| Model Inversion Attacks Against Collaborative Inference Z He, T Zhang, RB Lee Annual Computer Security Applications Conference (ACSAC), 148-162, 2019 | 254 | 2019 |
| Machine learning based ddos attack detection from source side in cloud Z He, T Zhang, RB Lee IEEE International Conference on Cyber Security and Cloud Computing (CSCloud …, 2017 | 191 | 2017 |
| Privacy-preserving Machine Learning through Data Obfuscation T Zhang, Z He, RB Lee arXiv preprint arXiv:1807.01860, 2018 | 94 | 2018 |
| How secure is your cache against side-channel attacks? Z He, RB Lee IEEE/ACM International Symposium on Microarchitecture (MICRO), 341-353, 2017 | 93 | 2017 |
| Sensitive-sample fingerprinting of deep neural networks Z He, T Zhang, R Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 81 | 2019 |
| Attacking and Protecting Data Privacy in Edge–Cloud Collaborative Inference Systems Z He, T Zhang, RB Lee IEEE Internet of Things Journal 8 (12), 9706-9716, 2020 | 75 | 2020 |
| ActionBert: Leveraging User Actions for Semantic Understanding of User Interfaces Z He, S Sunkara, X Zang, Y Xu, L Liu, N Wichers, G Schubiner, R Lee, ... AAAI Conference on Artificial Intelligence (AAAI), 2021 | 61 | 2021 |
| Power-grid controller anomaly detection with enhanced temporal deep learning Z He, A Raghavan, G Hu, S Chai, R Lee IEEE International Conference On Trust, Security And Privacy In Computing …, 2019 | 37* | 2019 |
| Miss the Point: Targeted Adversarial Attack on Multiple Landmark Detection Q Yao, Z He, H Han, SK Zhou International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 35 | 2020 |
| New Models for Understanding and Reasoning about Speculative Execution Attacks Z He, G Hu, R Lee IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2021 | 27 | 2021 |
| Verideep: Verifying integrity of deep neural networks through sensitive-sample fingerprinting Z He, T Zhang, RB Lee arXiv preprint arXiv:1808.03277, 2018 | 26 | 2018 |
| Trainable Projected Gradient Method for Robust Fine-tuning J Tian, Z He, X Dai, CY Ma, YC Liu, Z Kira Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 20 | 2023 |
| A hierarchical feature constraint to camouflage medical adversarial attacks Q Yao, Z He, Y Lin, K Ma, Y Zheng, SK Zhou Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 15 | 2021 |
| SoK: Hardware Defenses Against Speculative Execution Attacks G Hu, Z He, RB Lee 2021 International Symposium on Secure and Private Execution Environment …, 2021 | 11 | 2021 |
| Smartphone Impostor Detection with Behavioral Data Privacy and Minimalist Hardware Support G Hu, Z He, RB Lee TinyML Research Symposium, 2021 | 6* | 2021 |
| Cloudshield: Real-time anomaly detection in the cloud Z He, G Hu, RB Lee Proceedings of the Thirteenth ACM Conference on Data and Application …, 2023 | 4 | 2023 |
| Medical Aegis: Robust adversarial protectors for medical images Q Yao, Z He, SK Zhou arXiv preprint arXiv:2111.10969, 2021 | 2 | 2021 |
| Cross-scale color image restoration under high density Salt-and-Pepper Noise Z He, K Tang, L Fang IEEE International Conference on Image Processing (ICIP), 2017 | 2 | 2017 |
| Exp-: Beyond Proportional Aggregation in Federated Learning J Tian, X Dai, CY Ma, Z He, YC Liu, S Ghosh, P Vajda, A Wu, Z Kira | | 2023 |
| Machine-Learned Models for User Interface Prediction, Generation, and Interaction Understanding SK Sunkara, X Zang, Y Xu, L Liu, NH Wichers, GO Schubiner, J Chen, ... US Patent App. 17/335,596, 2022 | | 2022 |
