程珂，博士，西安电子科技大学副教授，硕士生导师，陕西省科协青年人才托举计划入选者。隶属于西安电子科技大学马建峰教授、沈玉龙教授领导的陕西省网络与系统安全重点实验室、“网络与信息安全”教育部创新团队。

·   研究方向包括云计算与数据安全、隐私保护机器学习、应用密码学等，在IEEE TC、IEEE TIFS、IEEE TDSC、计算机学报、IEEE INFOCOM、ESORICS等主流学术期刊和会议上发表论文30余篇，其中一作/通信14篇，包括CCF A类/中科院一区8篇，CCF B类/中科院二区4篇；授权国家发明专利10余项。

·   主持了国家自然科学基金青年项目、陕西省自然科学基金青年项目、陕西省科协青年人才托举计划项目等，核心参与了国家重点研发计划（战略性国际科技创新合作重点专项、网络空间安全治理专项）、国家自然科学基金重点国际(地区)合作研究项目、陕西省创新团队项目等10余项。

·   获2022年陕西高等学校科学技术奖二等奖、2021年陕西高等学校科学技术奖一等奖等。

·   团队开源项目—密态数据安全计算库NssMPClib，获开源开发者平台GitCode“年度十大开源项目”，项目地址: GitHub、GitCode

招生信息：

·   沈玉龙教授团队致力于云计算与数据安全、智能网络内生安全、无人机系统安全等方向的研究，欢迎积极上进、勤奋好学的推免与考研同学联系我们。

·   长期招收本科生加入团队参与科研及相关学科竞赛，以发表高水平论文、国家级竞赛奖项为目标，有意者请通过邮件(chengke@xidian.edu.cn)与我联系（附简历）。

代表性学术成果：

[1] Jiaxuan Fu, Ke Cheng*, Anxiao Song, Zhao Chang, Yulong Shen. FSS-DBSCAN: Outsourced Private Density-based Clustering via Function Secret Sharing[J], IEEE Transactions on Information Forensics and Security  (IEEE TIFS), 2024, 19: 7759-7773. (CCF A类)

[2] Xutong Mu, Ke Cheng*, Teng Liu, Tao Zhang, Xueli Geng, Yulong Shen. FedPTA: Prior-Based Tensor Approximation for Detecting Malicious Clients in Federated Learning[J], IEEE Transactions on Information Forensics and Security  (IEEE TIFS), 2024, 19: 9100-9114. (CCF A类)

[3] Jiaxuan Fu, Ke Cheng*, Zhao Chang, Yulong Shen. PPA-DBSCAN: Privacy-preserving ρ-approximate density-based clustering[J], IEEE Transactions on Dependable and Secure Computing  (IEEE TDSC), 2024, 21(6): 5259-5274. (CCF A类)

[4] Xutong Mu, Ke Cheng, Yulong Shen, Xiaoxiao Li, Zhao Chang, Tao Zhang, Xindi Ma. FedDMC: Efficient and Robust Federated Learning via Detecting Malicious Clients [J]. IEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2024, 21(6): 5259-5274. (CCF A类)

[5] Jiaxuan Fu, Ke Cheng*, Yuheng Xia, Anxiao Song, Qianxing Li, Yulong Shen. Private Decision Tree Evaluation with Malicious Security via Function Secret Sharing[C]//29th European Symposium on Research in Computer Security (ESORICS 2024), Bydgoszcz, Poland, September, 2024. (CCF B类)

[6] 穆旭彤, 程珂*, 宋安霄, 张涛, 张志为, 沈玉龙*. 抗拜占庭攻击的隐私保护联邦学习[J]. 计算机学报, 2024, 47(4):842-861. (CCF A类)

[7] Ke Cheng, Ning Xi, Ximeng Liu, Xinghui Zhu, Haichang Gao, Zhiwei Zhang, Yulong Shen. Private inference for deep neural networks: a secure, adaptive, and efficient realization[J], IEEE Transactions on Computers (IEEE TC), 2023, 72(12): 3519-3531. (CCF A类)

[8] Ke Cheng, Yantian Hou, Liangmin Wang. Secure similar sequence query over multi-source genomic data on cloud[J]. IEEE Transactions on Cloud Computing (IEEE TCC), 2022, 11(3): 2803-2819. (中科院二区)

[9] Ke Cheng, Liangmin Wang, Yulong Shen, Hua Wang, Yongzhi Wang, Xiaohong Jiang, Hong Zhong. Secure k-NN query on encrypted cloud data with multiple keys[J]. IEEE Transactions on Big Data (IEEE TBD), 2021, 7(4): 689-702. (中科院二区)

[10] Ke Cheng, Liangmin Wang, Yulong Shen, Yangyang Liu, Yongzhi Wang, Lele Zheng. A lightweight auction framework for spectrum allocation with strong security guarantees[C]//Proceedings of IEEE International Conference on Computer Communications (INFOCOM 2020), Toronto, Canada, June, 2020. (CCF A类)

[11] Ke Cheng, Yulong Shen, Yongzhi Wang, Liangmin Wang, Jianfeng Ma, Xionghong Jiang, Cuicui Su. Strongly secure and efficient range queries in cloud databases under multiple keys[C]//Proceedings of IEEE International Conference on Computer Communications (INFOCOM 2019), Pairs, France, April, 2019. (CCF A类)

[12] Ke Cheng, Yantian Hou, Liangmin Wang. Secure similar sequence query on outsourced genomic data[C]//Proceeding of the 13th ACM ASIA Conference on Information, Computer and Communications Security (AsiaCCS 2018), Incheon, Korea, June, 2018. (密码学会B类)