Utility-Aware Synthesis of Differentially Private and Attack-Resilient Location Traces. - Mehmet Emre Gursoy; Ling Liu 001; Stacey Truex; Lei Yu 002; Wenqi Wei 001 (CCS, 2018)

Benchmarking Deep Learning Frameworks: Design Considerations, Metrics and Beyond. - Ling Liu 001; Yanzhao Wu 001; Wenqi Wei 001; Wenqi Cao; Semih Sahin; Qi Zhang 009 (ICDCS, 2018)

Adversarial Examples in Deep Learning: Characterization and Divergence. - Wenqi Wei 001; Ling Liu 001; Stacey Truex; Lei Yu 002; Mehmet Emre Gursoy (CoRR, 2018)

Towards Demystifying Membership Inference Attacks. - Stacey Truex; Ling Liu 001; Mehmet Emre Gursoy; Lei Yu 002; Wenqi Wei 001 (CoRR, 2018)

Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks. - Ka Ho Chow; Wenqi Wei 001; Yanzhao Wu 001; Ling Liu 001 (IEEE BigData, 2019)

Demystifying Learning Rate Policies for High Accuracy Training of Deep Neural Networks. - Yanzhao Wu 001; Ling Liu 001; Juhyun Bae; Ka Ho Chow; Arun Iyengar; Calton Pu; Wenqi Wei 001; Lei Yu 002; Qi Zhang 009 (IEEE BigData, 2019)

Deep Neural Network Ensembles Against Deception: Ensemble Diversity, Accuracy and Robustness. - Ling Liu 001; Wenqi Wei 001; Ka Ho Chow; Margaret Loper; Mehmet Emre Gursoy; Stacey Truex; Yanzhao Wu 001 (MASS, 2019)

Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability. - Stacey Truex; Ling Liu 001; Mehmet Emre Gursoy; Wenqi Wei 001; Lei Yu 002 (TPS-ISA, 2019)

Demystifying Learning Rate Polices for High Accuracy Training of Deep Neural Networks. - Yanzhao Wu 001; Ling Liu 001; Juhyun Bae; Ka Ho Chow; Arun Iyengar; Calton Pu; Wenqi Wei 001; Lei Yu 002; Qi Zhang 009 (CoRR, 2019)

Promoting High Diversity Ensemble Learning with EnsembleBench. - Yanzhao Wu 001; Ling Liu 001; Zhongwei Xie; Juhyun Bae; Ka Ho Chow; Wenqi Wei 001 (CogMI, 2020)

Understanding Object Detection Through an Adversarial Lens. - Ka Ho Chow; Ling Liu 001; Mehmet Emre Gursoy; Stacey Truex; Wenqi Wei 001; Yanzhao Wu 001 (ESORICS (2), 2020)

A Framework for Evaluating Client Privacy Leakages in Federated Learning. - Wenqi Wei 001; Ling Liu 001; Margaret Loper; Ka Ho Chow; Mehmet Emre Gursoy; Stacey Truex; Yanzhao Wu 001 (ESORICS (1), 2020)

LDP-Fed: federated learning with local differential privacy. - Stacey Truex; Ling Liu 001; Ka Ho Chow; Mehmet Emre Gursoy; Wenqi Wei 001 (EdgeSys@EuroSys, 2020)

Cross-Layer Strategic Ensemble Defense Against Adversarial Examples. - Wenqi Wei 001; Ling Liu 001; Margaret Loper; Ka Ho Chow; Mehmet Emre Gursoy; Stacey Truex; Yanzhao Wu 001 (ICNC, 2020)

Adversarial Objectness Gradient Attacks in Real-time Object Detection Systems. - Ka Ho Chow; Ling Liu 001; Margaret Loper; Juhyun Bae; Mehmet Emre Gursoy; Stacey Truex; Wenqi Wei 001; Yanzhao Wu 001 (TPS-ISA, 2020)

Adversarial Deception in Deep Learning: Analysis and Mitigation. - Wenqi Wei 001; Ling Liu 001; Margaret Loper; Ka Ho Chow; Mehmet Emre Gursoy; Stacey Truex; Yanzhao Wu 001 (TPS-ISA, 2020)

TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems. - Ka Ho Chow; Ling Liu 001; Mehmet Emre Gursoy; Stacey Truex; Wenqi Wei 001; Yanzhao Wu 001 (CoRR, 2020)

A Framework for Evaluating Gradient Leakage Attacks in Federated Learning. - Wenqi Wei 001; Ling Liu 001; Margaret Loper; Ka Ho Chow; Mehmet Emre Gursoy; Stacey Truex; Yanzhao Wu 001 (CoRR, 2020)

Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics. - Yanzhao Wu 001; Ling Liu 001; Zhongwei Xie; Ka Ho Chow; Wenqi Wei 001 (CVPR, 2021)

Gradient-Leakage Resilient Federated Learning. - Wenqi Wei 001; Ling Liu 001; Yanzhao Wu 001; Gong Su; Arun Iyengar (ICDCS, 2021)

The TSC-PFed Architecture for Privacy-Preserving FL. - Stacey Truex; Ling Liu 001; Mehmet Emre Gursoy; Wenqi Wei 001; Ka Ho Chow (TPS-ISA, 2021)

Secure and Utility-Aware Data Collection with Condensed Local Differential Privacy. - Mehmet Emre Gursoy; Acar Tamersoy; Stacey Truex; Wenqi Wei 001; Ling Liu 001 (IEEE Trans. Dependable Secur. Comput., 2021)

Robust Deep Learning Ensemble Against Deception. - Wenqi Wei 001; Ling Liu 001 (IEEE Trans. Dependable Secur. Comput., 2021)

Bitcoin Transaction Forecasting With Deep Network Representation Learning. - Wenqi Wei 001; Qi Zhang 009; Ling Liu 001 (IEEE Trans. Emerg. Top. Comput., 2021)

Demystifying Membership Inference Attacks in Machine Learning as a Service. - Stacey Truex; Ling Liu 001; Mehmet Emre Gursoy; Lei Yu 002; Wenqi Wei 001 (IEEE Trans. Serv. Comput., 2021)

Graph Representation Learning based Vulnerable Target Identification in Ransomware Attacks. - Wenqi Wei 001; Mu Qiao; Eric Butler; Divyesh Jadav (IEEE Big Data, 2022)

An Adversarial Approach to Protocol Analysis and Selection in Local Differential Privacy. - Mehmet Emre Gursoy; Ling Liu 001; Ka Ho Chow; Stacey Truex; Wenqi Wei 001 (IEEE Trans. Inf. Forensics Secur., 2022)

Gradient Leakage Attack Resilient Deep Learning. - Wenqi Wei 001; Ling Liu 001 (IEEE Trans. Inf. Forensics Secur., 2022)

A Comparative Measurement Study of Deep Learning as a Service Framework. - Yanzhao Wu 001; Ling Liu 001; Calton Pu; Wenqi Cao; Semih Sahin; Wenqi Wei 001; Qi Zhang 009 (IEEE Trans. Serv. Comput., 2022)

GNN-Ensemble: Towards Random Decision Graph Neural Networks. - Wenqi Wei 001; Mu Qiao; Divyesh Jadav (IEEE Big Data, 2023)

Rethinking Learning Rate Tuning in the Era of Large Language Models. - Hongpeng Jin; Wenqi Wei 001; Xuyu Wang; Wenbin Zhang 002; Yanzhao Wu 001 (CogMI, 2023)

STDLens: Model Hijacking-Resilient Federated Learning for Object Detection. - Ka Ho Chow; Ling Liu 001; Wenqi Wei 001; Fatih Ilhan; Yanzhao Wu 001 (CVPR, 2023)

Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness. - Yanzhao Wu 001; Ka Ho Chow; Wenqi Wei 001; Ling Liu 001 (ICDM, 2023)

Model Cloaking against Gradient Leakage. - Wenqi Wei 001; Ka-Ho Chow; Fatih Ilhan; Yanzhao Wu 001; Ling Liu 001 (ICDM, 2023)

Few-shot Multi-domain Knowledge Rearming for Context-aware Defence against Advanced Persistent Threats. - Gaolei Li; Yuanyuan Zhao; Wenqi Wei 001; Yuchen Liu 001 (SmartNets, 2023)

Invisible Watermarking for Audio Generation Diffusion Models. - Xirong Cao; Xiang Li; Divyesh Jadav; Yanzhao Wu 001; Zhehui Chen; Chen Zeng; Wenqi Wei 001 (TPS-ISA, 2023)

EENet: Learning to Early Exit for Adaptive Inference. - Fatih Ilhan; Ling Liu 001; Ka Ho Chow; Wenqi Wei 001; Yanzhao Wu 001; Myungjin Lee; Ramana Kompella; Hugo Latapie; Gaowen Liu (CoRR, 2023)

Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding. - Jingya Zhou; Ling Liu 001; Wenqi Wei 001; Jianxi Fan (ACM Comput. Surv., 2023)

Adversarial Resilient and Privacy Preserving Deep learning. - Wenqi Wei 001 (2023)

Explicit time embedding based cascade attention network for information popularity prediction. - Xigang Sun; Jingya Zhou; Ling Liu 001; Wenqi Wei 001 (Inf. Process. Manag., 2023)

Securing Distributed SGD Against Gradient Leakage Threats. - Wenqi Wei 001; Ling Liu 001; Jingya Zhou; Ka Ho Chow; Yanzhao Wu 001 (IEEE Trans. Parallel Distributed Syst., 2023)

Next-Generation Phishing: How LLM Agents Empower Cyber Attackers. - Khalifa Afane; Wenqi Wei 001; Ying Mao 001; Junaid Farooq 001; Juntao Chen (IEEE Big Data, 2024)

Enhancing Financial Reasoning in Large Language Models: The Role of Gold Facts. - Shoutai Zhu; Ziqiang Yuan; Kaiyuan Wang; Yishu Zhang; Wenqi Wei 001 (IEEE Big Data, 2024)

Effective Diversity Optimizations for High Accuracy Deep Ensembles. - Hongpeng Jin; Maryam Akhavan Aghdam; Sai Nath Chowdary Medikonduru; Wenqi Wei 001; Xuyu Wang; Wenbin Zhang 002; Yanzhao Wu 001 (CogMI, 2024)

Gradient Coupling Effect of Poisoning Attacks in Federated Learning. - Wenqi Wei 001; Ling Liu 001 (HICSS, 2024)

Demo: Visualizing the Shadows: Unveiling Data Poisoning Behaviors in Federated Learning. - Xueqing Zhang; Junkai Zhang; Ka-Ho Chow; Juntao Chen; Ying Mao 001; Mohamed Rahouti; Xiang Li; Yuchen Liu 001; Wenqi Wei 001 (ICDCS, 2024)

Imperio: Language-Guided Backdoor Attacks for Arbitrary Model Control. - Ka-Ho Chow; Wenqi Wei 001; Lei Yu 002 (IJCAI, 2024)

Scalable Circuit Cutting and Scheduling in a Resource-Constrained and Distributed Quantum System. - Shuwen Kan; Zefan Du; Miguel Palma; Samuel Alexander Stein; Chenxu Liu; Wenqi Wei 001; Juntao Chen; Ang Li 006; Ying Mao 001 (QCE, 2024)

Boosting Imperceptibility of Stable Diffusion-based Adversarial Examples Generation with Momentum. - Nashrah Haque; Xiang Li; Zhehui Chen; Yanzhao Wu 001; Lei Yu 002; Arun Iyengar; Wenqi Wei 001 (TPS-ISA, 2024)

Adaptive Deep Neural Network Inference Optimization with EENet. - Fatih Ilhan; Ka-Ho Chow; Sihao Hu; Tiansheng Huang; Selim F. Tekin; Wenqi Wei 001; Yanzhao Wu 001; Myungjin Lee; Ramana Kompella; Hugo Latapie; Gaowen Liu; Ling Liu 001 (WACV, 2024)

ZipZap: Efficient Training of Language Models for Large-Scale Fraud Detection on Blockchain. - Sihao Hu; Tiansheng Huang; Ka-Ho Chow; Wenqi Wei 001; Yanzhao Wu 001; Ling Liu 001 (WWW, 2024)

FinLLMs: A Framework for Financial Reasoning Dataset Generation with Large Language Models. - Ziqiang Yuan; Kaiyuan Wang; Shoutai Zhu; Ye Yuan; Jingya Zhou; Yanlin Zhu; Wenqi Wei 001 (CoRR, 2024)

Visualizing the Shadows: Unveiling Data Poisoning Behaviors in Federated Learning. - Xueqing Zhang; Junkai Zhang; Ka-Ho Chow; Juntao Chen; Ying Mao 001; Mohamed Rahouti; Xiang Li; Yuchen Liu 001; Wenqi Wei 001 (CoRR, 2024)

Data Poisoning and Leakage Analysis in Federated Learning. - Wenqi Wei 001; Tiansheng Huang; Zachary Yahn; Anoop Singhal; Margaret Loper; Ling Liu 001 (CoRR, 2024)

Understanding the Impact of Graph Reduction on Adversarial Robustness in Graph Neural Networks. - Kerui Wu; Ka-Ho Chow; Wenqi Wei 001; Lei Yu 002 (CoRR, 2024)

Hardware-aware Circuit Cutting and Distributed Qubit Mapping for Connected Quantum Systems. - Zefan Du; Yanni Li; Zijian Mo; Wenqi Wei 001; Juntao Chen; Rajkumar Buyya; Ying Mao 001 (CoRR, 2024)

Efficient Circuit Cutting and Scheduling in a Multi-Node Quantum System with Dynamic EPR Pairs. - Zefan Du; Wenrui Zhang; Wenqi Wei 001; Juntao Chen; Tao Han 002; Zhiding Liang; Ying Mao 001 (CoRR, 2024)

Predicting cross-domain collaboration using multi-task learning. - Zhenyu Hu; Jingya Zhou; Wenqi Wei 001; Congcong Zhang; Yingdan Shi (Expert Syst. Appl., 2024)

Diversity-driven Privacy Protection Masks Against Unauthorized Face Recognition. - Ka-Ho Chow; Sihao Hu; Tiansheng Huang; Fatih Ilhan; Wenqi Wei 001; Ling Liu 001 (Proc. Priv. Enhancing Technol., 2024)

Demystifying Data Poisoning Attacks in Distributed Learning as a Service. - Wenqi Wei 001; Ka Ho Chow; Yanzhao Wu 001; Ling Liu 001 (IEEE Trans. Serv. Comput., 2024)

Hierarchical Pruning of Deep Ensembles with Focal Diversity. - Yanzhao Wu 001; Ka Ho Chow; Wenqi Wei 001; Ling Liu 001 (ACM Trans. Intell. Syst. Technol., 2024)

MUBox: A Critical Evaluation Framework of Deep Machine Unlearning [Systematization of Knowledge Paper]. - Xiang Li; Wenqi Wei 001; Bhavani Thuraisingham (SACMAT, 2025)

Order-sensitive competitive revenue maximization for viral marketing in social networks. - Congcong Zhang; Jingya Zhou; Wenqi Wei 001; Yingdan Shi (Inf. Sci., 2025)

MUBox: A Critical Evaluation Framework of Deep Machine Unlearning. - Xiang Li; Bhavani Thuraisingham; Wenqi Wei 001 (CoRR, 2025)

SQUASH: A SWAP-Based Quantum Attack to Sabotage Hybrid Quantum Neural Networks. - Rahul Kumar; Wenqi Wei 001; Ying Mao 001; Junaid Farooq 001; Ying Wang 001; Juntao Chen (CoRR, 2025)

Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance. - Wenqi Wei 001; Ling Liu 001 (ACM Comput. Surv., 2025)