职称/职务：特聘副研究员

电子邮件：hao.ren@scu.edu.cn

办公地点：江安校区多学科交叉研究创新大楼1012

个人主页：https://scholar.google.com/citations?user=P_ImPS0AAAAJ&hl=zh-CN

研究方向：数据安全与隐私保护、AI安全、应用密码学

个人简介

2020年12月在电子科技大学获得工学博士学位，导师为IEEE Fellow李洪伟教授。在2018年12月至2020年1月期间受国家留学基金委资助，于加拿大滑铁卢大学，加拿大皇家学会会士、中国工程院外籍院士Xuemin (Sherman) Shen教授处接受联合培养。现为四川大学特聘副研究员（人才引进），合作导师为网络空间安全学院院长陈兴蜀教授。2022年7月至2024年2月在新加坡南洋理工大学（Cyber Security Lab）担任博士后研究员，合作导师为AI安全领域国际著名专家Tianwei Zhang教授。2021年8月至2022年6月在香港理工大学担任博士后，合作导师为IEEE Fellow Guo Song教授。代表性研究成果主要发表在CCF-A类期刊和会议以及SCI一区Top期刊上，包括IEEE Transactions on Information Forensics and Security, IEEE Transactions on Dependable and Secure Computing, ACM The Web Conference等。现为IEEE会员，IEEE计算机学会，IEEE通信学会会员。IEEE TIFS、TMC、TCC、IoTJ等相关领域国际顶级期刊审稿人，IEEE ComSoc旗舰会议ICC、GLOBECOM的程序委员会委员，国际知识科学、知识工程和知识管理国际学术会议KSEM 2023程序委员会委员。研究领域包括数据安全与隐私保护、AI模型与数据安全、应用密码算法与协议设计。

人才培养及获奖情况

1.IEEE International Conference on Big Data Security on Cloud (BigDataSecurity)大会唯一最佳论文奖，2023。

2.网络安全奖学金，发奖单位：中国互联网基金会，2017。

3.四川省优秀毕业生，2021。

主持参与科研项目情况

1.国家自然科学基金委员会（青年基金），大规模密文数据包深度检测关键技术研究，30万，2025-01至2027-12，在研，主持。

2.四川大学引进人才科研启动经费资助项目，基于对称密码体系的密文数据包高效检测技术研究，30万，2024-05至2026-12，在研，主持。

3.中国药品监督管理研究会，医疗器械电子接口及数据安全的风险及评价方法研究，5万，2024-06至2025-06，在研，主持。

4.国家自然科学基金委员会（面上项目）,基于梯度安全性的联邦学习隐私技术研究, 2021-01-01至2024-12-31, 56万元,在研,参与。

5.国家自然科学基金委员会（国际(地区)合作与交流项目），基于边缘计算的物联网应用中安全与隐私保护技术研究, 2021-01-01至2025-12-31, 232万元,在研,参与。

代表性论文、专利、标准及著作

论文：

[1]Hao Ren, Guowen Xu, Tianwei Zhang, Jianting Ning, Xinyi Huang, Hongwei Li, "Efficiency Boosting of Secure Cross-Platform Recommender Systems Over Sparse Data," in IEEE Transactions on Dependable and Secure Computing, doi: 10.1109/TDSC.2024.3478786.

[2]Hao Ren, Hongwei Li, Dongxiao Liu, Guowen Xu, Nan Cheng, Xumin Shen, “Privacy-Preserving Efficient Verifiable Deep Packet Inspection for Cloud-Assisted Middlebox” in IEEE Transactions on Cloud Computing ,2022, vol.10, no.2 pp.1052-1064 .

[3]Hao Ren, Hongwei Li, Dongxiao Liu, Guowen Xu, Xumin Shen, “Enabling Secure and Versatile Packet Inspection With Probable Cause Privacy for Outsourced Middlebox” in IEEE Transactions on Cloud Computing , 2022, vol.10, no.4 pp. 2580-2594.

[4]Hao Ren, Guowen Xu, Han Qi and Tianwei Zhang, "PriFR: Privacy-preserving Large-scale File Retrieval System via Blockchain for Encrypted Cloud Data," 2023 IEEE Intl Conference on Big Data Security on Cloud (BigDataSecurity), New York, NY, USA, 2023, pp. 16-23. (Best paper award)

[5] Haozhao Wang, Yabo Jia, Meng Zhang, Qinghao Hu,Hao Ren (Corresponding author), Peng Sun, Yonggang Wen, and Tianwei Zhang. 2024. FedDSE: Distribution-aware Sub-model Extraction for Federated Learning over Resource-constrained Devices. In Proceedings of the ACM Web Conference 2024 (WWW '24).

[6]Hao Ren, Hongwei Li, Yuanshun Dai, Kan Yang and Xiaodong Lin, "Querying in Internet of Things with Privacy Preserving: Challenges, Solutions and Opportunities," inIEEE Network, vol. 32, no. 6, pp. 144-151, November/December 2018.

[7] Cong Wu, Jing Chen, Qianru Fang, Kun He, Ziming Zhao,Hao Ren, et al. "Rethinking Membership Inference Attacks Against Transfer Learning," in IEEE Transactions on Information Forensics and Security, vol. 19, pp. 6441-6454, 2024, doi: 10.1109/TIFS.2024.3413592.

[8] Guowen Xu, Hongwei Li,Hao Ren, Jianfei Sun, Shengmin Xu, Jianting Ning, Haomiao Yang, Kan Yang, and Robert H. Deng. 2020. Secure and Verifiable Inference in Deep Neural Networks. In Proceedings of the 36th Annual Computer Security Applications Conference (ACSAC '20).

[9] Guowen Xu, Hongwei Li, Shengmin Xu,Hao Ren, Yinghui Zhang, Jianfei Sun, and Robert H. Deng. 2020. Catch You If You Deceive Me: Verifiable and Privacy-Aware Truth Discovery in Crowdsensing Systems. In Proceedings of the 15th ACM Asia Conference on Computer and Communications Security (ASIA CCS '20).

[10] Xiaoyuan Liu, Hongwei Li, Yuanian andHao Ren, "Efficient Homomorphic Convolution for Secure Deep Learning Inference," 2023 20th Annual International Conference on Privacy, Security and Trust (PST).

[11] Guowen Xu, Hongwei Li,Hao Ren, Xiaodong Lin and Xuemin Shen, "DNA Similarity Search With Access Control Over Encrypted Cloud Data," in IEEE Transactions on Cloud Computing, vol. 10, no. 2, pp. 1233-1252, 1 April-June 2022.

[12] Guowen Xu, Hongwei Li,Hao Ren, Kan Yang and Rerbet. H. Deng, "Data Security Issues in Deep Learning: Attacks, Countermeasures, and Opportunities," inIEEE Communications Magazine, vol. 57, no. 11, pp. 116-122, November 2019

[13]Hao Ren, et al. Application: Privacy, Security, Robustness and Trustworthiness in Edge AI[J]. Machine Learning on Commodity Tiny Devices, 2022: 161-186.

[14]Hao Ren, Hongwei Li, Dongxiao Liu and Xuemin Shen, "Toward Efficient and Secure Deep Packet Inspection for Outsourced Middlebox," in IEEE International Conference on Communications (ICC), Shanghai, China, 2019.

[15]Hao Ren, Hongwei Li, Hao Chen, et al., "Efficient privacy-preserving circular range search on outsourced spatial data," IEEE International Conference on Communications (ICC), Kuala Lumpur, Malaysia, 2016.

专利：

李洪伟;任昊;陈昊;一种针对加密的空间数据的圆形范围搜索方法, 2018-09-21,中国, ZL 2016 1 0113032.1。