| 2026 | COMPSAC | Understanding Stylistic and Syntactic Backdoor Attacks in Text Classification. | Omer Faruk Atasoy, Emirhan Elibol, A. Dilara Yavuz, Mehmet Emre Gursoy |
| 2025 | ESORICS | Don't Hash Me Like That: Exposing and Mitigating Hash-Induced Unfairness in Local Differential Privacy. | Berkay Kemal Balioglu, Alireza Khodaie, Mehmet Emre Gursoy |
| 2025 | ESORICS | Strategic Sample Selection for Improved Clean-Label Backdoor Attacks in Text Classification. | Onur Alp Kirci, Mehmet Emre Gursoy |
| 2025 | SEC | Post-processing in Local Differential Privacy: An Extensive Evaluation and Benchmark Platform. | Alireza Khodaie, Berkay Kemal Balioglu, Mehmet Emre Gursoy |
| 2024 | CRiSIS | Injecting Bias into Text Classification Models Using Backdoor Attacks. | A. Dilara Yavuz, Mehmet Emre Gursoy |
| 2024 | ESORICS | Grid-Based Decompositions for Spatial Data Under Local Differential Privacy. | Berkay Kemal Balioglu, Alireza Khodaie, Ameer Taweel, Mehmet Emre Gursoy |
| 2023 | DBSEC | Building Quadtrees for Spatial Data Under Local Differential Privacy. | Ece Alptekin, Mehmet Emre Gursoy |
| 2023 | ESORICS | Learning Markov Chain Models from Sequential Data Under Local Differential Privacy. | Efehan Guner, Mehmet Emre Gursoy |
| 2023 | SECRYPT | On the Effectiveness of Re-Identification Attacks and Local Differential Privacy-Based Solutions for Smart Meter Data. | Zeynep Sila Kaya, Mehmet Emre Gursoy |
| 2022 | DASC | Physical Activity Recognition using Deep Transfer Learning with Convolutional Neural Networks. | Berke Ataseven, Alireza Madani, Beren Semiz, Mehmet Emre Gursoy |
| 2022 | DASC | Detection and Mitigation of Targeted Data Poisoning Attacks in Federated Learning. | Pinar Erbil, Mehmet Emre Gursoy |
| 2020 | ESORICS | Understanding Object Detection Through an Adversarial Lens. | Ka-Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu |
| 2020 | ESORICS | Data Poisoning Attacks Against Federated Learning Systems. | Vale Tolpegin, Stacey Truex, Mehmet Emre Gursoy, Ling Liu |
| 2020 | ESORICS | 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 |
| 2020 | EuroSys | LDP-Fed: federated learning with local differential privacy. | Stacey Truex, Ling Liu, Ka-Ho Chow, Mehmet Emre Gursoy, Wenqi Wei |
| 2019 | MASS | 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 |
| 2019 | SP | Differentially Private Model Publishing for Deep Learning. | Lei Yu, Ling Liu, Calton Pu, Mehmet Emre Gursoy, Stacey Truex |
| 2018 | CCS | Utility-Aware Synthesis of Differentially Private and Attack-Resilient Location Traces. | Mehmet Emre Gursoy, Ling Liu, Stacey Truex, Lei Yu, Wenqi Wei |
| 2017 | BigData | Privacy-Preserving Inductive Learning with Decision Trees. | Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Lei Yu |
| 2016 | ICDM | Explode: An Extensible Platform for Differentially Private Data Analysis. | Emir Esmerdag, Mehmet Emre Gursoy, Ali Inan, Ycel Saygin |
| 2016 | SSDBM | Graph-based modelling of query sets for differential privacy. | Ali Inan, Mehmet Emre Gursoy, Emir Esmerdag, Ycel Saygin |