Mehmet Emre Gursoy

According to our database, Mehmet Emre Gursoy authored at least 46 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Longitudinal attacks against iterative data collection with local differential privacy.

Mehmet Emre Gürsoy

Turkish J. Electr. Eng. Comput. Sci., 2024

2023

Utility-Aware and Privacy-Preserving Mobile Query Services.

Emre Yigitoglu, Mehmet Emre Gursoy, Ling Liu

IEEE Trans. Serv. Comput., 2023

Trust, Privacy and Security Aspects of Bias and Fairness in Machine Learning.

Asli Atabek, Egehan Eralp, Mehmet Emre Gursoy

Proceedings of the 5th IEEE International Conference on Trust, 2023

On the Effectiveness of Re-Identification Attacks and Local Differential Privacy-Based Solutions for Smart Meter Data.

Zeynep Sila Kaya, Mehmet Emre Gursoy

Proceedings of the 20th International Conference on Security and Cryptography, 2023

Learning Markov Chain Models from Sequential Data Under Local Differential Privacy.

Efehan Guner, Mehmet Emre Gursoy

Proceedings of the Computer Security - ESORICS 2023, 2023

Building Quadtrees for Spatial Data Under Local Differential Privacy.

Ece Alptekin, Mehmet Emre Gursoy

Proceedings of the Data and Applications Security and Privacy XXXVII, 2023

2022

An Adversarial Approach to Protocol Analysis and Selection in Local Differential Privacy.

Mehmet Emre Gursoy, Ling Liu, Ka Ho Chow, Stacey Truex, Wenqi Wei

IEEE Trans. Inf. Forensics Secur., 2022

Forecasting Daily COVID-19 Case Counts Using Aggregate Mobility Statistics.

Bulut Boru, Mehmet Emre Gursoy

Data, 2022

Beta Poisoning Attacks Against Machine Learning Models: Extensions, Limitations and Defenses.

Atakan Kara, Nursena Köprücü, Mehmet Emre Gursoy

Proceedings of the 4th IEEE International Conference on Trust, 2022

Defending Against Targeted Poisoning Attacks in Federated Learning.

Pinar Erbil, Mehmet Emre Gursoy

Proceedings of the 4th IEEE International Conference on Trust, 2022

Detection and Mitigation of Targeted Data Poisoning Attacks in Federated Learning.

Pinar Erbil, Mehmet Emre Gursoy

Proceedings of the IEEE Intl. Conf. on Dependable, 2022

Physical Activity Recognition using Deep Transfer Learning with Convolutional Neural Networks.

Berke Ataseven, Alireza Madani, Beren Semiz, Mehmet Emre Gursoy

Proceedings of the IEEE Intl. Conf. on Dependable, 2022

2021

Demystifying Membership Inference Attacks in Machine Learning as a Service.

Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Lei Yu, Wenqi Wei

IEEE Trans. Serv. Comput., 2021

Secure and Utility-Aware Data Collection with Condensed Local Differential Privacy.

Mehmet Emre Gursoy, Acar Tamersoy, Stacey Truex, Wenqi Wei, Ling Liu

IEEE Trans. Dependable Secur. Comput., 2021

The TSC-PFed Architecture for Privacy-Preserving FL.

Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Wenqi Wei, Ka Ho Chow

Proceedings of the 3rd IEEE International Conference on Trust, 2021

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

Proceedings of the Wireless Mobile Communication and Healthcare, 2021

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

Sensitivity Analysis for Non-Interactive Differential Privacy: Bounds and Efficient Algorithms.

Ali Inan, Mehmet Emre Gursoy, Yücel Saygin

IEEE Trans. Dependable Secur. Comput., 2020

A Framework for Evaluating Gradient Leakage Attacks in Federated Learning.

Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu

CoRR, 2020

TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems.

Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu

CoRR, 2020

Adversarial Deception in Deep Learning: Analysis and Mitigation.

Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu

Proceedings of the Second IEEE International Conference on Trust, 2020

Utility-Optimized Synthesis of Differentially Private Location Traces.

Mehmet Emre Gursoy, Vivekanand Rajasekar, Ling Liu

Proceedings of the Second IEEE International Conference on Trust, 2020

Adversarial Objectness Gradient Attacks in Real-time Object Detection Systems.

Ka Ho Chow, Ling Liu, Margaret Loper, Juhyun Bae, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu

Proceedings of the Second IEEE International Conference on Trust, 2020

Cross-Layer Strategic Ensemble Defense Against Adversarial Examples.

Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu

Proceedings of the International Conference on Computing, Networking and Communications, 2020

LDP-Fed: federated learning with local differential privacy.

Stacey Truex, Ling Liu, Ka Ho Chow, Mehmet Emre Gursoy, Wenqi Wei

Proceedings of the 3rd International Workshop on Edge Systems, Analytics and Networking, 2020

A Framework for Evaluating Client Privacy Leakages in Federated Learning.

Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu

Proceedings of the Computer Security - ESORICS 2020, 2020

Data Poisoning Attacks Against Federated Learning Systems.

Vale Tolpegin, Stacey Truex, Mehmet Emre Gursoy, Ling Liu

Proceedings of the Computer Security - ESORICS 2020, 2020

Understanding Object Detection Through an Adversarial Lens.

Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu

Proceedings of the Computer Security - ESORICS 2020, 2020

2019

Differentially Private and Utility Preserving Publication of Trajectory Data.

Mehmet Emre Gursoy, Ling Liu, Stacey Truex, Lei Yu

IEEE Trans. Mob. Comput., 2019

Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability.

Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Wenqi Wei, Lei Yu

Proceedings of the First IEEE International Conference on Trust, 2019

Differentially Private Model Publishing for Deep Learning.

Lei Yu, Ling Liu, Calton Pu, Mehmet Emre Gursoy, Stacey Truex

Proceedings of the 2019 IEEE Symposium on Security and Privacy, 2019

Deep Neural Network Ensembles Against Deception: Ensemble Diversity, Accuracy and Robustness.

Ling Liu, Wenqi Wei, Ka Ho Chow, Margaret Loper, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu

Proceedings of the 16th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2019

GRAHIES: Multi-Scale Graph Representation Learning with Latent Hierarchical Structure.

Lei Yu, Qi Zhang, Donna Dillenberger, Ling Liu, Calton Pu, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Hong Min, Arun Iyengar, Gong Su

Proceedings of the 2019 IEEE First International Conference on Cognitive Machine Intelligence (CogMI), 2019

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

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Location disclosure risks of releasing trajectory distances.

Emre Kaplan, Mehmet Emre Gursoy, Mehmet Ercan Nergiz, Yücel Saygin

Data Knowl. Eng., 2018

Towards Demystifying Membership Inference Attacks.

Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Lei Yu, Wenqi Wei

CoRR, 2018

Adversarial Examples in Deep Learning: Characterization and Divergence.

Wenqi Wei, Ling Liu, Stacey Truex, Lei Yu, Mehmet Emre Gursoy

CoRR, 2018

Utility-Aware Synthesis of Differentially Private and Attack-Resilient Location Traces.

Mehmet Emre Gursoy, Ling Liu, Stacey Truex, Lei Yu, Wenqi Wei

Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018

PrivacyZone: A Novel Approach to Protecting Location Privacy of Mobile Users.

Emre Yigitoglu, Mehmet Emre Gursoy, Ling Liu, Margaret Loper, Bhuvan Bamba, Kisung Lee

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Privacy-Preserving Learning Analytics: Challenges and Techniques.

Mehmet Emre Gursoy, Ali Inan, Mehmet Ercan Nergiz, Yücel Saygin

IEEE Trans. Learn. Technol., 2017

Differentially private nearest neighbor classification.

Mehmet Emre Gursoy, Ali Inan, Mehmet Ercan Nergiz, Yücel Saygin

Data Min. Knowl. Discov., 2017

Privacy-Preserving Inductive Learning with Decision Trees.

Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Lei Yu

Proceedings of the 2017 IEEE International Congress on Big Data, 2017

2016

Privacy-Preserving Publishing of Hierarchical Data.

Ismet Ozalp, Mehmet Emre Gursoy, Mehmet Ercan Nergiz, Yücel Saygin

ACM Trans. Priv. Secur., 2016

Graph-based modelling of query sets for differential privacy.

Ali Inan, Mehmet Emre Gursoy, Emir Esmerdag, Yücel Saygin

Proceedings of the 28th International Conference on Scientific and Statistical Database Management, 2016

Explode: An Extensible Platform for Differentially Private Data Analysis.

Emir Esmerdag, Mehmet Emre Gursoy, Ali Inan, Yücel Saygin

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015

Scalable reactive vehicle-to-vehicle congestion avoidance mechanism.

Mevlut Turker Garip, Mehmet Emre Gursoy, Peter L. Reiher, Mario Gerla

Proceedings of the 12th Annual IEEE Consumer Communications and Networking Conference, 2015