Welcome to Xianjin Fang's Website!

方贤进, 教授/博士，硕士生/博士生导师

安徽理工大学计算机科学与工程学院院长

联系信息:

安徽省淮南市泰丰大街168号, 安徽理工大学求本楼B408, 232001

Phone: +86-554-6633351 Fax: +86-554-6668973

E-mail: xjfang AT austc.edu.cn, xjfang AT aliyun.com

Short Biography

CCF杰出会员，中国网络空间安全学会（CCSS）理事，中国密码学会(CACR)会员，CCF教育专委会委员，安徽省计算机学会常务理事，安徽省计算机教育研究会常务理事。主要研究方向为网络与信息安全，主持该领域国家自然科学基金项目2项，安徽省重大科技专项项目1项。在软件学报，电子学报，通信学报，Computers & Security, Chinese Journal of Electronics, USENIX Security Symposium等发表学术论文109篇，获授权国家发明专利4项。.

Research Interests

Network and Information Security: 入侵检测系统, 隐私保护, 人工智能安全，Linux系统及安全

Intelligent Computing: 人工免疫计算

Courses

信息安全导论(Introduction to Information Security)(For undergraduates)

进入课程系统(秋季学期)

Network & Information Security(For graduates)

Spring 2022

信息安全法(For undergraduates)

Spring 2019, Spring 2020

现代密码学(For undergraduates)

Fall 2019 Fall 2018 Fall 2017, Fall 2016, Spring 2015, Spring 2014, Spring 2013, Spring 2012

计算机导论(For undergraduates)

Fall 2016, Fall 2015

计算机安全与密码学(For postgradutes)

Fall 2017, Fall 2016, Fall 2015

人工智能导论(For undergraduates)

Fall 2013

人工智能原理(For postgradutes)

Part1~Part4, 神经网络, 遗传算法, 模糊逻辑, 机器学习

机器学习(For Postgraduates)

Spring 2014

Linux操作系统与服务器管理(For Undergraduates)

Spring 2014

Linux开发基础(For Undergraduates)

part1:Shell编程, part2: GNU C/C++编程, 《GNU C/C++开发指南》, part3: Perl编程 (附:Perl源代码), Linux OS系统管理软件源代码

Speeches

研究生入学教育学术前沿讲座之一,2017（For Postgraduates） Mathematics for Computer Science

学术前沿讲座之一,2017（For Postgraduates）

Mathematics for Computer Science, Published by Google & MIT

Differential Privacy

Bot/Botnet及其检测技术

Computational Intelligence, Concepts to Implementations: part1, part2, part3

Artificial Immune Systems: A New Computational Intelligence Approach

Artificial Immune Systems: An Emerging Technology

An Introduction to Artificial Immune Systems

Introduction to Artificial Immune Systems (AIS)

信息安全概述 (An Overview of Information Security)

入侵检测技术研究进展 (Advance in Intrusion Detection Techniques)

自然计算机中的人工免疫算法 (Artificial Immune Algorithms in Nature-Inspired computation)

信息安全专业培养计划(Undergraduate Program for Specialty in Information Security)

信息安全专业介绍

Malware and Artificial Immune Systems

Fall 2017，学籍管理培训(PPT, for Freshmen) ,《安徽理工大学全日制本科学生学籍管理实施细则》，本科毕业设计、毕业实习动员

Publications

2023

Xu, K., Yang, G., Fang, X. et al. Facial depth forgery detection based on image gradient. Multimed Tools Appl (2023). https://doi.org/10.1007/s11042-023-14626-4

2022

Zhiwei Li, Xianjin Fang*, Gaoming Yang. Remove adversarial perturbations with linear and nonlinear image filters. Display, volume 73 (2022) 102143. https://www.sciencedirect.com/science/article/pii/S0141938221001402?dgcid=author.

H. Tu, G. Zhao, H. Xu and X. Fang. Tenant-Grained Request Scheduling in Software-Defined Cloud Computing. IEEE Transactions on Parallel and Distributed Systems, volume 73, No 12, pp. 4654-4671, 1 Dec. 2022, doi: 10.1109/TPDS.2022.3199031.

Yang, G., Wang, T., Fang, X. et al. RSFace: subject agnostic face swapping with expression high fidelity. Visual Computer (2022). https://doi.org/10.1007/s00371-022-02675-z.

Yang, G., Xu, K., Fang, X. et al. Video face forgery detection via facial motion-assisted capturing dense optical flow truncation. Visual Computer (2022). https://doi.org/10.1007/s00371-022-02683-z

2021

Zhifeng Xu, Xianjin Fang, Gaoming Yang. Malbert: A novel pre-training method for malware detection. Computers and Security, volume 2021, 111(2021). https://10.1016/j.cose.2021.102458.

Xianjin Fang & Zhiwei Li & Gaoming Yang. A novel approach to generating high-resolution adversarial examples. Applied Intelligence, https://doi.org/10.1007/s10489-021-02371-w.

余方超, 方贤进*, 张又文, 杨高明, 王丽. 增强深度学习中的差分隐私防御机制. 南京大学学报（自然科学）,Vol. 57, No. 1 Jan., 2021, pp: 10~20, https://DOI：10. 13232/j. cnki. jnju. 2021. 01. 002

2020

Fang, X., Zeng, Q. & Yang, G. Local differential privacy for human-centered computing. Journal on Wireless Communications and Networking, volume 2020, 65 (2020). https://doi.org/10.1186/s13638-020-01675-8.

F. Yu, L. Wang, X. Fang, and Z. Youwen, “The defense of adversarial example with conditional generation adversarial networks,” Security and Communication Networks, 2020.

G. Yang, X. Ye, X. Fang, R. Wu and L. Wang, "Associated Attribute-Aware Differentially Private Data Publishing via Microaggregation," in IEEE Access, vol. 8, pp. 79158-79168, 2020, doi: 10.1109/ACCESS.2020.2990296.

Fang, Xianjin; Zeng, Qingkui ; Yang, Gaoming, "Local Differential Privacy for Data Streams" in Proc. of 1st International Conference on Security and Privacy in Digital Economy, SPDE 2020, pp. 143-160, Nov, 2020.

2019

Fang, XJ ; Yu, FC ;Yang, GM ; Qu, YY . Regression Analysis With Differential Privacy Preserving. IEEE ACCESS, 卷:7,页:129353-129361.

Yang, Gaoming; Yu, Xu; Xu, Lingwei; Xin, Yu; Fang, Xianjin. An intrusion detection algorithm for sensor network based on normalized cut spectral clustering.PloS one, 卷:14 期:10 页:e0221920,DOI:10.1371/journal.pone.0221920

杨高明; 朱海明; 方贤进^*; 苏树智. 局部差分隐私约束的关联属性不变后随机响应扰动. 电子学报，2019, Vol. 47, No.5, pp:1079-1085.

Su, Shuzhi;Fang, Xianjin^*;Yang,Gaoming;Ge, Bin;Zhu, Yanmin. Self-balanced multi-view orthogonality correlation analysis for image feature learning. Infrared Physics and Technology,Vol.100(2019), pp:44-51.

Yang, Gaoming; Dong, Tao; Fang, Xianjin^*.Association Data Release with Randomized Response Based on Bayesian Networks．Int. J. of Computational Science and Engineering (IJCSE),Vol.20, No. 1, 2019, pp: 120-129.

杨高明;龚晨;方贤进^*;葛斌;苏树智. 面向频繁序列的局部差分隐私保护研究. 哈尔滨工程大学学报, 2019, vol. 40, No. 11, pp: 1903-1911.

杨高明,方贤进^*,肖亚飞．局部差分隐私约束的链接攻击保护．计算机科学与探索. 2019, 13(2),pp:251-262.

Peng, WangChun ; Wang, BaoNan ; Hu, Feng ; Wang, YunJiang ; Fang, XianJin ; Chen, XingYuan ; Wang, Chao. Factoring larger integers with fewer qubits via quantum annealing with optimized parameters. Science China: Physics, Mechanics and Astronomy, Volume: 62, Issue: 6, June 1, 2019, pp:060311-1:8

2018

陈家明; 王丽*; 肖亚飞; 方贤进. k-匿名机制下查询隐私的一种度量方法. 中国科学技术大学学报,(06),pp 512-518,2018.

2017

Ji J., Fang Xianjin*.,Chen D., Xiao Y., Wu Y. (2017) A Novel Grouping-Based WSN Clustering Data Transmission Protocol. In: Chen F., Luo Y. (eds) Industrial IoT Technologies and Applications. Industrial IoT 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 202, pp 152-162. Springer, Cham. (EI)

X. Fang and Y. Wu*, Investigation into the elliptic curve cryptography, 2017 3rd International Conference on Information Management (ICIM), Chengdu, 2017, pp. 412-415. doi: 10.1109/INFOMAN.2017.7950418. (EI)

Xianjin Fang, Gaoming Yang*, Yanting Wu. Research on the Underlying Method of Elliptic Curve Cryptography. Proc. of 2017 4th International Conference on Information Science and Control Engineering(ICISCE2017). July 21-23, 2017, Changsha, China, IEEE CS Press,pp:639-643, DOI 10.1109/ICISCE.2017.139. (EI)

方贤进，肖亚飞，杨高明. 大数据及其隐私保护. Big Data Research(大数据)，2017，3(5):45-56.

Projects

大数据全生命周期的隐私保护安全关键技术与系统研究(18030901025), 2018年安徽省科技重大专项, 201801~2020.12.31，项目主持

差分隐私高维数据发布理论与方法研究,国家自然科学基金(61572034),201601~201912, 项目主持

基于生物免疫学中危险理论的入侵检测研究,国家自然科学基金(61240023),201301~201312, 项目主持

基于树突细胞行为模型的僵尸程序检测方法研究,国家自然科学基金(61402012), 201501~201712,主要参与者

多媒体跨模态医学影像智能分析,安徽高校与人工智能研究院协同创新项目（GXXT-2021-006），202108-202308，项目主持

安徽理工大学芜湖研究院研发专项资金,职业健康医疗大数据融合技术与服务平台研发(ALW2021YF08), 2021-07至2023-08, 项目主持

Honors and Awards

“质量导向，过程管控、协同育人”计算机类研究生创新培养模式探索与实践，获研究生教育安徽省教学成果一等奖（2025yjsjxcgjydj048），排名第一。

高等学校信息安全专业综合改革研究与实践，获全国煤炭行业教学成果奖二等奖（GC202007205），排名第一。

教研论文“椭圆曲线加密教学中辅助软件的开发与应用”，获第九届信息安全与密码学教学研讨会会议论文特等奖，排名第一，2017年8月。