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2020 – today
- 2024
[j2]Qingsong Yao
, Zecheng He, Yuexiang Li, Yi Lin, Kai Ma, Yefeng Zheng, S. Kevin Zhou:
Adversarial Medical Image With Hierarchical Feature Hiding. IEEE Trans. Medical Imaging 43(4): 1296-1307 (2024)- [c14]Qingsong Yao, Zecheng He, Xiaodong Yu, S. Kevin Zhou:
Nowhere to Hide: Toward Robust Reactive Medical Adversarial Defense. ISBI 2024: 1-5 - [i15]Zecheng He, Bo Sun, Felix Juefei-Xu, Haoyu Ma, Ankit Ramchandani, Vincent Cheung, Siddharth Shah, Anmol Kalia, Harihar Subramanyam, Alireza Zareian, Li Chen, Ankit Jain, Ning Zhang, Peizhao Zhang, Roshan Sumbaly, Peter Vajda, Animesh Sinha:
Imagine yourself: Tuning-Free Personalized Image Generation. CoRR abs/2409.13346 (2024) - 2023
- [c13]Zecheng He, Guangyuan Hu, Ruby B. Lee:
CloudShield: Real-time Anomaly Detection in the Cloud. CODASPY 2023: 91-102 - [c12]Junjiao Tian, Xiaoliang Dai, Chih-Yao Ma, Zecheng He, Yen-Cheng Liu, Zsolt Kira:
Trainable Projected Gradient Method for Robust Fine-Tuning. CVPR 2023: 7836-7845 - [i14]Guangyuan Hu, Zecheng He, Ruby B. Lee:
SoK: Hardware Defenses Against Speculative Execution Attacks. CoRR abs/2301.03724 (2023) - [i13]Junjiao Tian, Xiaoliang Dai, Chih-Yao Ma, Zecheng He, Yen-Cheng Liu, Zsolt Kira:
Trainable Projected Gradient Method for Robust Fine-tuning. CoRR abs/2303.10720 (2023) - [i12]Qingsong Yao, Zecheng He, Yuexiang Li, Yi Lin, Kai Ma, Yefeng Zheng, S. Kevin Zhou:
Adversarial Medical Image with Hierarchical Feature Hiding. CoRR abs/2312.01679 (2023) - 2021
- [b1]Zecheng He:
Security Meets Deep Learning. Princeton University, USA, 2021 - [j1]Zecheng He, Tianwei Zhang, Ruby B. Lee:
Attacking and Protecting Data Privacy in Edge-Cloud Collaborative Inference Systems. IEEE Internet Things J. 8(12): 9706-9716 (2021) - [c11]Zecheng He, Srinivas Sunkara, Xiaoxue Zang, Ying Xu, Lijuan Liu, Nevan Wichers, Gabriel Schubiner, Ruby B. Lee, Jindong Chen:
ActionBert: Leveraging User Actions for Semantic Understanding of User Interfaces. AAAI 2021: 5931-5938 - [c10]Zecheng He, Guangyuan Hu, Ruby B. Lee:
New Models for Understanding and Reasoning about Speculative Execution Attacks. HPCA 2021: 40-53 - [c9]Qingsong Yao, Zecheng He, Yi Lin, Kai Ma, Yefeng Zheng, S. Kevin Zhou:
A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks. MICCAI (3) 2021: 36-47 - [c8]Guangyuan Hu, Zecheng He, Ruby B. Lee:
SoK: Hardware Defenses Against Speculative Execution Attacks. SEED 2021: 108-120 - [i11]Guangyuan Hu, Zecheng He, Ruby B. Lee:
Smartphone Impostor Detection with Behavioral Data Privacy and Minimalist Hardware Support. CoRR abs/2103.06453 (2021) - [i10]Zecheng He, Ruby B. Lee:
CloudShield: Real-time Anomaly Detection in the Cloud. CoRR abs/2108.08977 (2021) - [i9]Qingsong Yao, Zecheng He, S. Kevin Zhou:
Medical Aegis: Robust adversarial protectors for medical images. CoRR abs/2111.10969 (2021) - 2020
- [c7]Qingsong Yao, Zecheng He, Hu Han, S. Kevin Zhou:
Miss the Point: Targeted Adversarial Attack on Multiple Landmark Detection. MICCAI (4) 2020: 692-702 - [i8]Guangyuan Hu, Zecheng He, Ruby B. Lee:
Smartphone Impostor Detection with Built-in Sensors and Deep Learning. CoRR abs/2002.03914 (2020) - [i7]Qingsong Yao, Zecheng He, Hu Han, S. Kevin Zhou:
Miss the Point: Targeted Adversarial Attack on Multiple Landmark Detection. CoRR abs/2007.05225 (2020) - [i6]Zecheng He, Guangyuan Hu, Ruby B. Lee:
New Models for Understanding and Reasoning about Speculative Execution Attacks. CoRR abs/2009.07998 (2020) - [i5]Qingsong Yao, Zecheng He, Yi Lin, Kai Ma, Yefeng Zheng, S. Kevin Zhou:
A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks. CoRR abs/2012.09501 (2020) - [i4]Zecheng He, Srinivas Sunkara, Xiaoxue Zang, Ying Xu, Lijuan Liu, Nevan Wichers, Gabriel Schubiner, Ruby B. Lee, Jindong Chen:
ActionBert: Leveraging User Actions for Semantic Understanding of User Interfaces. CoRR abs/2012.12350 (2020)
2010 – 2019
- 2019
- [c6]Zecheng He, Tianwei Zhang, Ruby B. Lee:
Model inversion attacks against collaborative inference. ACSAC 2019: 148-162 - [c5]Zecheng He, Tianwei Zhang, Ruby B. Lee:
Sensitive-Sample Fingerprinting of Deep Neural Networks. CVPR 2019: 4729-4737 - [c4]Zecheng He, Aswin Raghavan, Guangyuan Hu, Sek M. Chai, Ruby B. Lee:
Power-Grid Controller Anomaly Detection with Enhanced Temporal Deep Learning. TrustCom/BigDataSE 2019: 160-167 - 2018
- [i3]Zecheng He, Aswin Raghavan, Sek M. Chai, Ruby B. Lee:
Detecting Zero-day Controller Hijacking Attacks on the Power-Grid with Enhanced Deep Learning. CoRR abs/1806.06496 (2018) - [i2]Tianwei Zhang, Zecheng He, Ruby B. Lee:
Privacy-preserving Machine Learning through Data Obfuscation. CoRR abs/1807.01860 (2018) - [i1]Zecheng He, Tianwei Zhang, Ruby B. Lee:
VerIDeep: Verifying Integrity of Deep Neural Networks through Sensitive-Sample Fingerprinting. CoRR abs/1808.03277 (2018) - 2017
- [c3]Zecheng He, Tianwei Zhang, Ruby B. Lee:
Machine Learning Based DDoS Attack Detection from Source Side in Cloud. CSCloud 2017: 114-120 - [c2]Zecheng He, Ketan Tang, Lu Fang:
Cross-scale color image restoration under high density Salt-and-Pepper Noise. ICIP 2017: 3780-3784 - [c1]Zecheng He, Ruby B. Lee:
How secure is your cache against side-channel attacks? MICRO 2017: 341-353
Coauthor Index
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