Research Area
AI and Networks
Applying AI to networked systems and building communication and compute platforms that support AI workloads.
People
Publications
37 publications
Publications
37 publicationsCNN-Based Multipath-Aware Fingerprinting for Indoor Localization in 6G mm-Wave Networks
@inproceedings{DBLP:conf/iwcmc/AbdmoulahNS26,
author = {Majdi Abdmoulah and Nour Neji and Eckehard Steinbach},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/conf/iwcmc/AbdmoulahNS26.bib},
booktitle = {International Wireless Communications and Mobile Computing, IWCMC 2026, Wuzhou, China, June 1-6, 2026},
doi = {10.1109/IWCMC69287.2026.11580049},
pages = {949--955},
publisher = {IEEE},
timestamp = {Wed, 08 Jul 2026 21:21:48 +0200},
title = {CNN-Based Multipath-Aware Fingerprinting for Indoor Localization in 6G mm-Wave Networks},
url = {https://doi.org/10.1109/IWCMC69287.2026.11580049},
year = {2026}
}
No Further Delay: Making Time an Ally of Edge Computation of AI Workloads
@article{DBLP:journals/iotm/SchulzSRF26,
author = {Jonas Schulz and Patrick Seeling and Martin Reisslein and Frank H. P. Fitzek},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/journals/iotm/SchulzSRF26.bib},
doi = {10.1109/MIOT.2025.3637145},
journal = {IEEE Internet Things Mag.},
number = {2},
pages = {33--40},
timestamp = {Mon, 09 Mar 2026 13:29:24 +0100},
title = {No Further Delay: Making Time an Ally of Edge Computation of AI Workloads},
url = {https://doi.org/10.1109/MIOT.2025.3637145},
volume = {9},
year = {2026}
}
A Tutorial on Data-Driven Quality-of-Experience Modeling With Explainable Artificial Intelligence
@article{DBLP:journals/comsur/WehnerSHS26,
author = {Nikolas Wehner and Anika Seufert and Tobias Hoßfeld and Michael Seufert},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/journals/comsur/WehnerSHS26.bib},
doi = {10.1109/COMST.2025.3583227},
journal = {IEEE Commun. Surv. Tutorials},
pages = {761--799},
timestamp = {Thu, 29 Jan 2026 17:41:14 +0100},
title = {A Tutorial on Data-Driven Quality-of-Experience Modeling With Explainable Artificial Intelligence},
url = {https://doi.org/10.1109/COMST.2025.3583227},
volume = {28},
year = {2026}
}
On LLM-Assisted Generation of Smart Contracts from Business Processes
@inproceedings{DBLP:conf/bpm/StiehleWW25,
author = {Fabian Stiehle and Hans Weytjens and Ingo Weber},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/conf/bpm/StiehleWW25.bib},
booktitle = {Business Process Management Workshops - BPM 2025 International Workshops, Seville, Spain, August 31-September 5, 2025, Revised Selected Papers},
doi = {10.1007/978-3-032-13426-4_24},
editor = {Inge van de Weerd and Bedilia Estrada-Torres and Han van der Aa},
pages = {327--342},
publisher = {Springer},
series = {Lecture Notes in Business Information Processing},
timestamp = {Tue, 30 Jun 2026 08:53:25 +0200},
title = {On LLM-Assisted Generation of Smart Contracts from Business Processes},
url = {https://doi.org/10.1007/978-3-032-13426-4_24},
volume = {569},
year = {2025}
}
Exploring the application of Time Series Foundation Models to network monitoring tasks
@article{DBLP:journals/cn/WehnerCDGHS25,
author = {Nikolas Wehner and Pedro Casas and Katharina Dietz and Stefan Geißler and Tobias Hoßfeld and Michael Seufert},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/journals/cn/WehnerCDGHS25.bib},
doi = {10.1016/J.COMNET.2025.111395},
journal = {Comput. Networks},
pages = {111395},
timestamp = {Thu, 25 Jun 2026 10:32:41 +0200},
title = {Exploring the application of Time Series Foundation Models to network monitoring tasks},
url = {https://doi.org/10.1016/j.comnet.2025.111395},
volume = {269},
year = {2025}
}
ThreatCompute: Leveraging LLMs for Automated Threat Modeling of Cloud-Native Applications
@inproceedings{DBLP:conf/ccsw-ws/WimbauerMSSGHC25,
author = {Anna Wimbauer and Luca Muscariello and Jacques Samain and Lion Steger and Kilian Glas and Max Helm and Georg Carle},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/conf/ccsw-ws/WimbauerMSSGHC25.bib},
booktitle = {Proceedings of the 2025 Cloud Computing Security Workshop, CCSW 2025, Taipei, Taiwan, October 13-17, 2025},
doi = {10.1145/3733812.3765533},
editor = {Paolo Palmieri and Shivam Bhasin},
pages = {14--27},
publisher = {ACM},
timestamp = {Sun, 12 Apr 2026 09:52:53 +0200},
title = {ThreatCompute: Leveraging LLMs for Automated Threat Modeling of Cloud-Native Applications},
url = {https://doi.org/10.1145/3733812.3765533},
year = {2025}
}
Rule-Based Reinforcement Learning on FPGA for QoS-Aware Dynamic Frequency Scaling
@article{DBLP:journals/tvlsi/MaurerMLSHSWH25,
author = {Florian Maurer and Michael Meidinger and Yiming Lu and Matthias Schlemmer and Thomas Hallermeier and Anmol Surhonne and Thomas Wild and Andreas Herkersdorf},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/journals/tvlsi/MaurerMLSHSWH25.bib},
doi = {10.1109/TVLSI.2025.3592300},
journal = {IEEE Trans. Very Large Scale Integr. Syst.},
number = {11},
pages = {3008--3017},
timestamp = {Tue, 31 Mar 2026 08:58:07 +0200},
title = {Rule-Based Reinforcement Learning on FPGA for QoS-Aware Dynamic Frequency Scaling},
url = {https://doi.org/10.1109/tvlsi.2025.3592300},
volume = {33},
year = {2025}
}
Quantifying Model Drift in Machine Learning for Estimating Wireless Link Quality
@inproceedings{DBLP:conf/meditcom/JagadeesanYPNF25,
author = {Aswin Palathumveettil Jagadeesan and Isikcan Yilmaz and Alexandros Palaios and Giang T. Nguyen and Frank H. P. Fitzek},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/conf/meditcom/JagadeesanYPNF25.bib},
booktitle = {IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2025, Nice, France, July 7-10, 2025},
doi = {10.1109/MEDITCOM64437.2025.11104484},
pages = {1--6},
publisher = {IEEE},
timestamp = {Tue, 24 Mar 2026 08:40:43 +0100},
title = {Quantifying Model Drift in Machine Learning for Estimating Wireless Link Quality},
url = {https://doi.org/10.1109/MeditCom64437.2025.11104484},
year = {2025}
}
Tagging Alerts to Adversaries: ML-Enabled Classification Using MITRE ATT&CK
@inproceedings{DBLP:conf/cns/TalpurSKBWF25,
author = {Anum Talpur and Jannik Schröder and Liliana Kistenmacher and Georg T. Becker and Wolfram Wingerath and Mathias Fischer},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/conf/cns/TalpurSKBWF25.bib},
booktitle = {IEEE Conference on Communications and Network Security, CNS 2025, Avignon, France, September 8-11, 2025},
doi = {10.1109/CNS66487.2025.11194941},
pages = {1--9},
publisher = {IEEE},
timestamp = {Tue, 24 Mar 2026 08:37:11 +0100},
title = {Tagging Alerts to Adversaries: ML-Enabled Classification Using MITRE ATT&CK},
url = {https://doi.org/10.1109/CNS66487.2025.11194941},
year = {2025}
}
C2 Beaconing Detection via AI-Based Time-Series Analysis
@inproceedings{DBLP:conf/IEEEares/GuptaPTF25,
author = {Jeetesh Gupta and Jan Pfeifer and Anum Talpur and Mathias Fischer},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/conf/IEEEares/GuptaPTF25.bib},
booktitle = {Availability, Reliability and Security - 20th International Conference, ARES 2025, Ghent, Belgium, August 11-14, 2025, Proceedings, Part II},
doi = {10.1007/978-3-032-00627-1_20},
editor = {Mila Dalla Preda and Sebastian Schrittwieser and Vincent Naessens and Bjorn De Sutter},
pages = {409--419},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
timestamp = {Tue, 24 Mar 2026 08:36:10 +0100},
title = {C2 Beaconing Detection via AI-Based Time-Series Analysis},
url = {https://doi.org/10.1007/978-3-032-00627-1_20},
year = {2025}
}
Private Aggregation in Hierarchical Wireless Federated Learning With Partial and Full Collusion
@article{DBLP:journals/tit/EggerHWB25,
author = {Maximilian Egger and Christoph Hofmeister and Antonia Wachter-Zeh and Rawad Bitar},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/journals/tit/EggerHWB25.bib},
doi = {10.1109/TIT.2025.3606645},
journal = {IEEE Trans. Inf. Theory},
number = {11},
pages = {8977--8992},
timestamp = {Tue, 10 Mar 2026 12:54:38 +0100},
title = {Private Aggregation in Hierarchical Wireless Federated Learning With Partial and Full Collusion},
url = {https://doi.org/10.1109/TIT.2025.3606645},
volume = {71},
year = {2025}
}
LLMs on Edge: Network Traffic Characteristics of Distributed Inference under the Loupe
@inproceedings{DBLP:conf/naic/BuschmannBCB25,
author = {Philippe Buschmann and Arne Broering and Georg Carle and Andreas Blenk},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/conf/naic/BuschmannBCB25.bib},
booktitle = {Proceedings of the 2nd Workshop on Networks for AI Computing, NAIC 2025, Coimbra, Portugal, September 8-11, 2025},
doi = {10.1145/3748273.3749213},
pages = {108--114},
publisher = {ACM},
timestamp = {Thu, 05 Mar 2026 17:17:52 +0100},
title = {LLMs on Edge: Network Traffic Characteristics of Distributed Inference under the Loupe},
url = {https://doi.org/10.1145/3748273.3749213},
year = {2025}
}
Context-Aware Internet-of-Things Communication via Retrieval-Augmented Generation
@inproceedings{DBLP:conf/icc/PouhelaKS25,
author = {Franc Pouhela and Dennis Krummacker and Hans D. Schotten},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/conf/icc/PouhelaKS25.bib},
booktitle = {IEEE International Conference on Communications, ICC 2025 Workshops, Montreal, QC, Canada, June 8-12, 2025},
doi = {10.1109/ICCWORKSHOPS67674.2025.11162197},
pages = {505--511},
publisher = {IEEE},
timestamp = {Wed, 25 Feb 2026 08:25:45 +0100},
title = {Context-Aware Internet-of-Things Communication via Retrieval-Augmented Generation},
url = {https://doi.org/10.1109/ICCWorkshops67674.2025.11162197},
year = {2025}
}
A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications
@inproceedings{DBLP:conf/wf-iot/WangQZS25,
author = {Donglin Wang and Anjie Qiu and Qiuheng Zhou and Hans D. Schotten},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/conf/wf-iot/WangQZS25.bib},
booktitle = {11th IEEE World Forum on Internet of Things, WF-IoT 2025, Chengdu, China, October 27-30, 2025},
doi = {10.1109/WF-IOT64238.2025.11270555},
pages = {1--7},
publisher = {IEEE},
timestamp = {Wed, 04 Feb 2026 13:08:03 +0100},
title = {A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications},
url = {https://doi.org/10.1109/WF-IoT64238.2025.11270555},
year = {2025}
}
Large Process Models: A Vision for Business Process Management in the Age of Generative AI
@article{DBLP:journals/ki/KampikWRAEGHKHDAPRWW25,
author = {Timotheus Kampik and Christian Warmuth and Adrian Rebmann and Ron Agam and Lukas N. P. Egger and Andreas Gerber and Johannes Hoffart and Jonas Kolk and Philipp Herzig and Gero Decker and Han van der Aa and Artem Polyvyanyy and Stefanie Rinderle-Ma and Ingo Weber and Matthias Weidlich},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/journals/ki/KampikWRAEGHKHDAPRWW25.bib},
doi = {10.1007/S13218-024-00863-8},
journal = {Künstliche Intell.},
number = {2},
pages = {81--95},
timestamp = {Sun, 01 Feb 2026 13:41:44 +0100},
title = {Large Process Models: A Vision for Business Process Management in the Age of Generative AI},
url = {https://doi.org/10.1007/s13218-024-00863-8},
volume = {39},
year = {2025}
}
Irreconcilable Differences? Investigating Consensus of Post-hoc XAI for ML-NIDS via Decomposition
@inproceedings{DBLP:conf/cnsm/DietzSGSH25,
author = {Katharina Dietz and Johannes Schleicher and Stefan Geißler and Michael Seufert and Tobias Hoßfeld},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/conf/cnsm/DietzSGSH25.bib},
booktitle = {21st International Conference on Network and Service Management, CNSM 2025, Bologna, Italy, October 27-31, 2025},
doi = {10.23919/CNSM67658.2025.11297526},
editor = {Walter Cerroni and Mauro Tortonesi and Davide Borsatti and Alberto Egon Schaeffer-Filho and Daphné Tuncer and Jérôme François and Martin Husák},
pages = {1--9},
publisher = {IEEE},
timestamp = {Tue, 13 Jan 2026 10:23:09 +0100},
title = {Irreconcilable Differences? Investigating Consensus of Post-hoc XAI for ML-NIDS via Decomposition},
url = {https://doi.org/10.23919/CNSM67658.2025.11297526},
year = {2025}
}
Energy Demand as AI Model Selection Criteria? Assessing Quality and Energy Consumption for AI based KQI Prediction in Video Streaming
@inproceedings{DBLP:conf/cnsm/LohBRSAH25,
author = {Frank Loh and Carina Baur and Flavian Raithel and David Stüber and Omran Ayoub and Tobias Hoßfeld},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/conf/cnsm/LohBRSAH25.bib},
booktitle = {21st International Conference on Network and Service Management, CNSM 2025, Bologna, Italy, October 27-31, 2025},
doi = {10.23919/CNSM67658.2025.11297466},
editor = {Walter Cerroni and Mauro Tortonesi and Davide Borsatti and Alberto Egon Schaeffer-Filho and Daphné Tuncer and Jérôme François and Martin Husák},
pages = {1--7},
publisher = {IEEE},
timestamp = {Tue, 13 Jan 2026 10:23:09 +0100},
title = {Energy Demand as AI Model Selection Criteria? Assessing Quality and Energy Consumption for AI based KQI Prediction in Video Streaming},
url = {https://doi.org/10.23919/CNSM67658.2025.11297466},
year = {2025}
}
Privacy-Preserving Crowd Size Estimation Using Wi-Fi and Machine Learning
@inproceedings{DBLP:conf/mass/TorkamandiHOV25,
author = {Pegah Torkamandi and Navid Hasanzadeh and Jörg Ott and Shahrokh Valaee},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/conf/mass/TorkamandiHOV25.bib},
booktitle = {22nd IEEE International Conference on Mobile Ad-Hoc and Smart Systems, MASS 2025, Chicago, IL, USA, October 6-8, 2025},
doi = {10.1109/MASS66014.2025.00032},
pages = {143--150},
publisher = {IEEE},
timestamp = {Mon, 22 Dec 2025 17:04:02 +0100},
title = {Privacy-Preserving Crowd Size Estimation Using Wi-Fi and Machine Learning},
url = {https://doi.org/10.1109/MASS66014.2025.00032},
year = {2025}
}
Can Differential Privacy Hinder Poisoning Attack Detection in Federated Learning?
@article{DBLP:journals/jsan/AggarwalNMNO25,
author = {Chaitanya Aggarwal and Divya G. Nair and Jafar Mohammadi and Jyothisha J. Nair and Jörg Ott},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/journals/jsan/AggarwalNMNO25.bib},
doi = {10.3390/JSAN14040083},
journal = {J. Sens. Actuator Networks},
number = {4},
pages = {83},
timestamp = {Fri, 31 Oct 2025 14:23:33 +0100},
title = {Can Differential Privacy Hinder Poisoning Attack Detection in Federated Learning?},
url = {https://doi.org/10.3390/jsan14040083},
volume = {14},
year = {2025}
}
Beekeeper: Accelerating Honeypot Analysis With LLM-Driven Feedback
@article{DBLP:journals/access/IlgGDM25,
author = {Niclas Ilg and Dominik Germek and Paul Duplys and Michael Menth},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/journals/access/IlgGDM25.bib},
doi = {10.1109/ACCESS.2025.3613118},
journal = {IEEE Access},
pages = {168034--168054},
timestamp = {Tue, 14 Oct 2025 19:40:09 +0200},
title = {Beekeeper: Accelerating Honeypot Analysis With LLM-Driven Feedback},
url = {https://doi.org/10.1109/ACCESS.2025.3613118},
volume = {13},
year = {2025}
}
Cost-Efficient Distributed Learning via Combinatorial Multi-Armed Bandits
@article{DBLP:journals/entropy/EggerBWG25,
author = {Maximilian Egger and Rawad Bitar and Antonia Wachter-Zeh and Deniz Gündüz},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/journals/entropy/EggerBWG25.bib},
doi = {10.3390/E27050541},
journal = {Entropy},
number = {5},
pages = {541},
timestamp = {Sun, 28 Sep 2025 12:58:04 +0200},
title = {Cost-Efficient Distributed Learning via Combinatorial Multi-Armed Bandits},
url = {https://doi.org/10.3390/e27050541},
volume = {27},
year = {2025}
}
Toward AI in 6G: Concepts, Techniques, and Standards
@article{DBLP:journals/access/ShafaeiPEZPGGGBMHDMKPSR25,
author = {Sina Shafaei and Alexandros Palaios and Zied Ennaceur and Jiajing Zhang and Vedhas Pandit and Pramesh Gautam and Afsaneh Gharouni and Borislava Gajic and Bitan Banerjee and Sachinkumar Bavikatti Mallikarjun and Mohammad Asif Habibi and Phuong Bich Duong and Simone Mangiante and Muhammad Qurratulain Khan and Mohammad Parvini and Philipp Schulz and Faizan Rauf and Norman Franchi and Renato L. G. Cavalcante and Jochen Fink and Philipp Reitz and Maximilian Lübke and Torsten Reißland and Ali El Husseini and Reem Karaki and Zahra Seifaei and Marco Danger and Carsten Bockelmann and Arne Bröring and Guenter Klas and Slawomir Stanczak and Hans D. Schotten and Gerhard P. Fettweis and Admela Jukan and Giang T. Nguyen and Rafael F. Schaefer and Ralf Irmer and Christian Wietfeld and Armin Dekorsy},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/journals/access/ShafaeiPEZPGGGBMHDMKPSR25.bib},
doi = {10.1109/ACCESS.2025.3595752},
journal = {IEEE Access},
pages = {143843--143874},
timestamp = {Thu, 11 Sep 2025 20:23:45 +0200},
title = {Toward AI in 6G: Concepts, Techniques, and Standards},
url = {https://doi.org/10.1109/ACCESS.2025.3595752},
volume = {13},
year = {2025}
}
GraphGPT: An Intent-Based Management System for Next Generation Networks
@inproceedings{DBLP:conf/netsoft/GowthamSRSCM25,
author = {Varun Gowtham and Florian Schreiner and Alqama Rao and Sindhura Shivaprasad and Marius Corici and Thomas Magedanz},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/conf/netsoft/GowthamSRSCM25.bib},
booktitle = {11th IEEE International Conference on Network Softwarization, NetSoft 2025, Budapest, Hungary, June 23-27, 2025},
doi = {10.1109/NETSOFT64993.2025.11080567},
pages = {25–30},
publisher = {IEEE},
timestamp = {Wed, 30 Jul 2025 10:55:06 +0200},
title = {GraphGPT: An Intent-Based Management System for Next Generation Networks},
url = {https://doi.org/10.1109/NetSoft64993.2025.11080567},
year = {2025}
}
Can Ai Agents Meet Beyond 5G and 6G Network Requirements?
@inproceedings{DBLP:conf/netsoft/CoriciCM25,
author = {Marius Corici and Pousali Chakraborty and Thomas Magedanz},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/conf/netsoft/CoriciCM25.bib},
booktitle = {11th IEEE International Conference on Network Softwarization, NetSoft 2025, Budapest, Hungary, June 23-27, 2025},
doi = {10.1109/NETSOFT64993.2025.11080553},
pages = {19–24},
publisher = {IEEE},
timestamp = {Wed, 30 Jul 2025 10:55:06 +0200},
title = {Can Ai Agents Meet Beyond 5G and 6G Network Requirements?},
url = {https://doi.org/10.1109/NetSoft64993.2025.11080553},
year = {2025}
}
On-Demand Container Partitioning for Distributed ML
@inproceedings{DBLP:conf/usenix/BartolomeoAKOM25,
author = {Giovanni Bartolomeo and Navidreza Asadi and Wolfgang Kellerer and Jörg Ott and Nitinder Mohan},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/conf/usenix/BartolomeoAKOM25.bib},
booktitle = {Proceedings of the 2025 USENIX Annual Technical Conference, USENIX ATC 2025, Boston, MA, USA, July 7-9, 2025},
editor = {Deniz Altinbüken and Ryan Stutsman},
pages = {1481--1500},
publisher = {USENIX Association},
timestamp = {Thu, 17 Jul 2025 16:58:23 +0200},
title = {On-Demand Container Partitioning for Distributed ML},
url = {https://www.usenix.org/conference/atc25/presentation/bartolomeo},
year = {2025}
}
ALDExA: Automated LLM-Assisted Detection of CVE Exploitation Attempts in Host-Captured Data
@article{DBLP:journals/access/IlgPGDM25,
author = {Niclas Ilg and Maximilian Pfitzenmaier and Dominik Germek and Paul Duplys and Michael Menth},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/journals/access/IlgPGDM25.bib},
doi = {10.1109/ACCESS.2025.3575258},
journal = {IEEE Access},
pages = {95379--95391},
timestamp = {Fri, 04 Jul 2025 22:11:04 +0200},
title = {ALDExA: Automated LLM-Assisted Detection of CVE Exploitation Attempts in Host-Captured Data},
url = {https://doi.org/10.1109/ACCESS.2025.3575258},
volume = {13},
year = {2025}
}
FARE: A Deep Learning-Based Framework for Radar-Based Face Recognition and Out-of-Distribution Detection
@inproceedings{DBLP:conf/icassp/KahyaSYS25,
author = {Sabri Mustafa Kahya and Boran Hamdi Sivrikaya and Muhammet Sami Yavuz and Eckehard G. Steinbach},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/conf/icassp/KahyaSYS25.bib},
booktitle = {2025 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2025, Hyderabad, India, April 6-11, 2025},
doi = {10.1109/ICASSP49660.2025.10889758},
pages = {1--5},
publisher = {IEEE},
timestamp = {Thu, 03 Jul 2025 17:11:21 +0200},
title = {FARE: A Deep Learning-Based Framework for Radar-Based Face Recognition and Out-of-Distribution Detection},
url = {https://doi.org/10.1109/ICASSP49660.2025.10889758},
year = {2025}
}
FedGT: Identification of Malicious Clients in Federated Learning With Secure Aggregation
@article{DBLP:journals/tifs/XhemrishiOWA25,
author = {Marvin Xhemrishi and Johan Östman and Antonia Wachter-Zeh and Alexandre Graell i Amat},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/journals/tifs/XhemrishiOWA25.bib},
doi = {10.1109/TIFS.2025.3539964},
journal = {IEEE Trans. Inf. Forensics Secur.},
pages = {2577--2592},
timestamp = {Sun, 15 Jun 2025 21:07:14 +0200},
title = {FedGT: Identification of Malicious Clients in Federated Learning With Secure Aggregation},
url = {https://doi.org/10.1109/TIFS.2025.3539964},
volume = {20},
year = {2025}
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Business process improvement with AB testing and reinforcement learning: grounded theory-based industry perspectives
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author = {Aaron Friedrich Kurz and Timotheus Kampik and Luise Pufahl and Ingo Weber},
bibsource = {dblp computer science bibliography, https://dblp.org},
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title = {Business process improvement with AB testing and reinforcement learning: grounded theory-based industry perspectives},
url = {https://doi.org/10.1007/s10270-024-01229-2},
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LLMs for science: Usage for code generation and data analysis
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title = {LLMs for science: Usage for code generation and data analysis},
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Adaption via Selection: On Client Selection to Counter Concept Drift in Federated Learning
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Revisiting Edge AI: Opportunities and Challenges
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title = {Revisiting Edge AI: Opportunities and Challenges},
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QoS-Aware Dynamic Frequency Scaling for Mixed-Critical Systems based on Shielded Reinforcement Learning
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title = {QoS-Aware Dynamic Frequency Scaling for Mixed-Critical Systems based on Shielded Reinforcement Learning},
url = {https://doi.org/10.1109/NorCAS64408.2024.10752457},
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Integrating Online Learning with Collaborative Machine Learning for Continuous Intrusion Detection in SDN
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title = {Integrating Online Learning with Collaborative Machine Learning for Continuous Intrusion Detection in SDN},
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Progressive updates of convolutional neural networks for enhanced reliability in small satellite applications
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FhGenie: A Custom, Confidentiality-Preserving Chat AI for Corporate and Scientific Use
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booktitle = {21st IEEE International Conference on Software Architecture, ICSA 2024 - Companion, Hyderabad, India, June 4-8, 2024},
doi = {10.1109/ICSA-C63560.2024.00011},
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title = {FhGenie: A Custom, Confidentiality-Preserving Chat AI for Corporate and Scientific Use},
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Machine learning in run-time control of multicore processor systems
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title = {Machine learning in run-time control of multicore processor systems},
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volume = {65},
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