Hao Wu

According to our database, Hao Wu authored at least 20 papers between 2019 and 2024.

Collaborative distances:

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

2024

TIM: Enabling Large-Scale White-Box Testing on In-App Deep Learning Models.

Hao Wu, Yuhang Gong, Xiaopeng Ke, Hanzhong Liang, Fengyuan Xu, Yunxin Liu, Sheng Zhong

IEEE Trans. Inf. Forensics Secur., 2024

FLiP: Privacy-Preserving Federated Learning based on the Principle of Least Privileg.

ShiMao Xu, Xiaopeng Ke, Xing Su, Shucheng Li, Hao Wu, Sheng Zhong, Fengyuan Xu

CoRR, 2024

CoAst: Validation-Free Contribution Assessment for Federated Learning based on Cross-Round Valuation.

Hao Wu, Likun Zhang, Shucheng Li, Fengyuan Xu, Sheng Zhong

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

VIDAR: Data Quality Improvement for Monocular 3D Reconstruction through In-situ Visual Interaction.

Han Gao, Yating Liu, Fang Cao, Hao Wu, Fengyuan Xu, Sheng Zhong

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

MuSR: Multi-Scale 3D Scenes Reconstruction based on Monocular Video.

Han Gao, Hao Wu, Peiwen Dong, Yixin Xu, Fengyuan Xu, Sheng Zhong

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

LEAP: TrustZone Based Developer-Friendly TEE for Intelligent Mobile Apps.

Lizhi Sun, Shuocheng Wang, Hao Wu, Yuhang Gong, Fengyuan Xu, Yunxin Liu, Hao Han, Sheng Zhong

IEEE Trans. Mob. Comput., December, 2023

Dataset Preparation for Arbitrary Object Detection: An Automatic Approach based on Web Information in English.

Shucheng Li, Boyu Chang, Bo Yang, Hao Wu, Sheng Zhong, Fengyuan Xu

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

SIEGE: Self-Supervised Incremental Deep Graph Learning for Ethereum Phishing Scam Detection.

Shucheng Li, Runchuan Wang, Hao Wu, Sheng Zhong, Fengyuan Xu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

GAPter: Gray-Box Data Protector for Deep Learning Inference Services at User Side.

Hao Wu, Bo Yang, Xiaopeng Ke, Siyi He, Fengyuan Xu, Sheng Zhong

Proceedings of the IEEE International Conference on Acoustics, 2023

APter: Privacy Enhancement in Deep Learning Services following Principle of Least Privilege.

Hao Wu

Proceedings of the ACM Turing Award Celebration Conference - China 2023, 2023

2022

Automation Slicing and Testing for in-App Deep Learning Models.

Hao Wu, Yuhang Gong, Xiaopeng Ke, Hanzhong Liang, Minghao Li, Fengyuan Xu, Yunxin Liu, Sheng Zhong

CoRR, 2022

DIComP: Lightweight Data-Driven Inference of Binary Compiler Provenance with High Accuracy.

Ligeng Chen, Zhongling He, Hao Wu, Fengyuan Xu, Yi Qian, Bing Mao

Proceedings of the IEEE International Conference on Software Analysis, 2022

AVMiner: Expansible and Semantic-Preserving Anti-Virus Labels Mining Method.

Ligeng Chen, Zhongling He, Hao Wu, Yuhang Gong, Bing Mao

Proceedings of the IEEE International Conference on Trust, 2022

Towards Practical and Efficient Long Video Summary.

Xiaopeng Ke, Boyu Chang, Hao Wu, Fengyuan Xu, Sheng Zhong

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

App Developer Centric Trusted Execution Environment.

Lizhi Sun, Shuocheng Wang, Hao Wu, Yuhang Gong, Fengyuan Xu, Yunxin Liu, Hao Han, Sheng Zhong

CoRR, 2021

DAPter: Preventing User Data Abuse in Deep Learning Inference Services.

Hao Wu, Xuejin Tian, Yuhang Gong, Xing Su, Minghao Li, Fengyuan Xu

Proceedings of the WWW '21: The Web Conference 2021, 2021

PECAM: privacy-enhanced video streaming and analytics via securely-reversible transformation.

Hao Wu, Xuejin Tian, Minghao Li, Yunxin Liu, Ganesh Ananthanarayanan, Fengyuan Xu, Sheng Zhong

Proceedings of the ACM MobiCom '21: The 27th Annual International Conference on Mobile Computing and Networking, 2021

2020

EMO: real-time emotion recognition from single-eye images for resource-constrained eyewear devices.

Hao Wu, Jinghao Feng, Xuejin Tian, Edward Sun, Yunxin Liu, Bo Dong, Fengyuan Xu, Sheng Zhong

Proceedings of the MobiSys '20: The 18th Annual International Conference on Mobile Systems, 2020

2019

secGAN: A Cycle-Consistent GAN for Securely-Recoverable Video Transformation.

Hao Wu, Jinghao Feng, Xuejin Tian, Fengyuan Xu, Yunxin Liu, XiaoFeng Wang, Sheng Zhong

Proceedings of the 2019 Workshop on Hot Topics in Video Analytics and Intelligent Edges, 2019

Broken Relationship of Mobile User Intentions and Permission Control of Shared System Resources.

Hao Wu, Zheng Qin, Xuejin Tian, Edward Sun, Fengyuan Xu, Sheng Zhong

Proceedings of the 2019 IEEE Conference on Dependable and Secure Computing, 2019