Scalable reactive vehicle-to-vehicle congestion avoidance mechanism. - Mevlut Turker Garip; Mehmet Emre Gursoy; Peter L. Reiher; Mario Gerla (CCNC, 2015)

Explode: An Extensible Platform for Differentially Private Data Analysis. - Emir Esmerdag; Mehmet Emre Gursoy; Ali Inan; Yücel Saygin (ICDM Workshops, 2016)

Graph-based modelling of query sets for differential privacy. - Ali Inan; Mehmet Emre Gursoy; Emir Esmerdag; Yücel Saygin (SSDBM, 2016)

Privacy-Preserving Publishing of Hierarchical Data. - Ismet Ozalp; Mehmet Emre Gursoy; Mehmet Ercan Nergiz; Yücel Saygin (ACM Trans. Priv. Secur., 2016)

Privacy-Preserving Inductive Learning with Decision Trees. - Stacey Truex; Ling Liu 001; Mehmet Emre Gursoy; Lei Yu 002 (BigData Congress, 2017)

Differentially private nearest neighbor classification. - Mehmet Emre Gursoy; Ali Inan; Mehmet Ercan Nergiz; Yücel Saygin (Data Min. Knowl. Discov., 2017)

Privacy-Preserving Learning Analytics: Challenges and Techniques. - Mehmet Emre Gursoy; Ali Inan; Mehmet Ercan Nergiz; Yücel Saygin (IEEE Trans. Learn. Technol., 2017)

PrivacyZone: A Novel Approach to Protecting Location Privacy of Mobile Users. - Emre Yigitoglu; Mehmet Emre Gursoy; Ling Liu 001; Margaret Loper; Bhuvan Bamba; Kisung Lee (IEEE BigData, 2018)

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)

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)

Location disclosure risks of releasing trajectory distances. - Emre Kaplan; Mehmet Emre Gursoy; Mehmet Ercan Nergiz; Yücel Saygin (Data Knowl. Eng., 2018)

Classification of Driving Behavior Events Utilizing Kinematic Classification and Machine Learning for Down Sampled Time Series Data. - Vikram Krishnamurthy; Kusha Nezafati; Juhyun Bae; Mehmet Emre Gursoy; Mian Zhong; Vikrant Singh (IEEE BigData, 2019)

GRAHIES: Multi-Scale Graph Representation Learning with Latent Hierarchical Structure. - Lei Yu 002; Qi Zhang 009; Donna Dillenberger; Ling Liu 001; Calton Pu; Ka Ho Chow; Mehmet Emre Gursoy; Stacey Truex; Hong Min; Arun Iyengar; Gong Su (CogMI, 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)

Differentially Private Model Publishing for Deep Learning. - Lei Yu 002; Ling Liu 001; Calton Pu; Mehmet Emre Gursoy; Stacey Truex (IEEE Symposium on Security and Privacy, 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)

Differentially Private and Utility Preserving Publication of Trajectory Data. - Mehmet Emre Gursoy; Ling Liu 001; Stacey Truex; Lei Yu 002 (IEEE Trans. Mob. Comput., 2019)

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)

Data Poisoning Attacks Against Federated Learning Systems. - Vale Tolpegin; Stacey Truex; Mehmet Emre Gursoy; Ling Liu 001 (ESORICS (1), 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)

Utility-Optimized Synthesis of Differentially Private Location Traces. - Mehmet Emre Gursoy; Vivekanand Rajasekar; Ling Liu 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)

Sensitivity Analysis for Non-Interactive Differential Privacy: Bounds and Efficient Algorithms. - Ali Inan; Mehmet Emre Gursoy; Yücel Saygin (IEEE Trans. Dependable Secur. Comput., 2020)

Known Sample Attacks on Relation Preserving Data Transformations. - Emre Kaplan; Mehmet Emre Gursoy; Mehmet Ercan Nergiz; Yücel Saygin (IEEE Trans. Dependable Secur. Comput., 2020)

Automatic Subject Identification Using Scale-Based Ballistocardiogram Signals. - Beren Semiz; Mehmet Emre Gursoy; Md Mobashir Hasan Shandhi; Lara Orlandic; Vincent John Mooney; Omer T. Inan (MobiHealth, 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)

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)

Privacy-Preserving Data Collection and Sharing in Modern Mobile Internet Systems. - Mehmet Emre Gursoy (2021)

Physical Activity Recognition using Deep Transfer Learning with Convolutional Neural Networks. - Berke Ataseven; Alireza Madani; Beren Semiz; Mehmet Emre Gursoy (DASC/PiCom/CBDCom/CyberSciTech, 2022)

Detection and Mitigation of Targeted Data Poisoning Attacks in Federated Learning. - Pinar Erbil; Mehmet Emre Gursoy (DASC/PiCom/CBDCom/CyberSciTech, 2022)

Defending Against Targeted Poisoning Attacks in Federated Learning. - Pinar Erbil; Mehmet Emre Gursoy (TPS-ISA, 2022)

Beta Poisoning Attacks Against Machine Learning Models: Extensions, Limitations and Defenses. - Atakan Kara 003; Nursena Köprücü; Mehmet Emre Gursoy (TPS-ISA, 2022)

Forecasting Daily COVID-19 Case Counts Using Aggregate Mobility Statistics. - Bulut Boru; Mehmet Emre Gursoy (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)

Building Quadtrees for Spatial Data Under Local Differential Privacy. - Ece Alptekin; Mehmet Emre Gursoy (DBSec, 2023)

Learning Markov Chain Models from Sequential Data Under Local Differential Privacy. - Efehan Guner; Mehmet Emre Gursoy (ESORICS (2), 2023)

On the Effectiveness of Re-Identification Attacks and Local Differential Privacy-Based Solutions for Smart Meter Data. - Zeynep Sila Kaya; Mehmet Emre Gursoy (SECRYPT, 2023)

Trust, Privacy and Security Aspects of Bias and Fairness in Machine Learning. - Asli Atabek; Egehan Eralp; Mehmet Emre Gursoy (TPS-ISA, 2023)

Utility-Aware and Privacy-Preserving Mobile Query Services. - Emre Yigitoglu; Mehmet Emre Gursoy; Ling Liu 001 (IEEE Trans. Serv. Comput., 2023)

Injecting Bias into Text Classification Models Using Backdoor Attacks. - A. Dilara Yavuz; Mehmet Emre Gursoy (CRiSIS, 2024)

Grid-Based Decompositions for Spatial Data Under Local Differential Privacy. - Berkay Kemal Balioglu; Alireza Khodaie; Ameer Taweel; Mehmet Emre Gursoy (ESORICS Workshops (1), 2024)

Longitudinal attacks against iterative data collection with local differential privacy. - Mehmet Emre Gürsoy (Turkish J. Electr. Eng. Comput. Sci., 2024)

Answering Spatial Density Queries Under Local Differential Privacy. - Ekin Tire; Mehmet Emre Gursoy (IEEE Internet Things J., 2024)

LuxTrack: Activity Inference Attacks via Smartphone Ambient Light Sensors and Countermeasures. - Seyedpayam Seyedkazemi; Mehmet Emre Gursoy; Yücel Saygin (IEEE Internet Things J., 2024)

Post-processing in Local Differential Privacy: An Extensive Evaluation and Benchmark Platform. - Alireza Khodaie; Berkay Kemal Balioglu; Mehmet Emre Gursoy (SEC (1), 2025)

Learning Bayesian Networks Under Local Differential Privacy. - Alireza Khodaie; Mehmet Emre Gursoy (IEEE Trans. Inf. Forensics Secur., 2025)

Capacity Planning Under Local Differential Privacy With Optimized Budget Selection. - Seyedpayam Seyedkazemi; Mehmet Emre Gursoy; Yücel Saygin (IEEE Trans. Ind. Informatics, 2025)

Don't Hash Me Like That: Exposing and Mitigating Hash-Induced Unfairness in Local Differential Privacy. - Berkay Kemal Balioglu; Alireza Khodaie; Mehmet Emre Gursoy (CoRR, 2025)

LDP3: An Extensible and Multi-Threaded Toolkit for Local Differential Privacy Protocols and Post-Processing Methods. - Berkay Kemal Balioglu; Alireza Khodaie; Mehmet Emre Gursoy (CoRR, 2025)