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ORCIDMehmet Emre Gursoy
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2020 – today
- 2024
[j15]Mehmet Emre Gürsoy:
Longitudinal attacks against iterative data collection with local differential privacy. Turkish J. Electr. Eng. Comput. Sci. 32(1): 198-218 (2024)- [j14]Ekin Tire
, Mehmet Emre Gursoy:
Answering Spatial Density Queries Under Local Differential Privacy. IEEE Internet Things J. 11(10): 17419-17436 (2024) - [j13]Seyedpayam Seyedkazemi, Mehmet Emre Gursoy, Yücel Saygin:
LuxTrack: Activity Inference Attacks via Smartphone Ambient Light Sensors and Countermeasures. IEEE Internet Things J. 11(17): 28734-28751 (2024) - [i15]Berkay Kemal Balioglu, Alireza Khodaie, Ameer Taweel, Mehmet Emre Gursoy:
Grid-Based Decompositions for Spatial Data under Local Differential Privacy. CoRR abs/2407.21624 (2024) - 2023
- [j12]Emre Yigitoglu, Mehmet Emre Gursoy, Ling Liu:
Utility-Aware and Privacy-Preserving Mobile Query Services. IEEE Trans. Serv. Comput. 16(2): 1458-1472 (2023) - [c29]Ece Alptekin, Mehmet Emre Gursoy:
Building Quadtrees for Spatial Data Under Local Differential Privacy. DBSec 2023: 22-39 - [c28]Efehan Guner, Mehmet Emre Gursoy:
Learning Markov Chain Models from Sequential Data Under Local Differential Privacy. ESORICS (2) 2023: 359-379 - [c27]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: 111-122 - [c26]Asli Atabek, Egehan Eralp, Mehmet Emre Gursoy:
Trust, Privacy and Security Aspects of Bias and Fairness in Machine Learning. TPS-ISA 2023: 111-121 - 2022
- [j11]Bulut Boru, Mehmet Emre Gursoy:
Forecasting Daily COVID-19 Case Counts Using Aggregate Mobility Statistics. Data 7(11): 166 (2022) - [j10]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: 1785-1799 (2022) - [c25]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: 1-6 - [c24]Pinar Erbil, Mehmet Emre Gursoy:
Detection and Mitigation of Targeted Data Poisoning Attacks in Federated Learning. DASC/PiCom/CBDCom/CyberSciTech 2022: 1-8 - [c23]Atakan Kara, Nursena Köprücü, Mehmet Emre Gursoy:
Beta Poisoning Attacks Against Machine Learning Models: Extensions, Limitations and Defenses. TPS-ISA 2022: 178-187 - [c22]Pinar Erbil, Mehmet Emre Gursoy:
Defending Against Targeted Poisoning Attacks in Federated Learning. TPS-ISA 2022: 198-207 - 2021
- [j9]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): 2365-2378 (2021) - [j8]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): 2073-2089 (2021) - [c21]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: 281-292 - [c20]Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Wenqi Wei, Ka Ho Chow:
The TSC-PFed Architecture for Privacy-Preserving FL. TPS-ISA 2021: 207-216 - 2020
- [j7]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): 194-207 (2020) - [j6]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): 443-450 (2020) - [c19]Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu:
Understanding Object Detection Through an Adversarial Lens. ESORICS (2) 2020: 460-481 - [c18]Vale Tolpegin, Stacey Truex, Mehmet Emre Gursoy, Ling Liu:
Data Poisoning Attacks Against Federated Learning Systems. ESORICS (1) 2020: 480-501 - [c17]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: 545-566 - [c16]Stacey Truex, Ling Liu, Ka Ho Chow, Mehmet Emre Gursoy, Wenqi Wei:
LDP-Fed: federated learning with local differential privacy. EdgeSys@EuroSys 2020: 61-66 - [c15]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: 456-460 - [c14]Mehmet Emre Gursoy, Vivekanand Rajasekar, Ling Liu:
Utility-Optimized Synthesis of Differentially Private Location Traces. TPS-ISA 2020: 30-39 - [c13]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: 236-245 - [c12]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: 263-272 - [i14]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 abs/2004.04320 (2020) - [i13]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 abs/2004.10397 (2020) - [i12]Stacey Truex, Ling Liu, Ka Ho Chow, Mehmet Emre Gursoy, Wenqi Wei:
LDP-Fed: Federated Learning with Local Differential Privacy. CoRR abs/2006.03637 (2020) - [i11]Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu:
Understanding Object Detection Through An Adversarial Lens. CoRR abs/2007.05828 (2020) - [i10]Vale Tolpegin, Stacey Truex, Mehmet Emre Gursoy, Ling Liu:
Data Poisoning Attacks Against Federated Learning Systems. CoRR abs/2007.08432 (2020) - [i9]Mehmet Emre Gursoy, Vivekanand Rajasekar, Ling Liu:
Utility-Optimized Synthesis of Differentially Private Location Traces. CoRR abs/2009.06505 (2020)
2010 – 2019
- 2019
- [j5]Mehmet Emre Gursoy, Ling Liu, Stacey Truex, Lei Yu:
Differentially Private and Utility Preserving Publication of Trajectory Data. IEEE Trans. Mob. Comput. 18(10): 2315-2329 (2019) - [c11]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: 3789-3796 - [c10]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: 8-15 - [c9]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: 274-282 - [c8]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: 332-349 - [c7]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: 82-91 - [i8]Lei Yu, Ling Liu, Calton Pu, Mehmet Emre Gursoy, Stacey Truex:
Differentially Private Model Publishing for Deep Learning. CoRR abs/1904.02200 (2019) - [i7]Mehmet Emre Gursoy, Acar Tamersoy, Stacey Truex, Wenqi Wei, Ling Liu:
Secure and Utility-Aware Data Collection with Condensed Local Differential Privacy. CoRR abs/1905.06361 (2019) - [i6]Emre Yigitoglu, Mehmet Emre Gursoy, Ling Liu:
Utility-aware and privacy-preserving mobile query services. CoRR abs/1907.06778 (2019) - [i5]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 abs/1908.11091 (2019) - [i4]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 abs/1910.01742 (2019) - [i3]Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Wenqi Wei, Lei Yu:
Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability. CoRR abs/1911.09777 (2019) - 2018
- [j4]Emre Kaplan, Mehmet Emre Gursoy, Mehmet Ercan Nergiz, Yücel Saygin:
Location disclosure risks of releasing trajectory distances. Data Knowl. Eng. 113: 43-63 (2018) - [c6]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: 1238-1247 - [c5]Mehmet Emre Gursoy, Ling Liu, Stacey Truex, Lei Yu, Wenqi Wei:
Utility-Aware Synthesis of Differentially Private and Attack-Resilient Location Traces. CCS 2018: 196-211 - [i2]Wenqi Wei, Ling Liu, Stacey Truex, Lei Yu, Mehmet Emre Gursoy:
Adversarial Examples in Deep Learning: Characterization and Divergence. CoRR abs/1807.00051 (2018) - [i1]Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Lei Yu, Wenqi Wei:
Towards Demystifying Membership Inference Attacks. CoRR abs/1807.09173 (2018) - 2017
- [j3]Mehmet Emre Gursoy, Ali Inan, Mehmet Ercan Nergiz, Yücel Saygin:
Differentially private nearest neighbor classification. Data Min. Knowl. Discov. 31(5): 1544-1575 (2017) - [j2]Mehmet Emre Gursoy, Ali Inan, Mehmet Ercan Nergiz, Yücel Saygin:
Privacy-Preserving Learning Analytics: Challenges and Techniques. IEEE Trans. Learn. Technol. 10(1): 68-81 (2017) - [c4]Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Lei Yu:
Privacy-Preserving Inductive Learning with Decision Trees. BigData Congress 2017: 57-64 - 2016
- [j1]Ismet Ozalp, Mehmet Emre Gursoy, Mehmet Ercan Nergiz, Yücel Saygin:
Privacy-Preserving Publishing of Hierarchical Data. ACM Trans. Priv. Secur. 19(3): 7:1-7:29 (2016) - [c3]Emir Esmerdag, Mehmet Emre Gursoy, Ali Inan, Yücel Saygin:
Explode: An Extensible Platform for Differentially Private Data Analysis. ICDM Workshops 2016: 1300-1303 - [c2]Ali Inan, Mehmet Emre Gursoy, Emir Esmerdag, Yücel Saygin:
Graph-based modelling of query sets for differential privacy. SSDBM 2016: 3:1-3:10 - 2015
- [c1]Mevlut Turker Garip, Mehmet Emre Gursoy, Peter L. Reiher, Mario Gerla:
Scalable reactive vehicle-to-vehicle congestion avoidance mechanism. CCNC 2015: 943-948
Coauthor Index
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last updated on 2024-10-07 21:25 CEST by the dblp team
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