Mehmet Emre Gursoy

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 57

Top Topics

Neural Network Ensembles

Differential Privacy

Top Venues

IEEE Trans. Dependable Secur. Comput.

IEEE Trans. Serv. Comput.

Publications

Ekin Tire, Mehmet Emre Gursoy
Answering Spatial Density Queries Under Local Differential Privacy. IEEE Internet Things J. 11 (10) (2024)
Berkay Kemal Balioglu, Alireza Khodaie, Ameer Taweel, Mehmet Emre Gursoy
Grid-Based Decompositions for Spatial Data under Local Differential Privacy. CoRR (2024)
Emre Yigitoglu, Mehmet Emre Gursoy, Ling Liu
Utility-Aware and Privacy-Preserving Mobile Query Services. IEEE Trans. Serv. Comput. 16 (2) (2023)
Asli Atabek, Egehan Eralp, Mehmet Emre Gursoy
Trust, Privacy and Security Aspects of Bias and Fairness in Machine Learning. TPS-ISA (2023)
Zeynep Sila Kaya, Mehmet Emre Gursoy
On the Effectiveness of Re-Identification Attacks and Local Differential Privacy-Based Solutions for Smart Meter Data. SECRYPT (2023)
Efehan Guner, Mehmet Emre Gursoy
Learning Markov Chain Models from Sequential Data Under Local Differential Privacy. ESORICS (2) (2023)
Ece Alptekin, Mehmet Emre Gursoy
Building Quadtrees for Spatial Data Under Local Differential Privacy. DBSec (2023)
Pinar Erbil, Mehmet Emre Gursoy
Defending Against Targeted Poisoning Attacks in Federated Learning. TPS-ISA (2022)
Mehmet Emre Gursoy, Ling Liu, Ka Ho Chow, Stacey Truex, Wenqi Wei
An Adversarial Approach to Protocol Analysis and Selection in Local Differential Privacy. IEEE Trans. Inf. Forensics Secur. 17 (2022)
Bulut Boru, Mehmet Emre Gursoy
Forecasting Daily COVID-19 Case Counts Using Aggregate Mobility Statistics. Data 7 (11) (2022)
Atakan Kara, Nursena Köprücü, Mehmet Emre Gursoy
Beta Poisoning Attacks Against Machine Learning Models: Extensions, Limitations and Defenses. TPS-ISA (2022)
Pinar Erbil, Mehmet Emre Gursoy
Detection and Mitigation of Targeted Data Poisoning Attacks in Federated Learning. DASC/PiCom/CBDCom/CyberSciTech (2022)
Berke Ataseven, Alireza Madani, Beren Semiz, Mehmet Emre Gursoy
Physical Activity Recognition using Deep Transfer Learning with Convolutional Neural Networks. DASC/PiCom/CBDCom/CyberSciTech (2022)
Mehmet Emre Gursoy, Acar Tamersoy, Stacey Truex, Wenqi Wei, Ling Liu
Secure and Utility-Aware Data Collection with Condensed Local Differential Privacy. IEEE Trans. Dependable Secur. Comput. 18 (5) (2021)
Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Lei Yu, Wenqi Wei
Demystifying Membership Inference Attacks in Machine Learning as a Service. IEEE Trans. Serv. Comput. 14 (6) (2021)
Beren Semiz, Mehmet Emre Gursoy, Md. Mobashir Hasan Shandhi, Lara Orlandic, Vincent John Mooney, Omer T. Inan
Automatic Subject Identification Using Scale-Based Ballistocardiogram Signals. MobiHealth (2021)
Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Wenqi Wei, Ka Ho Chow
The TSC-PFed Architecture for Privacy-Preserving FL. TPS-ISA (2021)
Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
Cross-Layer Strategic Ensemble Defense Against Adversarial Examples. ICNC (2020)
Mehmet Emre Gursoy, Vivekanand Rajasekar, Ling Liu
Utility-Optimized Synthesis of Differentially Private Location Traces. CoRR (2020)
Vale Tolpegin, Stacey Truex, Mehmet Emre Gursoy, Ling Liu
Data Poisoning Attacks Against Federated Learning Systems. ESORICS (1) (2020)
Stacey Truex, Ling Liu, Ka Ho Chow, Mehmet Emre Gursoy, Wenqi Wei
LDP-Fed: Federated Learning with Local Differential Privacy. CoRR (2020)
Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
Adversarial Deception in Deep Learning: Analysis and Mitigation. TPS-ISA (2020)
Ali Inan, Mehmet Emre Gursoy, Yücel Saygin
Sensitivity Analysis for Non-Interactive Differential Privacy: Bounds and Efficient Algorithms. IEEE Trans. Dependable Secur. Comput. 17 (1) (2020)
Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
A Framework for Evaluating Client Privacy Leakages in Federated Learning. ESORICS (1) (2020)
Mehmet Emre Gursoy, Vivekanand Rajasekar, Ling Liu
Utility-Optimized Synthesis of Differentially Private Location Traces. TPS-ISA (2020)
Emre Kaplan, Mehmet Emre Gursoy, Mehmet Ercan Nergiz, Yücel Saygin
Known Sample Attacks on Relation Preserving Data Transformations. IEEE Trans. Dependable Secur. Comput. 17 (2) (2020)
Ka Ho Chow, Ling Liu, Margaret Loper, Juhyun Bae, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu
Adversarial Objectness Gradient Attacks in Real-time Object Detection Systems. TPS-ISA (2020)
Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu
Understanding Object Detection Through An Adversarial Lens. CoRR (2020)
Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu
Understanding Object Detection Through an Adversarial Lens. ESORICS (2) (2020)
Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
A Framework for Evaluating Gradient Leakage Attacks in Federated Learning. CoRR (2020)
Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu
TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems. CoRR (2020)
Stacey Truex, Ling Liu, Ka Ho Chow, Mehmet Emre Gursoy, Wenqi Wei
LDP-Fed: federated learning with local differential privacy. EdgeSys@EuroSys (2020)
Vale Tolpegin, Stacey Truex, Mehmet Emre Gursoy, Ling Liu
Data Poisoning Attacks Against Federated Learning Systems. CoRR (2020)
Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
Cross-Layer Strategic Ensemble Defense Against Adversarial Examples. CoRR (2019)
Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Wenqi Wei, Lei Yu
Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability. CoRR (2019)
Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Wenqi Wei, Lei Yu
Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability. TPS-ISA (2019)
Lei Yu, Qi Zhang, Donna Dillenberger, Ling Liu, Calton Pu, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Hong Min, Arun Iyengar, Gong Su
GRAHIES: Multi-Scale Graph Representation Learning with Latent Hierarchical Structure. CogMI (2019)
Ling Liu, Wenqi Wei, Ka Ho Chow, Margaret Loper, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
Deep Neural Network Ensembles against Deception: Ensemble Diversity, Accuracy and Robustness. CoRR (2019)
Mehmet Emre Gursoy, Ling Liu, Stacey Truex, Lei Yu
Differentially Private and Utility Preserving Publication of Trajectory Data. IEEE Trans. Mob. Comput. 18 (10) (2019)
Lei Yu, Ling Liu, Calton Pu, Mehmet Emre Gursoy, Stacey Truex
Differentially Private Model Publishing for Deep Learning. CoRR (2019)
Emre Yigitoglu, Mehmet Emre Gursoy, Ling Liu
Utility-aware and privacy-preserving mobile query services. CoRR (2019)
Mehmet Emre Gursoy, Acar Tamersoy, Stacey Truex, Wenqi Wei, Ling Liu
Secure and Utility-Aware Data Collection with Condensed Local Differential Privacy. CoRR (2019)
Lei Yu, Ling Liu, Calton Pu, Mehmet Emre Gursoy, Stacey Truex
Differentially Private Model Publishing for Deep Learning. IEEE Symposium on Security and Privacy (2019)
Vikram Krishnamurthy, Kusha Nezafati, Juhyun Bae, Mehmet Emre Gursoy, Mian Zhong, Vikrant Singh
Classification of Driving Behavior Events Utilizing Kinematic Classification and Machine Learning for Down Sampled Time Series Data. IEEE BigData (2019)
Ling Liu, Wenqi Wei, Ka Ho Chow, Margaret Loper, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
Deep Neural Network Ensembles Against Deception: Ensemble Diversity, Accuracy and Robustness. MASS (2019)
Mehmet Emre Gursoy, Ling Liu, Stacey Truex, Lei Yu, Wenqi Wei
Utility-Aware Synthesis of Differentially Private and Attack-Resilient Location Traces. CCS (2018)
Emre Yigitoglu, Mehmet Emre Gursoy, Ling Liu, Margaret Loper, Bhuvan Bamba, Kisung Lee
PrivacyZone: A Novel Approach to Protecting Location Privacy of Mobile Users. IEEE BigData (2018)
Wenqi Wei, Ling Liu, Stacey Truex, Lei Yu, Mehmet Emre Gursoy
Adversarial Examples in Deep Learning: Characterization and Divergence. CoRR (2018)
Emre Kaplan, Mehmet Emre Gursoy, Mehmet Ercan Nergiz, Yücel Saygin
Location disclosure risks of releasing trajectory distances. Data Knowl. Eng. 113 (2018)
Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Lei Yu, Wenqi Wei
Towards Demystifying Membership Inference Attacks. CoRR (2018)
Mehmet Emre Gursoy, Ali Inan, Mehmet Ercan Nergiz, Yücel Saygin
Differentially private nearest neighbor classification. Data Min. Knowl. Discov. 31 (5) (2017)
Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Lei Yu
Privacy-Preserving Inductive Learning with Decision Trees. BigData Congress (2017)
Mehmet Emre Gursoy, Ali Inan, Mehmet Ercan Nergiz, Yücel Saygin
Privacy-Preserving Learning Analytics: Challenges and Techniques. IEEE Trans. Learn. Technol. 10 (1) (2017)
Ismet Ozalp, Mehmet Emre Gursoy, Mehmet Ercan Nergiz, Yücel Saygin
Privacy-Preserving Publishing of Hierarchical Data. ACM Trans. Priv. Secur. 19 (3) (2016)
Emir Esmerdag, Mehmet Emre Gursoy, Ali Inan, Yücel Saygin
Explode: An Extensible Platform for Differentially Private Data Analysis. ICDM Workshops (2016)
Ali Inan, Mehmet Emre Gursoy, Emir Esmerdag, Yücel Saygin
Graph-based modelling of query sets for differential privacy. SSDBM (2016)
Mevlut Turker Garip, Mehmet Emre Gursoy, Peter L. Reiher, Mario Gerla
Scalable reactive vehicle-to-vehicle congestion avoidance mechanism. CCNC (2015)