| Data poisoning attacks against federated learning systems V Tolpegin, S Truex, ME Gursoy, L Liu ESORICS 2020: 25th European Symposium on Research in Computer Security …, 2020 | 897 | 2020 |
| LDP-Fed: federated learning with local differential privacy S Truex, L Liu, KH Chow, ME Gursoy, W Wei Proceedings of the Third ACM International Workshop on Edge Systems …, 2020 | 453 | 2020 |
| Demystifying membership inference attacks in machine learning as a service S Truex, L Liu, ME Gursoy, L Yu, W Wei IEEE Transactions on Services Computing 14 (6), 2073-2089, 2019 | 347 | 2019 |
| Differentially Private Model Publishing for Deep Learning L Yu, L Liu, C Pu, ME Gursoy, S Truex 2019 IEEE Symposium on Security and Privacy (S&P), 2019 | 346 | 2019 |
| Differentially Private Model Publishing for Deep Learning L Yu, L Liu, C Pu, ME Gursoy, S Truex 2019 IEEE Symposium on Security and Privacy (S&P), 2019 | 343 | 2019 |
| A Framework for Evaluating Gradient Leakage Attacks in Federated Learning W Wei, L Liu, M Loper, KH Chow, ME Gursoy, S Truex, Y Wu arXiv preprint arXiv:2004.10397, 2020 | 184 | 2020 |
| A framework for evaluating gradient leakage attacks in federated learning W Wei, L Liu, M Loper, KH Chow, ME Gursoy, S Truex, Y Wu arXiv preprint arXiv:2004.10397 1 (2), 2020 | 184 | 2020 |
| Towards Demystifying Membership Inference Attacks S Truex, L Liu, ME Gursoy, L Yu, W Wei arXiv preprint arXiv:1807.09173, 2018 | 135 | 2018 |
| Privacy-Preserving Learning Analytics: Challenges and Techniques ME Gursoy, A Inan, ME Nergiz, Y Saygin IEEE Transactions on Learning Technologies 10 (1), 68-81, 2017 | 135 | 2017 |
| Differentially private and utility preserving publication of trajectory data ME Gursoy, L Liu, S Truex, L Yu IEEE Transactions on Mobile Computing 18 (10), 2315-2329, 2018 | 129 | 2018 |
| Utility-Aware Synthesis of Differentially Private and Attack-Resilient Location Traces ME Gursoy, L Liu, S Truex, L Yu, W Wei 2018 ACM SIGSAC Conference on Computer and Communications Security (CCS …, 2018 | 121 | 2018 |
| A framework for evaluating client privacy leakages in federated learning W Wei, L Liu, M Loper, KH Chow, ME Gursoy, S Truex, Y Wu ESORICS 2020: 25th European Symposium on Research in Computer Security …, 2020 | 113 | 2020 |
| Secure and Utility-Aware Data Collection with Condensed Local Differential Privacy ME Gursoy, A Tamersoy, S Truex, W Wei, L Liu IEEE Transactions on Dependable and Secure Computing, 2021 | 105 | 2021 |
| Adversarial Objectness Gradient Attacks in Real-time Object Detection Systems KH Chow, L Liu, M Loper, J Bae, ME Gursoy, S Truex, W Wei, Y Wu 2020 Second IEEE International Conference on Trust, Privacy and Security in …, 2020 | 89 | 2020 |
| Congestion attacks to autonomous cars using vehicular botnets MT Garip, ME Gursoy, P Reiher, M Gerla NDSS Workshop on Security of Emerging Networking Technologies (SENT), San …, 2015 | 82 | 2015 |
| Deep Neural Network Ensembles against Deception: Ensemble Diversity, Accuracy and Robustness L Liu, W Wei, KH Chow, M Loper, E Gursoy, S Truex, Y Wu 16th IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS), 2019 | 81 | 2019 |
| Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability S Truex, L Liu, ME Gursoy, W Wei, L Yu 2019 IEEE International Conference on Trust, Privacy and Security in …, 2019 | 63 | 2019 |
| Differentially private nearest neighbor classification ME Gursoy, A Inan, ME Nergiz, Y Saygin Data Mining and Knowledge Discovery 31 (5), 1544-1575, 2017 | 42 | 2017 |
| Scalable reactive vehicle-to-vehicle congestion avoidance mechanism MT Garip, ME Gursoy, P Reiher, M Gerla Proceedings of the 12th Annual IEEE Consumer Communications and Networking …, 2015 | 39 | 2015 |
| Adversarial examples in deep learning: Characterization and divergence W Wei, L Liu, M Loper, S Truex, L Yu, ME Gursoy, Y Wu arXiv preprint arXiv:1807.00051, 2018 | 31 | 2018 |
Ling LiuGeorgia Institute of Technology確認したメール アドレス: cc.gatech.edu
