Mod…

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Computer Science Preprint PDF DOI

Bug-Report-Driven Fault Localization: Industrial Benchmarking and Lesson Learned at ABB Robotics

Pernilla Hall, Anton Ununger, Riccardo Rubei, Alessio Bucaioni · 2026

Software quality assurance remains a major challenge in industrial environments, where large-scale and long-lived systems inevitably accumulate defects. Identifying the location of a fault is often ti…

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Computer Science Preprint PDF DOI

Large language models eroding science understanding: an experimental study

Harry Collins, Hartmut Grote, Paul Newbury, Patrick Sutton, Simon Thorne · 2026

This paper is under review in AI and Ethics This study examines whether large language models (LLMs) can reliably answer scientific questions and demonstrates how easily they can be influenced by frin…

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Computer Science Preprint PDF DOI

SeqShield: A Behavioral Analysis Approach to Uncover Rootkits

Paras Ghodeshwar, Sandeep K Shukla, Anand Handa, Nitesh Kumar · 2026

Rootkits are among the most elusive types of malware, capable of bypassing traditional static analysis methods due to their metamorphic behavior. Signature-based detection techniques struggle against …

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Computer Science Preprint PDF DOI

Advanced Anomaly Detection and Threat Intelligence in Zero Trust IoT Environments Using Machine Learning

Muhammad Umair Basharat, Jawad Hussain, Waqas Khalid, Chiew Foong Kwong · 2026

The growing adoption of IoT and cloud computing, combined with rapid advancements in digital technologies, has considerably increased the cyber-attack surface, resulting in increasingly complex and pe…

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Computer Science Preprint PDF DOI

AI-based experts' knowledge visualization of cultural heritage: A case study of Terracotta Warriors

Siyi Li, Yue Jiang, Bowen Jing, Liuyuxin Yang, Yuhe Zhang · 2026

Advancements in 3D modeling,digital display technologies,and the growing availability of digital cultural heritage data have significantly improved the accuracy of heritage depictions and expanded opp…

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Computer Science Preprint PDF DOI

Beyond Explicit Refusals: Soft-Failure Attacks on Retrieval-Augmented Generation

Wentao Zhang, Yan Zhuang, ZhuHang Zheng, Mingfei Zhang, Jiawen Deng, Fuji Ren · 2026

Existing jamming attacks on Retrieval-Augmented Generation (RAG) systems typically induce explicit refusals or denial-of-service behaviors, which are conspicuous and easy to detect. In this work, we f…

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Computer Science Preprint PDF DOI

Feedback-Driven Execution for LLM-Based Binary Analysis

XiangRui Zhang, Qiang Li, Haining Wang · 2026

Binary analysis increasingly relies on large language models (LLMs) to perform semantic reasoning over complex program behaviors. However, existing approaches largely adopt a one-pass execution paradi…

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Computer Science Preprint PDF DOI

Robustness Analysis of Machine Learning Models for IoT Intrusion Detection Under Data Poisoning Attacks

Fortunatus Aabangbio Wulnye, Justice Owusu Agyemang, Kwame Opuni-Boachie Obour Agyekum, Kwame Agyeman-Prempeh Agyekum, Kingsford Sarkodie Obeng Kwakye, Francisca Adomaa Acheampong · 2026

Ensuring the reliability of machine learning-based intrusion detection systems remains a critical challenge in Internet of Things (IoT) environments, particularly as data poisoning attacks increasingl…

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Computer Science Preprint PDF DOI

Head Count: Privacy-Preserving Face-Based Crowd Monitoring

Fatemeh Marzani, Thijs van Ede, Geert Heijenk, Maarten van Steen · 2026

An important aspect of crowd monitoring is knowing how many people we are dealing with. Sometimes, knowing the size of a crowd in a single location and at a specific moment is enough. Matters become p…

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Computer Science Preprint PDF DOI

Anomaly Detection in IEC-61850 GOOSE Networks: Evaluating Unsupervised and Temporal Learning for Real-Time Intrusion Detection

Joseph Moore · 2026

The IEC-61850 GOOSE protocol underpins time-critical communication in modern digital substations but lacks native security mechanisms, leaving it vulnerable to replay, masquerade, and data injection a…

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Computer Science Preprint PDF DOI

Cross-Course Generalizability of SRL-Aligned Predictive Models Using Digital Learning Traces

Jakob Schwerter, Loreen Sabel, Judith Bose, Matthew L. Bernacki, Di Xu, Marko Schmellenkamp, Thomas Zeume, Philipp Doebler · 2026

STEM dropout rates remain high at universities, particularly in computer science programs with theory-intensive courses. Digital learning environments now capture rich behavioral data that could help …

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Computer Science Preprint PDF DOI

VeriX-Anon: A Multi-Layered Framework for Mathematically Verifiable Outsourced Target-Driven Data Anonymization

Miit Daga, Swarna Priya Ramu · 2026

Organisations increasingly outsource privacy-sensitive data transformations to cloud providers, yet no practical mechanism lets the data owner verify that the contracted algorithm was faithfully execu…

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Computer Science Preprint PDF DOI

Socially Fluent, Socially Awkward: Artificial Intelligence Relational Talk Backfires in Commercial Interactions

Stephanie Kwari Dharmaputri, Anish Nagpal, Greg Nyilasy, Jing Lei · 2026

Advancements in Artificial Intelligence (AI) technologies' social fluency are being integrated into commercial interactions. As tools such as OpenAI's assistant are integrated into platforms such as S…

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Computer Science Preprint PDF DOI

A Synthetic Conversational Smishing Dataset for Social Engineering Detection

Carl Lochstampfor, Ayan Roy · 2026

Smishing (SMS phishing) has become a serious cybersecurity threat, especially for elderly and cyber-unaware individuals, causing financial loss and undermining user trust. Although prior work has focu…

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Computer Science Preprint PDF DOI

Optimizing IoT Intrusion Detection with Tabular Foundation Models for Smart City Forensics

Asma Al-Dahmani, Abdulla Bin Safwan, Mohammad Obeidat, Belal Alsinglawi · 2026

Security operations in smart cities demand detection systems that balance accuracy with response time. While ensemble methods like Random Forest achieve high accuracy, their computational overhead imp…

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Computer Science Preprint PDF DOI

HARPO: Hierarchical Agentic Reasoning for User-Aligned Conversational Recommendation

Subham Raj, Aman Vaibhav Jha, Mayank Anand, Sriparna Saha · 2026

Conversational recommender systems (CRSs) operate under incremental preference revelation, requiring systems to make recommendation decisions under uncertainty. While recent approaches particularly th…

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Computer Science Preprint PDF DOI

Script Collapse in Multilingual ASR: Defining and Measuring Script Fidelity Rate

Hanif Rahman · 2026

Word error rate (WER) is the dominant metric for automatic speech recognition, yet it cannot detect a systematic failure mode: models that produce fluent output in the wrong writing system. We define …

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Computer Science Preprint PDF DOI

DeepForestSound: a multi-species automatic detector for passive acoustic monitoring in African tropical forests, a case study in Kibale National Park

Gabriel Dubus, Theau d'Audiffret, Claire Auger, Raphael Cornette, Sylvain Haupert, Innocent Kasekendi, Raymond Katumba, Hugo Magaldi, Lise Pernel, Harold Rugonge, Jerome Sueur, John Justice Tibesigwa, Sabrina Krief · 2026

Passive Acoustic Monitoring (PAM) is widely used for biodiversity assessment. Its application in African tropical forests is limited by scarce annotated data, reducing the performance of general-purpo…

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