Yufei Han

According to our database, Yufei Han authored at least 50 papers between 2016 and 2025.

Collaborative distances:

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

2025

PROTEAN: Federated Intrusion Detection in Non-IID Environments through Prototype-Based Knowledge Sharing.

Sara Chennoufi, Yufei Han, Gregory Blanc, Emiliano De Cristofaro, Christophe Kiennert

CoRR, July, 2025

Dissecting Logical Reasoning in LLMs: A Fine-Grained Evaluation and Supervision Study.

Yujun Zhou, Jiayi Ye, Zipeng Ling, Yufei Han, Yue Huang, Haomin Zhuang, Zhenwen Liang, Kehan Guo, Taicheng Guo, Xiangqi Wang, Xiangliang Zhang

CoRR, June, 2025

Trust Under Siege: Label Spoofing Attacks against Machine Learning for Android Malware Detection.

Tianwei Lan, Luca Demetrio, Farid Naït-Abdesselam, Yufei Han, Simone Aonzo

CoRR, March, 2025

VFLMonitor: Defending One-Party Hijacking Attacks in Vertical Federated Learning.

Xiangrui Xu, Yiwen Zhao, Yufei Han, Yongsheng Zhu, Zhen Han, Guangquan Xu, Bin Wang, Shouling Ji, Wei Wang

IEEE Trans. Inf. Forensics Secur., 2025

Finding the PISTE: Towards Understanding Privacy Leaks in Vertical Federated Learning Systems.

Xiangrui Xu, Wei Wang, Zheng Chen, Bin Wang, Chao Li, Li Duan, Zhen Han, Yufei Han

IEEE Trans. Dependable Secur. Comput., 2025

CoBA: Collusive Backdoor Attacks With Optimized Trigger to Federated Learning.

Xiaoting Lyu, Yufei Han, Wei Wang, Jingkai Liu, Bin Wang, Kai Chen, Yidong Li, Jiqiang Liu, Xiangliang Zhang

IEEE Trans. Dependable Secur. Comput., 2025

RobustPFL: Robust Personalized Federated Learning.

Guorong Chen, Wei Wang, Yufang Wu, Chao Li, Guangquan Xu, Shouling Ji, Tao Li, Meng Shen, Yufei Han

IEEE Trans. Dependable Secur. Comput., 2025

2024

Defending Jailbreak Prompts via In-Context Adversarial Game.

Yujun Zhou, Yufei Han, Haomin Zhuang, Taicheng Guo, Kehan Guo, Zhenwen Liang, Hongyan Bao, Xiangliang Zhang

CoRR, 2024

Manipulating Predictions over Discrete Inputs in Machine Teaching.

Xiaodong Wu, Yufei Han, Hayssam Dahrouj, Jianbing Ni, Zhenwen Liang, Xiangliang Zhang

CoRR, 2024

BFS2Adv: Black-box adversarial attack towards hard-to-attack short texts.

Xu Han, Qiang Li, Hongbo Cao, Lei Han, Bin Wang, Xuhua Bao, Yufei Han, Wei Wang

Comput. Secur., 2024

Lurking in the shadows: Unveiling Stealthy Backdoor Attacks against Personalized Federated Learning.

Xiaoting Lyu, Yufei Han, Wei Wang, Jingkai Liu, Yongsheng Zhu, Guangquan Xu, Jiqiang Liu, Xiangliang Zhang

Proceedings of the 33rd USENIX Security Symposium, 2024

BadVFL: Backdoor Attacks in Vertical Federated Learning.

Mohammad Naseri, Yufei Han, Emiliano De Cristofaro

Proceedings of the IEEE Symposium on Security and Privacy, 2024

DYNAMO: Towards Network Attack Campaign Attribution via Density-Aware Active Learning.

Helene Orsini, Yufei Han

Proceedings of the 21st International Conference on Security and Cryptography, 2024

Cross-Context Backdoor Attacks against Graph Prompt Learning.

Xiaoting Lyu, Yufei Han, Wei Wang, Hangwei Qian, Ivor W. Tsang, Xiangliang Zhang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Attack-free Evaluating and Enhancing Adversarial Robustness on Categorical Data.

Yujun Zhou, Yufei Han, Haomin Zhuang, Hongyan Bao, Xiangliang Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

A Tale of Two Methods: Unveiling the Limitations of GAN and the Rise of Bayesian Networks for Synthetic Network Traffic Generation.

Adrien Schoen, Gregory Blanc, Pierre-François Gimenez, Yufei Han, Frédéric Majorczyk, Ludovic Mé

Proceedings of the IEEE European Symposium on Security and Privacy Workshops, 2024

Defending Jailbreak Prompts via In-Context Adversarial Game.

Yujun Zhou, Yufei Han, Haomin Zhuang, Kehan Guo, Zhenwen Liang, Hongyan Bao, Xiangliang Zhang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

CGIR: Conditional Generative Instance Reconstruction Attacks Against Federated Learning.

Xiangrui Xu, Pengrui Liu, Wei Wang, Hongliang Ma, Bin Wang, Zhen Han, Yufei Han

IEEE Trans. Dependable Secur. Comput., 2023

Humans vs. Machines in Malware Classification.

Simone Aonzo, Yufei Han, Alessandro Mantovani, Davide Balzarotti

Proceedings of the 32nd USENIX Security Symposium, 2023

BAGUETTE: Hunting for Evidence of Malicious Behavior in Dynamic Analysis Reports.

Vincent Raulin, Pierre-François Gimenez, Yufei Han, Valérie Viet Triem Tong

Proceedings of the 20th International Conference on Security and Cryptography, 2023

Towards Understanding Alerts raised by Unsupervised Network Intrusion Detection Systems.

Maxime Lanvin, Pierre-François Gimenez, Yufei Han, Frédéric Majorczyk, Ludovic Mé, Eric Totel

Proceedings of the 26th International Symposium on Research in Attacks, 2023

Decoding the Secrets of Machine Learning in Malware Classification: A Deep Dive into Datasets, Feature Extraction, and Model Performance.

Savino Dambra, Yufei Han, Simone Aonzo, Platon Kotzias, Antonino Vitale, Juan Caballero, Davide Balzarotti, Leyla Bilge

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

Poisoning with Cerberus: Stealthy and Colluded Backdoor Attack against Federated Learning.

Xiaoting Lyu, Yufei Han, Wei Wang, Jingkai Liu, Bin Wang, Jiqiang Liu, Xiangliang Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Towards Efficient and Domain-Agnostic Evasion Attack with High-Dimensional Categorical Inputs.

Hongyan Bao, Yufei Han, Yujun Zhou, Xin Gao, Xiangliang Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Explainable artificial intelligence for cybersecurity: a literature survey.

Fabien Charmet, Harry Chandra Tanuwidjaja, Solayman Ayoubi, Pierre-François Gimenez, Yufei Han, Houda Jmila, Gregory Blanc, Takeshi Takahashi, Zonghua Zhang

Ann. des Télécommunications, 2022

Model Stealing Attacks Against Inductive Graph Neural Networks.

Yun Shen, Xinlei He, Yufei Han, Yang Zhang

Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

Towards Understanding the Robustness Against Evasion Attack on Categorical Data.

Hongyan Bao, Yufei Han, Yujun Zhou, Yun Shen, Xiangliang Zhang

Proceedings of the Tenth International Conference on Learning Representations, 2022

Errors in the CICIDS2017 Dataset and the Significant Differences in Detection Performances It Makes.

Maxime Lanvin, Pierre-François Gimenez, Yufei Han, Frédéric Majorczyk, Ludovic Mé, Eric Totel

Proceedings of the Risks and Security of Internet and Systems, 2022

Finding MNEMON: Reviving Memories of Node Embeddings.

Yun Shen, Yufei Han, Zhikun Zhang, Min Chen, Ting Yu, Michael Backes, Yang Zhang, Gianluca Stringhini

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

CERBERUS: Exploring Federated Prediction of Security Events.

Mohammad Naseri, Yufei Han, Enrico Mariconti, Yun Shen, Gianluca Stringhini, Emiliano De Cristofaro

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

AdvCat: Domain-Agnostic Robustness Assessment for Cybersecurity-Critical Applications with Categorical Inputs.

Helene Orsini, Hongyan Bao, Yujun Zhou, Xiangrui Xu, Yufei Han, Longyang Yi, Wei Wang, Xin Gao, Xiangliang Zhang

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Attack Transferability Characterization for Adversarially Robust Multi-label Classification.

Zhuo Yang, Yufei Han, Xiangliang Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Does Every Second Count? Time-based Evolution of Malware Behavior in Sandboxes.

Alexander Küchler, Alessandro Mantovani, Yufei Han, Leyla Bilge, Davide Balzarotti

Proceedings of the 28th Annual Network and Distributed System Security Symposium, 2021

Towards Stalkerware Detection with Precise Warnings.

Yufei Han, Kevin Alejandro Roundy, Acar Tamersoy

Proceedings of the ACSAC '21: Annual Computer Security Applications Conference, Virtual Event, USA, December 6, 2021

Characterizing the Evasion Attackability of Multi-label Classifiers.

Zhuo Yang, Yufei Han, Xiangliang Zhang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Recurrent Attention Walk for Semi-supervised Classification.

Uchenna Akujuobi, Qiannan Zhang, Yufei Han, Xiangliang Zhang

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Attackability Characterization of Adversarial Evasion Attack on Discrete Data.

Yutong Wang, Yufei Han, Hongyan Bao, Yun Shen, Fenglong Ma, Jin Li, Xiangliang Zhang

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Robust Federated Learning via Collaborative Machine Teaching.

Yufei Han, Xiangliang Zhang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Prototypical Networks for Multi-Label Learning.

Zhuo Yang, Yufei Han, Guoxian Yu, Xiangliang Zhang

CoRR, 2019

Robust Federated Training via Collaborative Machine Teaching using Trusted Instances.

Yufei Han, Xiangliang Zhang

CoRR, 2019

Collaborative and Privacy-Preserving Machine Teaching via Consensus Optimization.

Yufei Han, Yuzhe Ma, Christopher Gates, Kevin A. Roundy, Yun Shen

Proceedings of the International Joint Conference on Neural Networks, 2019

Collaborative Graph Walk for Semi-Supervised Multi-label Node Classification.

Uchenna Akujuobi, Yufei Han, Qiannan Zhang, Xiangliang Zhang

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018

Multi-label Learning with Highly Incomplete Data via Collaborative Embedding.

Yufei Han, Guolei Sun, Yun Shen, Xiangliang Zhang

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017

RiskTeller: Predicting the Risk of Cyber Incidents.

Leyla Bilge, Yufei Han, Matteo Dell'Amico

Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017

Marmite: Spreading Malicious File Reputation Through Download Graphs.

Gianluca Stringhini, Yun Shen, Yufei Han, Xiangliang Zhang

Proceedings of the 33rd Annual Computer Security Applications Conference, 2017

Predicting Cyber Threats with Virtual Security Products.

Shang-Tse Chen, Yufei Han, Duen Horng Chau, Christopher S. Gates, Michael Hart, Kevin A. Roundy

Proceedings of the 33rd Annual Computer Security Applications Conference, 2017

2016

Mini-Batch Spectral Clustering.

Yufei Han, Yun Shen, Maurizio Filippone

CoRR, 2016

Accurate spear phishing campaign attribution and early detection.

Yufei Han, Yun Shen

Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

Partially Supervised Graph Embedding for Positive Unlabelled Feature Selection.

Yufei Han, Yun Shen

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Content-Agnostic Malware Detection in Heterogeneous Malicious Distribution Graph.

Ibrahim M. Alabdulmohsin, Yufei Han, Yun Shen, Xiangliang Zhang

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016