Zecheng He

According to our database, Zecheng He authored at least 22 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Adversarial Medical Image With Hierarchical Feature Hiding.

Qingsong Yao, Zecheng He, Yuexiang Li, Yi Lin, Kai Ma, Yefeng Zheng, S. Kevin Zhou

IEEE Trans. Medical Imaging, April, 2024

2023

Trainable Projected Gradient Method for Robust Fine-Tuning.

Junjiao Tian, Xiaoliang Dai, Chih-Yao Ma, Zecheng He, Yen-Cheng Liu, Zsolt Kira

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

CloudShield: Real-time Anomaly Detection in the Cloud.

Zecheng He, Guangyuan Hu, Ruby B. Lee

Proceedings of the Thirteenth ACM Conference on Data and Application Security and Privacy, 2023

2021

Attacking and Protecting Data Privacy in Edge-Cloud Collaborative Inference Systems.

Zecheng He, Tianwei Zhang, Ruby B. Lee

IEEE Internet Things J., 2021

Medical Aegis: Robust adversarial protectors for medical images.

Qingsong Yao, Zecheng He, S. Kevin Zhou

CoRR, 2021

CloudShield: Real-time Anomaly Detection in the Cloud.

Zecheng He, Ruby B. Lee

CoRR, 2021

Smartphone Impostor Detection with Behavioral Data Privacy and Minimalist Hardware Support.

Guangyuan Hu, Zecheng He, Ruby B. Lee

CoRR, 2021

SoK: Hardware Defenses Against Speculative Execution Attacks.

Guangyuan Hu, Zecheng He, Ruby B. Lee

Proceedings of the 2021 International Symposium on Secure and Private Execution Environment Design (SEED), 2021

A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks.

Qingsong Yao, Zecheng He, Yi Lin, Kai Ma, Yefeng Zheng, S. Kevin Zhou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

New Models for Understanding and Reasoning about Speculative Execution Attacks.

Zecheng He, Guangyuan Hu, Ruby B. Lee

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2021

ActionBert: Leveraging User Actions for Semantic Understanding of User Interfaces.

Zecheng He, Srinivas Sunkara, Xiaoxue Zang, Ying Xu, Lijuan Liu, Nevan Wichers, Gabriel Schubiner, Ruby B. Lee, Jindong Chen

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Smartphone Impostor Detection with Built-in Sensors and Deep Learning.

Guangyuan Hu, Zecheng He, Ruby B. Lee

CoRR, 2020

Miss the Point: Targeted Adversarial Attack on Multiple Landmark Detection.

Qingsong Yao, Zecheng He, Hu Han, S. Kevin Zhou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Power-Grid Controller Anomaly Detection with Enhanced Temporal Deep Learning.

Zecheng He, Aswin Raghavan, Guangyuan Hu, Sek M. Chai, Ruby B. Lee

Proceedings of the 18th IEEE International Conference On Trust, 2019

Sensitive-Sample Fingerprinting of Deep Neural Networks.

Zecheng He, Tianwei Zhang, Ruby B. Lee

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Model inversion attacks against collaborative inference.

Zecheng He, Tianwei Zhang, Ruby B. Lee

Proceedings of the 35th Annual Computer Security Applications Conference, 2019

2018

VerIDeep: Verifying Integrity of Deep Neural Networks through Sensitive-Sample Fingerprinting.

Zecheng He, Tianwei Zhang, Ruby B. Lee

CoRR, 2018

Privacy-preserving Machine Learning through Data Obfuscation.

Tianwei Zhang, Zecheng He, Ruby B. Lee

CoRR, 2018

Detecting Zero-day Controller Hijacking Attacks on the Power-Grid with Enhanced Deep Learning.

Zecheng He, Aswin Raghavan, Sek M. Chai, Ruby B. Lee

CoRR, 2018

2017

How secure is your cache against side-channel attacks?

Zecheng He, Ruby B. Lee

Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture, 2017

Cross-scale color image restoration under high density Salt-and-Pepper Noise.

Zecheng He, Ketan Tang, Lu Fang

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Machine Learning Based DDoS Attack Detection from Source Side in Cloud.

Zecheng He, Tianwei Zhang, Ruby B. Lee

Proceedings of the 4th IEEE International Conference on Cyber Security and Cloud Computing, 2017