Model Inversion Attacks Against Collaborative Inference Z He, T Zhang, RB Lee
Annual Computer Security Applications Conference (ACSAC), 148-162, 2019
304 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
206 2017 Privacy-preserving Machine Learning through Data Obfuscation T Zhang, Z He, RB Lee
arXiv preprint arXiv:1807.01860, 2018
100 2018 How secure is your cache against side-channel attacks? Z He, RB Lee
IEEE/ACM International Symposium on Microarchitecture (MICRO), 341-353, 2017
100 2017 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
92 2020 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
91 2019 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
71 2021 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
41 2020 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
36 * 2019 Verideep: Verifying integrity of deep neural networks through sensitive-sample fingerprinting Z He, T Zhang, RB Lee
arXiv preprint arXiv:1808.03277, 2018
34 2018 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
28 2021 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
27 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
19 2021 SoK: Hardware Defenses Against Speculative Execution Attacks G Hu, Z He, RB Lee
2021 International Symposium on Secure and Private Execution Environment …, 2021
17 2021 Smartphone Impostor Detection with Behavioral Data Privacy and Minimalist Hardware Support G Hu, Z He, RB Lee
TinyML Research Symposium, 2021
7 * 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
6 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- 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
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