Content-Agnostic Malware Detection in Heterogeneous Malicious Distribution Graph. - Ibrahim M. Alabdulmohsin; Yufei Han 001; Yun Shen; Xiangliang Zhang 001 (CIKM, 2016)

Partially Supervised Graph Embedding for Positive Unlabelled Feature Selection. - Yufei Han 001; Yun Shen (IJCAI, 2016)

Accurate spear phishing campaign attribution and early detection. - Yufei Han 001; Yun Shen (SAC, 2016)

Mini-Batch Spectral Clustering. - Yufei Han 001; Yun Shen; Maurizio Filippone (CoRR, 2016)

Predicting Cyber Threats with Virtual Security Products. - Shang-Tse Chen; Yufei Han 001; Duen Horng Chau; Christopher S. Gates; Michael Hart; Kevin A. Roundy (ACSAC, 2017)

Marmite: Spreading Malicious File Reputation Through Download Graphs. - Gianluca Stringhini; Yun Shen; Yufei Han 001; Xiangliang Zhang 001 (ACSAC, 2017)

RiskTeller: Predicting the Risk of Cyber Incidents. - Leyla Bilge; Yufei Han 001; Matteo Dell'Amico (CCS, 2017)

Multi-label Learning with Highly Incomplete Data via Collaborative Embedding. - Yufei Han 001; Guolei Sun; Yun Shen; Xiangliang Zhang 001 (KDD, 2018)

Collaborative Graph Walk for Semi-Supervised Multi-label Node Classification. - Uchenna Akujuobi; Yufei Han 001; Qiannan Zhang; Xiangliang Zhang 001 (ICDM, 2019)

Collaborative and Privacy-Preserving Machine Teaching via Consensus Optimization. - Yufei Han 001; Yuzhe Ma; Christopher Gates 002; Kevin A. Roundy; Yun Shen (IJCNN, 2019)

Robust Federated Training via Collaborative Machine Teaching using Trusted Instances. - Yufei Han 001; Xiangliang Zhang 001 (CoRR, 2019)

Prototypical Networks for Multi-Label Learning. - Zhuo Yang; Yufei Han 001; Guoxian Yu; Xiangliang Zhang 001 (CoRR, 2019)

Robust Federated Learning via Collaborative Machine Teaching. - Yufei Han 001; Xiangliang Zhang 001 (AAAI, 2020)

Attackability Characterization of Adversarial Evasion Attack on Discrete Data. - Yutong Wang; Yufei Han 001; Hongyan Bao; Yun Shen; Fenglong Ma; Jin Li 002; Xiangliang Zhang 001 (KDD, 2020)

Recurrent Attention Walk for Semi-supervised Classification. - Uchenna Akujuobi; Qiannan Zhang; Yufei Han 001; Xiangliang Zhang 001 (WSDM, 2020)

Characterizing the Evasion Attackability of Multi-label Classifiers. - Zhuo Yang; Yufei Han 001; Xiangliang Zhang 001 (AAAI, 2021)

Towards Stalkerware Detection with Precise Warnings. - Yufei Han 001; Kevin Alejandro Roundy; Acar Tamersoy (ACSAC, 2021)

Does Every Second Count? Time-based Evolution of Malware Behavior in Sandboxes. - Alexander Küchler; Alessandro Mantovani; Yufei Han 001; Leyla Bilge; Davide Balzarotti (NDSS, 2021)

Attack Transferability Characterization for Adversarially Robust Multi-label Classification. - Zhuo Yang; Yufei Han 001; Xiangliang Zhang 001 (ECML/PKDD (3), 2021)

AdvCat: Domain-Agnostic Robustness Assessment for Cybersecurity-Critical Applications with Categorical Inputs. - Helene Orsini; Hongyan Bao; Yujun Zhou 002; Xiangrui Xu 001; Yufei Han 001; Longyang Yi; Wei Wang 012; Xin Gao 001; Xiangliang Zhang 001 (IEEE Big Data, 2022)

CERBERUS: Exploring Federated Prediction of Security Events. - Mohammad Naseri; Yufei Han 001; Enrico Mariconti; Yun Shen; Gianluca Stringhini; Emiliano De Cristofaro (CCS, 2022)

Finding MNEMON: Reviving Memories of Node Embeddings. - Yun Shen; Yufei Han 001; Zhikun Zhang 001; Min Chen 032; Ting Yu 001; Michael Backes 001; Yang Zhang 016; Gianluca Stringhini (CCS, 2022)

Errors in the CICIDS2017 Dataset and the Significant Differences in Detection Performances It Makes. - Maxime Lanvin; Pierre-François Gimenez; Yufei Han 001; Frédéric Majorczyk; Ludovic Mé; Eric Totel (CRiSIS, 2022)

Towards Understanding the Robustness Against Evasion Attack on Categorical Data. - Hongyan Bao; Yufei Han 001; Yujun Zhou 002; Yun Shen; Xiangliang Zhang 001 (ICLR, 2022)

Model Stealing Attacks Against Inductive Graph Neural Networks. - Yun Shen; Xinlei He 001; Yufei Han 001; Yang Zhang 016 (SP, 2022)

Explainable artificial intelligence for cybersecurity: a literature survey. - Fabien Charmet; Harry Chandra Tanuwidjaja; Solayman Ayoubi; Pierre-François Gimenez; Yufei Han 001; Houda Jmila; Gregory Blanc; Takeshi Takahashi 001; Zonghua Zhang (Ann. des Télécommunications, 2022)

Towards Efficient and Domain-Agnostic Evasion Attack with High-Dimensional Categorical Inputs. - Hongyan Bao; Yufei Han 001; Yujun Zhou 002; Xin Gao 001; Xiangliang Zhang 001 (AAAI, 2023)

Poisoning with Cerberus: Stealthy and Colluded Backdoor Attack against Federated Learning. - Xiaoting Lyu; Yufei Han 001; Wei Wang 012; Jingkai Liu; Bin Wang 062; Jiqiang Liu; Xiangliang Zhang 001 (AAAI, 2023)

Decoding the Secrets of Machine Learning in Malware Classification: A Deep Dive into Datasets, Feature Extraction, and Model Performance. - Savino Dambra; Yufei Han 001; Simone Aonzo; Platon Kotzias; Antonino Vitale; Juan Caballero; Davide Balzarotti; Leyla Bilge (CCS, 2023)

Towards Understanding Alerts raised by Unsupervised Network Intrusion Detection Systems. - Maxime Lanvin; Pierre-François Gimenez; Yufei Han 001; Frédéric Majorczyk; Ludovic Mé; Eric Totel (RAID, 2023)

BAGUETTE: Hunting for Evidence of Malicious Behavior in Dynamic Analysis Reports. - Vincent Raulin; Pierre-François Gimenez; Yufei Han 001; Valérie Viet Triem Tong (SECRYPT, 2023)

Humans vs. Machines in Malware Classification. - Simone Aonzo; Yufei Han 001; Alessandro Mantovani; Davide Balzarotti (USENIX Security Symposium, 2023)

CGIR: Conditional Generative Instance Reconstruction Attacks Against Federated Learning. - Xiangrui Xu 001; Pengrui Liu; Wei Wang 012; Hongliang Ma; Bin Wang 062; Zhen Han 001; Yufei Han 001 (IEEE Trans. Dependable Secur. Comput., 2023)

Defending Jailbreak Prompts via In-Context Adversarial Game. - Yujun Zhou 002; Yufei Han 001; Haomin Zhuang; Kehan Guo; Zhenwen Liang; Hongyan Bao; Xiangliang Zhang 001 (EMNLP, 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 001; Frédéric Majorczyk; Ludovic Mé (EuroS&P Workshops, 2024)

Attack-free Evaluating and Enhancing Adversarial Robustness on Categorical Data. - Yujun Zhou 002; Yufei Han 001; Haomin Zhuang; Hongyan Bao; Xiangliang Zhang 001 (ICML, 2024)

Cross-Context Backdoor Attacks against Graph Prompt Learning. - Xiaoting Lyu; Yufei Han 001; Wei Wang 012; Hangwei Qian; Ivor W. Tsang; Xiangliang Zhang 001 (KDD, 2024)

DYNAMO: Towards Network Attack Campaign Attribution via Density-Aware Active Learning. - Helene Orsini; Yufei Han 001 (SECRYPT, 2024)

BadVFL: Backdoor Attacks in Vertical Federated Learning. - Mohammad Naseri; Yufei Han 001; Emiliano De Cristofaro (SP, 2024)

Lurking in the shadows: Unveiling Stealthy Backdoor Attacks against Personalized Federated Learning. - Xiaoting Lyu; Yufei Han 001; Wei Wang 012; Jingkai Liu; Yongsheng Zhu; Guangquan Xu; Jiqiang Liu; Xiangliang Zhang 001 (USENIX Security Symposium, 2024)

BFS2Adv: Black-box adversarial attack towards hard-to-attack short texts. - Xu Han; Qiang Li 007; Hongbo Cao; Lei Han; Bin Wang 062; Xuhua Bao; Yufei Han 001; Wei Wang 012 (Comput. Secur., 2024)

Manipulating Predictions over Discrete Inputs in Machine Teaching. - Xiaodong Wu; Yufei Han 001; Hayssam Dahrouj; Jianbing Ni; Zhenwen Liang; Xiangliang Zhang 001 (CoRR, 2024)

Defending Jailbreak Prompts via In-Context Adversarial Game. - Yujun Zhou 002; Yufei Han 001; Haomin Zhuang; Taicheng Guo; Kehan Guo; Zhenwen Liang; Hongyan Bao; Xiangliang Zhang 001 (CoRR, 2024)

RobustPFL: Robust Personalized Federated Learning. - Guorong Chen; Wei Wang 012; Yufang Wu; Chao Li 023; Guangquan Xu; Shouling Ji; Tao Li 022; Meng Shen 001; Yufei Han 001 (IEEE Trans. Dependable Secur. Comput., 2025)

CoBA: Collusive Backdoor Attacks With Optimized Trigger to Federated Learning. - Xiaoting Lyu; Yufei Han 001; Wei Wang 012; Jingkai Liu; Bin Wang 062; Kai Chen 012; Yidong Li; Jiqiang Liu; Xiangliang Zhang 001 (IEEE Trans. Dependable Secur. Comput., 2025)

Finding the PISTE: Towards Understanding Privacy Leaks in Vertical Federated Learning Systems. - Xiangrui Xu 001; Wei Wang 012; Zheng Chen; Bin Wang 062; Chao Li 023; Li Duan; Zhen Han 001; Yufei Han 001 (IEEE Trans. Dependable Secur. Comput., 2025)

VFLMonitor: Defending One-Party Hijacking Attacks in Vertical Federated Learning. - Xiangrui Xu 001; Yiwen Zhao; Yufei Han 001; Yongsheng Zhu; Zhen Han 001; Guangquan Xu; Bin Wang 062; Shouling Ji; Wei Wang 012 (IEEE Trans. Inf. Forensics Secur., 2025)

Trust Under Siege: Label Spoofing Attacks against Machine Learning for Android Malware Detection. - Tianwei Lan; Luca Demetrio; Farid Naït-Abdesselam; Yufei Han 001; Simone Aonzo (CoRR, 2025)

Dissecting Logical Reasoning in LLMs: A Fine-Grained Evaluation and Supervision Study. - Yujun Zhou 002; Jiayi Ye; Zipeng Ling; Yufei Han 001; Yue Huang 001; Haomin Zhuang; Zhenwen Liang; Kehan Guo; Taicheng Guo; Xiangqi Wang; Xiangliang Zhang 001 (CoRR, 2025)

PROTEAN: Federated Intrusion Detection in Non-IID Environments through Prototype-Based Knowledge Sharing. - Sara Chennoufi; Yufei Han 001; Gregory Blanc; Emiliano De Cristofaro; Christophe Kiennert (CoRR, 2025)