| LDP-Fed: federated learning with local differential privacy S Truex, L Liu, KH Chow, ME Gursoy, W Wei ACM International Workshop on Edge Systems, Analytics and Networking 2020, 2020 | 458 | 2020 |
| A framework for evaluating client privacy leakages in federated learning W Wei, L Liu, M Loper, KH Chow, ME Gursoy, S Truex, Y Wu European Symposium on Research in Computer Security 2020, 2020 | 299* | 2020 |
| Demystifying Learning Rate Polices for High Accuracy Training of Deep Neural Networks Y Wu, L Liu, J Bae, KH Chow, A Iyengar, C Pu, W Wei, L Yu, Q Zhang IEEE International Conference on Big Data 2019, 2019 | 187 | 2019 |
| 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 IEEE International Conference on Trust, Privacy and Security in Intelligent …, 2020 | 116* | 2020 |
| 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 IEEE International Conference on Mobile Ad-Hoc and Smart Systems 2019, 2019 | 82 | 2019 |
| Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics Y Wu, L Liu, Z Xie, KH Chow, W Wei IEEE/CVF Conference on Computer Vision and Pattern Recognition 2021, 2021 | 48 | 2021 |
| Understanding Object Detection Through An Adversarial Lens KH Chow, L Liu, ME Gursoy, S Truex, W Wei, Y Wu European Symposium on Research in Computer Security 2020, 2020 | 30 | 2020 |
| Efficient Locality Classification for Indoor Fingerprint-based Systems KH Chow, S He, J Tan, SHG Chan IEEE Transactions on Mobile Computing 18 (2), 290-304, 2019 | 25 | 2019 |
| Cross-Layer Strategic Ensemble Defense Against Adversarial Examples W Wei, L Liu, M Loper, KH Chow, E Gursoy, S Truex, Y Wu IEEE International Conference on Computing, Networking and Communications 2020, 2020 | 23 | 2020 |
| Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks KH Chow, W Wei, Y Wu, L Liu IEEE International Conference on Big Data 2019, 2019 | 23 | 2019 |
| Adaptive Deep Neural Network Inference Optimization with EENet F Ilhan, KH Chow, S Hu, T Huang, S Tekin, W Wei, Y Wu, M Lee, ... IEEE/CVF Winter Conference on Applications of Computer Vision, 2024 | 21* | 2024 |
| DeepRest: Deep Resource Estimation for Interactive Microservices KH Chow, U Deshpande, S Seshadri, L Liu European Conference on Computer Systems 2022, 2022 | 21 | 2022 |
| An adversarial approach to protocol analysis and selection in local differential privacy ME Gursoy, L Liu, KH Chow, S Truex, W Wei IEEE Transactions on Information Forensics and Security 17, 1785-1799, 2022 | 19 | 2022 |
| Securing distributed sgd against gradient leakage threats W Wei, L Liu, J Zhou, KH Chow, Y Wu IEEE Transactions on Parallel and Distributed Systems 34 (7), 2040-2054, 2023 | 18 | 2023 |
| Implicit Multimodal Crowdsourcing for Joint RF and Geomagnetic Fingerprinting J Tan, H Wu, KH Chow, SHG Chan IEEE Transactions on Mobile Computing 22 (2), 935-950, 2023 | 17 | 2023 |
| Promoting High Diversity Ensemble Learning with EnsembleBench Y Wu, L Liu, Z Xie, J Bae, KH Chow, W Wei IEEE International Conference on Cognitive Machine Intelligence 2020, 2020 | 17 | 2020 |
| Perception poisoning attacks in federated learning KH Chow, L Liu 2021 Third IEEE International Conference on Trust, Privacy and Security in …, 2021 | 14 | 2021 |
| Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace Training T Huang, S Hu, KH Chow, F Ilhan, S Tekin, L Liu Neural Information Processing Systems 2023, 2023 | 13 | 2023 |
| STDLens: Model Hijacking-Resilient Federated Learning for Object Detection KH Chow, L Liu, W Wei, F Ilhan, Y Wu IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023, 2023 | 13 | 2023 |
| Robust Object Detection Fusion Against Deception KH Chow, L Liu ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 2021, 2021 | 13 | 2021 |
Ling LiuGeorgia Institute of Technology在 cc.gatech.edu 的电子邮件经过验证