Chao Feng

According to our database, Chao Feng authored at least 30 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A Crowdsensing Intrusion Detection Dataset For Decentralized Federated Learning Models.

Chao Feng, Alberto Huertas Celdrán, Jing Han, Heqing Ren, Xi Cheng, Zien Zeng, Lucas Krauter, Gérôme Bovet, Burkhard Stiller

CoRR, July, 2025

Demo: A Practical Testbed for Decentralized Federated Learning on Physical Edge Devices.

Chao Feng, Nicolas Huber, Alberto Huertas Celdrán, Gérôme Bovet, Burkhard Stiller

CoRR, May, 2025

AugMixCloak: A Defense against Membership Inference Attacks via Image Transformation.

Heqing Ren, Chao Feng, Alberto Huertas Celdrán, Burkhard Stiller

CoRR, May, 2025

GreenDFL: a Framework for Assessing the Sustainability of Decentralized Federated Learning Systems.

Chao Feng, Alberto Huertas Celdrán, Xi Cheng, Gérôme Bovet, Burkhard Stiller

CoRR, February, 2025

DMPA: Model Poisoning Attacks on Decentralized Federated Learning for Model Differences.

Chao Feng, Yunlong Li, Yuanzhe Gao, Alberto Huertas Celdrán, Jan von der Assen, Gérôme Bovet, Burkhard Stiller

CoRR, February, 2025

S-VOTE: Similarity-based Voting for Client Selection in Decentralized Federated Learning.

Pedro Miguel Sánchez Sánchez, Enrique Tomás Martínez Beltrán, Chao Feng, Gérôme Bovet, Gregorio Martínez Pérez, Alberto Huertas Celdrán

CoRR, January, 2025

ColNet: Collaborative Optimization in Decentralized Federated Multi-task Learning Systems.

Chao Feng, Nicolas Fazli Kohler, Alberto Huertas Celdrán, Gérôme Bovet, Burkhard Stiller

CoRR, January, 2025

From Models to Network Topologies: A Topology Inference Attack in Decentralized Federated Learning.

Chao Feng, Yuanzhe Gao, Alberto Huertas Celdrán, Gérôme Bovet, Burkhard Stiller

CoRR, January, 2025

CyberForce: A Federated Reinforcement Learning Framework for Malware Mitigation.

Chao Feng, Alberto Huertas Celdrán, Pedro Miguel Sánchez Sánchez, Jan Kreischer, Jan von der Assen, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller

IEEE Trans. Dependable Secur. Comput., 2025

GuardFS: A file system for integrated detection and mitigation of Linux-based ransomware.

Jan von der Assen, Chao Feng, Alberto Huertas Celdrán, Róbert Oles, Gérôme Bovet, Burkhard Stiller

J. Inf. Secur. Appl., 2025

De-VertiFL: A Solution for Decentralized Vertical Federated Learning.

Alberto Huertas Celdrán, Chao Feng, Sabyasachi Banik, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller

Proceedings of the NOMS 2025 IEEE Network Operations and Management Symposium, 2025

2024

Fedstellar: A Platform for Decentralized Federated Learning.

Enrique Tomás Martínez Beltrán, Ángel Luis Perales Gómez, Chao Feng, Pedro Miguel Sánchez Sánchez, Sergio López Bernal, Gérôme Bovet, Manuel Gil Pérez, Gregorio Martínez Pérez, Alberto Huertas Celdrán

Expert Syst. Appl., 2024

Corrigendum to "Fedstellar: A platform for decentralized federated learning" [Expert Syst. Appl. 242 (2024) 122861].

Enrique Tomás Martínez Beltrán, Ángel Luis Perales Gómez, Chao Feng, Pedro Miguel Sánchez Sánchez, Pedro Guijas Bravo, Sergio López Bernal, Gérôme Bovet, Manuel Gil Pérez, Gregorio Martínez Pérez, Alberto Huertas Celdrán

Expert Syst. Appl., 2024

FedEP: Tailoring Attention to Heterogeneous Data Distribution with Entropy Pooling for Decentralized Federated Learning.

Chao Feng, Hongjie Guan, Alberto Huertas Celdrán, Jan von der Assen, Gérôme Bovet, Burkhard Stiller

CoRR, 2024

Asset-driven Threat Modeling for AI-based Systems.

Jan von der Assen, Jamo Sharif, Chao Feng, Gérôme Bovet, Burkhard Stiller

CoRR, 2024

RCVaR: An economic approach to estimate cyberattacks costs using data from industry reports.

Muriel Figueredo Franco, Fabian Künzler, Jan von der Assen, Chao Feng, Burkhard Stiller

Comput. Secur., 2024

DART: A Solution for decentralized federated learning model robustness analysis.

Chao Feng, Alberto Huertas Celdrán, Jan von der Assen, Enrique Tomás Martínez Beltrán, Gérôme Bovet, Burkhard Stiller

Array, 2024

SecBox: a Lightweight Data Mining Platform for Dynamic and Reproducible Malware Analysis.

Chao Feng, Jan von der Assen, Alberto Huertas Celdrán, Raffael Mogicato, Adrian Zermin, Vichhay Ok, Gérôme Bovet, Burkhard Stiller

Proceedings of the 11th IEEE Swiss Conference on Data Science, 2024

Voyager: MTD-Based Aggregation Protocol for Mitigating Poisoning Attacks on DFL.

Chao Feng, Alberto Huertas Celdrán, Michael Vuong, Gérôme Bovet, Burkhard Stiller

Proceedings of the NOMS 2024 IEEE Network Operations and Management Symposium, 2024

Next Generation of AI-based Ransomware.

Alberto Huertas Celdrán, Jan von der Assen, Chao Feng, Sandro Padovan, Gérôme Bovet, Burkhard Stiller

Proceedings of the 2024 IEEE Global Communications Conference, 2024

Sentinel: An Aggregation Function to Secure Decentralized Federated Learning.

Chao Feng, Alberto Huertas Celdrán, Janosch Baltensperger, Enrique Tomás Martínez Beltrán, Pedro Miguel Sánchez Sánchez, Gérôme Bovet, Burkhard Stiller

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Asset-Centric Threat Modeling for AI-Based Systems.

Jan von der Assen, Jamo Sharif, Chao Feng, Christian Killer, Gérôme Bovet, Burkhard Stiller

Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2024

ThreatFinderAI: Automated Threat Modeling Applied to LLM System Integration.

Jan von der Assen, Alberto Huertas Celdrán, Jamo Sharif, Chao Feng, Gérôme Bovet, Burkhard Stiller

Proceedings of the 20th International Conference on Network and Service Management, 2024

Leveraging MTD to Mitigate Poisoning Attacks in Decentralized FL with Non-IID Data.

Chao Feng, Alberto Huertas Celdrán, Zien Zeng, Zi Ye, Jan von der Assen, Gérôme Bovet, Burkhard Stiller

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Privacy-Preserving and Syscall-Based Intrusion Detection System for IoT Spectrum Sensors Affected by Data Falsification Attacks.

Alberto Huertas Celdrán, Pedro Miguel Sánchez Sánchez, Chao Feng, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller

IEEE Internet Things J., May, 2023

Assessing the Sustainability and Trustworthiness of Federated Learning Models.

Alberto Huertas Celdrán, Chao Feng, Pedro Miguel Sánchez Sánchez, Lynn Zumtaugwald, Gérôme Bovet, Burkhard Stiller

CoRR, 2023

Sentinel: An Aggregation Function to Secure Decentralized Federated Learning.

Chao Feng, Alberto Huertas Celdrán, Janosch Baltensperger, Enrique Tomás Martínez Beltrán, Gérôme Bovet, Burkhard Stiller

CoRR, 2023

Demo: Utilizing SRv6 to Optimize the Routing Behavior for Tactical Networks.

Eryk Schiller, Chao Feng, Rafael Hengen Ribeiro, Francesco Marino, Martin Buck, Burkhard Stiller

Proceedings of the 24th IEEE International Symposium on a World of Wireless, 2023

HomeScout: Anti-Stalking Mobile App for Bluetooth Low Energy Devices.

Katharina O. E. Müller, Louis Bienz, Bruno Rodrigues, Chao Feng, Burkhard Stiller

Proceedings of the 48th IEEE Conference on Local Computer Networks, 2023

2022

An Overview and Ontology of Privacy to Preserve Privacy in Ultra-Wideband Networks.

Katharina O. E. Müller, Jan von der Assen, Chao Feng, Burkhard Stiller

Proceedings of the IEEE Smartworld, 2022