Private and Truthful Aggregative Game for Large-Scale Spectrum Sharing. - Pan Zhou 001; Wenqi Wei; Kaigui Bian; Dapeng Oliver Wu; Yuchong Hu (CoRR, 2016)

Private and Truthful Aggregative Game for Large-Scale Spectrum Sharing. - Pan Zhou 001; Wenqi Wei; Kaigui Bian; Dapeng Oliver Wu; Yuchong Hu; Qian Wang 002 (IEEE J. Sel. Areas Commun., 2017)

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

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

Adversarial Examples in Deep Learning: Characterization and Divergence. - Wenqi Wei; 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 (CoRR, 2018)

Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks. - Ka Ho Chow; Wenqi Wei; 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; 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; 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; 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; Lei Yu 002; Qi Zhang 009 (CoRR, 2019)

Epidemic Guard: A COVID-19 Detection System for Elderly People. - Wenqi Wei; Jianzong Wang; Ning Cheng 001; Yuanxu Chen; Bao Zhou; Jing Xiao 006 (APWeb/WAIM (2), 2020)

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

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

A Framework for Evaluating Client Privacy Leakages in Federated Learning. - Wenqi Wei; 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 (EdgeSys@EuroSys, 2020)

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

A Real-Time Robot-Based Auxiliary System for Risk Evaluation of COVID-19 Infection. - Wenqi Wei; Jianzong Wang; Jiteng Ma; Ning Cheng 001; Jing Xiao 006 (INTERSPEECH, 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; Yanzhao Wu 001 (TPS-ISA, 2020)

Adversarial Deception in Deep Learning: Analysis and Mitigation. - Wenqi Wei; 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; Yanzhao Wu 001 (CoRR, 2020)

A Framework for Evaluating Gradient Leakage Attacks in Federated Learning. - Wenqi Wei; 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 (CVPR, 2021)

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

When Hearing the Voice, Who Will Come to Your Mind. - Zhenhou Hong; Jianzong Wang; Wenqi Wei; Jie Liu; Xiaoyang Qu; Bo Chen; Zihang Wei; Jing Xiao 006 (IJCNN, 2021)

CACnet: Cube Attentional CNN for Automatic Speech Recognition. - Nan Zhang; Jianzong Wang; Wenqi Wei; Xiaoyang Qu; Ning Cheng 001; Jing Xiao 006 (IJCNN, 2021)

Speech2Video: Cross-Modal Distillation for Speech to Video Generation. - Shijing Si; Jianzong Wang; Xiaoyang Qu; Ning Cheng 001; Wenqi Wei; Xinghua Zhu; Jing Xiao 006 (Interspeech, 2021)

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

Dynamic Collaborative Fireworks Algorithm and its applications in robust pole assignment optimization. - Wenqi Wei; Haibin Ouyang; Chunliang Zhang; Steven Li; Liyun Fu; Liqun Gao (Appl. Soft Comput., 2021)

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

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

Bitcoin Transaction Forecasting With Deep Network Representation Learning. - Wenqi Wei; 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 (IEEE Trans. Serv. Comput., 2021)

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

Adaptive Sparse and Monotonic Attention for Transformer-based Automatic Speech Recognition. - Chendong Zhao; Jianzong Wang; Wenqi Wei; Xiaoyang Qu; Haoqian Wang; Jing Xiao 006 (DSAA, 2022)

A behavior-selection based Rao algorithm and its applications to power system economic load dispatch problems. - Wenqi Wei; Haibin Ouyang; Wenqiang Wu; Steven Li; Dexuan Zou (Appl. Intell., 2022)

A modified fireworks algorithm with dynamic search interval based on closed-loop control. - Wenqi Wei; Haibin Ouyang; Steven Li; Xuanbo Zhao; Dexuan Zou (Math. Comput. Simul., 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 (IEEE Trans. Inf. Forensics Secur., 2022)

Gradient Leakage Attack Resilient Deep Learning. - Wenqi Wei; 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; Qi Zhang 009 (IEEE Trans. Serv. Comput., 2022)

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

Rethinking Learning Rate Tuning in the Era of Large Language Models. - Hongpeng Jin; Wenqi Wei; 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; Fatih Ilhan; Yanzhao Wu 001 (CVPR, 2023)

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

Model Cloaking against Gradient Leakage. - Wenqi Wei; 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; Yuchen Liu (SmartNets, 2023)

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

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

Machine Learning for Synthetic Data Generation: a Review. - Yingzhou Lu; Huazheng Wang; Wenqi Wei (CoRR, 2023)

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

Nuclear Magnetic Resonance Measurements in High Flat-Top Pulsed Magnetic Field Up to 40 T at WHMFC. - Wenqi Wei; Qinying Liu; Le Yuan; Jian Zhang; Shiyu Liu; Rui Zhou; Yongkang Luo; Xiaotao Han (IEEE Trans. Instrum. Meas., 2023)

High-Frequency Broadband RF Transmit-Receive Switch for Pulsed Magnetic Field NMR. - Le Yuan; Zhenglei Wang; Wenqi Wei; Xiaotao Han (IEEE Trans. Instrum. Meas., 2023)

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

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

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

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

Over 100nm Wavelength Conversion Bandwidth with High Efficiency on AlGaAsOI Nonlinear Waveguides. - Zhengshun Lei; Weiqiang Xie; Wenqi Wei; Zihao Wang; Ting Wang; Jianjun Zhang; Yikai Su (OFC, 2024)

Adaptive Deep Neural Network Inference Optimization with EENet. - Fatih Ilhan; Ka-Ho Chow; Sihao Hu; Tiansheng Huang; Selim F. Tekin; Wenqi Wei; 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; Yanzhao Wu 001; Ling Liu 001 (WWW, 2024)

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

Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance. - Wenqi Wei; Ling Liu 001 (CoRR, 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; Juntao Chen; Ang Li 006; Ying Mao (CoRR, 2024)

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

AutoJailbreak: Exploring Jailbreak Attacks and Defenses through a Dependency Lens. - Lin Lu; Hai Yan; Zenghui Yuan; Jiawen Shi; Wenqi Wei; Pin-Yu Chen; Pan Zhou 001 (CoRR, 2024)

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

Demystifying Data Poisoning Attacks in Distributed Learning as a Service. - Wenqi Wei; 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; Ling Liu 001 (ACM Trans. Intell. Syst. Technol., 2024)