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Smartphone Impostor Detection with Behavioral Data Privacy and Minimalist Hardware Support

Mar 17, 2021
Guangyuan Hu, Zecheng He, Ruby B. Lee

* Accepted by tinyML 2021 Research Symposium. arXiv admin note: substantial text overlap with arXiv:2002.03914 

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ActionBert: Leveraging User Actions for Semantic Understanding of User Interfaces

Jan 25, 2021
Zecheng He, Srinivas Sunkara, Xiaoxue Zang, Ying Xu, Lijuan Liu, Nevan Wichers, Gabriel Schubiner, Ruby Lee, Jindong Chen, Blaise Agüera y Arcas

* Accepted to AAAI Conference on Artificial Intelligence (AAAI-21) 

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A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks

Dec 17, 2020
Qingsong Yao, Zecheng He, Yi Lin, Kai Ma, Yefeng Zheng, S. Kevin Zhou

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Miss the Point: Targeted Adversarial Attack on Multiple Landmark Detection

Jul 10, 2020
Qingsong Yao, Zecheng He, Hu Han, S. Kevin Zhou

* accepted by MICCAI2020 

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

Sep 21, 2018
Zecheng He, Aswin Raghavan, Sek Chai, Ruby Lee

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

Aug 20, 2018
Zecheng He, Tianwei Zhang, Ruby B. Lee

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Privacy-preserving Machine Learning through Data Obfuscation

Jul 13, 2018
Tianwei Zhang, Zecheng He, Ruby B. Lee

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