Mehmet Emre Gursoy

发表

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

Ali Inan, Mehmet Emre Gursoy, Yucel Saygin, 2020, IEEE Transactions on Dependable and Secure Computing.

Location disclosure risks of releasing trajectory distances

Emre Kaplan, Yücel Saygin, Mehmet Emre Gursoy, 2017, Data Knowl. Eng..

Adversarial Deception in Deep Learning: Analysis and Mitigation

Wenqi Wei, Ling Liu, Mehmet Emre Gursoy, 2020, 2020 Second IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA).

A Framework for Evaluating Gradient Leakage Attacks in Federated Learning pdf

Yanzhao Wu, Wenqi Wei, Mehmet Emre Gursoy, 2020, ArXiv.

Preserving Privacy in Hierarchical Data Publishing

Mehmet Emre Gursoy, 2015 .

Privacy-Preserving Inductive Learning with Decision Trees

Lei Yu, Ling Liu, Mehmet Emre Gursoy, 2017, 2017 IEEE International Congress on Big Data (BigData Congress).

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

Yanzhao Wu, Wenqi Wei, Mehmet Emre Gursoy, 2020, ArXiv.

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

Wenqi Wei, Mehmet Emre Gursoy, Ling Liu, 2019, IEEE Transactions on Dependable and Secure Computing.

LDP-Fed: federated learning with local differential privacy

Wenqi Wei, Ling Liu, Mehmet Emre Gursoy, 2020, EdgeSys@EuroSys.

Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability

Wenqi Wei, Mehmet Emre Gursoy, Lei Yu, 2019, 2019 First IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA).

Adversarial Examples in Deep Learning: Characterization and Divergence pdf

Ling Liu, Wenqi Wei, Lei Yu, 2018, ArXiv.

Utility-Optimized Synthesis of Differentially Private Location Traces

Mehmet Emre Gursoy, Ling Liu, Vivekanand Rajasekar, 2020, 2020 Second IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA).

Differentially Private and Utility Preserving Publication of Trajectory Data

Ling Liu, Lei Yu, Mehmet Emre Gursoy, 2019, IEEE Transactions on Mobile Computing.

Demystifying Membership Inference Attacks in Machine Learning as a Service

Wenqi Wei, Ling Liu, Lei Yu, 2019, IEEE Transactions on Services Computing.

Privacy-Preserving Learning Analytics: Challenges and Techniques

Yücel Saygin, Ali Inan, Mehmet Emre Gursoy, 2017, IEEE Transactions on Learning Technologies.

Differentially Private Model Publishing for Deep Learning

Calton Pu, Lei Yu, Ling Liu, 2019, 2019 IEEE Symposium on Security and Privacy (SP).

A Framework for Evaluating Client Privacy Leakages in Federated Learning

Wenqi Wei, Mehmet Emre Gursoy, Ling Liu, 2020, ESORICS.

Differentially private nearest neighbor classification

Yücel Saygin, Ali Inan, Mehmet Emre Gursoy, 2017, Data Mining and Knowledge Discovery.

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

Ling Liu, Wenqi Wei, Lei Yu, 2018, CCS.

Congestion Attacks to Autonomous Cars Using Vehicular Botnets

Mario Gerla, Mehmet Emre Gursoy, Peter Reiher, 2015 .

Scalable reactive vehicle-to-vehicle congestion avoidance mechanism

Mario Gerla, Mehmet Emre Gursoy, Peter Reiher, 2015, 2015 12th Annual IEEE Consumer Communications and Networking Conference (CCNC).

Privacy-Preserving Publishing of Hierarchical Data

Yücel Saygin, Mehmet Emre Gursoy, Mehmet Ercan Nergiz, 2016, ACM Trans. Priv. Secur..

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

Ling Liu, Mehmet Emre Gursoy, Kisung Lee, 2018, 2018 IEEE International Conference on Big Data (Big Data).

Adversarial Objectness Gradient Attacks in Real-time Object Detection Systems

Wenqi Wei, Ling Liu, Mehmet Emre Gursoy, 2020, 2020 Second IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA).

Towards Demystifying Membership Inference Attacks pdf

Ling Liu, Wenqi Wei, Lei Yu, 2018, ArXiv.

Understanding Object Detection Through An Adversarial Lens

Wenqi Wei, Mehmet Emre Gursoy, Ling Liu, 2020, ESORICS.

Utility-aware and privacy-preserving mobile query services pdf

Mehmet Emre Gursoy, Ling Liu, Emre Yigitoglu, 2019, ArXiv.

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

Calton Pu, Qi Zhang, Ling Liu, 2019, 2019 IEEE First International Conference on Cognitive Machine Intelligence (CogMI).

Known Sample Attacks on Relation Preserving Data Transformations

Emre Kaplan, Mehmet Emre Gursoy, Mehmet Ercan Nergiz, 2020, IEEE Transactions on Dependable and Secure Computing.

Explode: An Extensible Platform for Differentially Private Data Analysis

Ali Inan, Mehmet Emre Gursoy, Yucel Saygin, 2016, 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW).