一、个人简历：

杨高明，男，博士，教授，博士生导师，阿肯色大学访问学者，2012年博士毕业于哈尔滨工程大学。主要研究方向是数据安全与隐私保护、深度伪造检测、计算机视觉、机器学习等。承担课程有机器学习、数字图像处理、人工智能、数据科学与工程、数据库系统概论、计算机网络等。共参与国家自然科学基金三项，高校博士点基金一项，安徽省重大科技专项一项，省自然科学基金两项；主持省自然科学基金一项、省教育厅自然科学基金重点项目两项，省级开放基金两项、国家级国外高端人才项目一项、省级国外人才项目一项。在电子学报、哈尔滨工程大学学报、Computers & Security、Applied Intelligence、Image and Vision Computing、The Visual Computer等学术期刊和国际会议上发表文章数六十余篇，其中三十余篇被SCI/EI/检索。担任Transactions on Information Forensics & Security，Information Science等期刊审稿人。

二、承担的科研课题及研究成果：

1. 科技部高端境外人才项目，G2021019006L，基于机器学习的对抗攻击和防御研究，2021.01-2022.12，主持

2. 安徽省自然科学基金，2008085MF220，具备隐私保护的合成数据生成方法与理论研究，2020/07-2023/06，主持

3. 安徽省引进境外人才项目，S202034006，复杂大型图数据子图模式挖掘及在新冠肺炎领域的应用，2020.01-2020.12，主持

4. 安徽省高校自然科学基金，KJ2019A0109，敏感数据的局部差分隐私保护研究，2019/01- 2020/12，主持

5.安徽省科技重大专项，18030901025，大数据全生命周期的隐私保护安全关键技术与系统研究，2019/01-2021/12，参与

6. 国家自然科学基金面上项目，61572034，差分隐私高维数据发布理论与方法研究，2016/01-2019/12，参与

7.安徽省高校优秀中青年骨干人才国内外访学研修重点项目，gxfxZD20160 82，2016年，国外访问学者，主持

8.安徽省高校自然科学基金重点项目，KJ2014A061，基于谱聚类的流式大数据隐私保护研究，主持

9.安徽省博士后基金项目，2014B021，面向大数据的隐私保护数据发布研究，2015/01-2016/12，主持

10.中国民航信息技术科研基地开放基金课题, CAAC-ITRB-201404,基于函数依赖的民航大数据共享与隐私保护研究, 2015/10-2016/10，主持

11.教育部博士点基金项目，20122304110012，基于平均场理论的语义社会网络话题发现、搜索和溯源技术研究，参与

12.国家自然科学基金面上项目，61073043，面向数据流的双重隐私保护技术研究，2011/01-2013/12，参与

三、发表论文、论著：

1. Yifeng Ding, Gaoming Yang, Ji Zhang, Xianjin Fang, Shuting Yin, Wencheng Yang. Generous Teacher: Good at Distilling Knowledge for Student Learning, Image and Vision Computing, 2024, vol.150 (105199).

2. Gaoming Yang, Yifeng Ding, Xianjin Fang, Ji Zhang, Yan Chu. Fast face swapping with high-fidelity lightweight generator assisted by online knowledge distillation, The Visual Computer, 2024, (In Press, https://doi.org/10.1007/s00371-024-03414-2)

3. Gaoming Yang, Changgeng Li, Ji Zhang. ConIS: Controllable Text-Driven Image Stylization with Semantic Intensity, Multimedia Systems, 2024, vol. 30(174)

4. Gaoming Yang, Shicheng Zhang, Xianjin Fang, Ji Zhang. Pyramid style-attentional network for arbitrary style transfer, Multimedia Tools and Applications, 2024, 83(5): 13483–13502.

5. Gaoming Yang, Anxing Wei, Xianjin Fang, Ji Zhang. FDS_2D: rethinking magnitude-phase features for DeepFake detection, Multimedia Systems, 2023, 29(4), 2399-2413。

6. Kun Xu, Gaoming Yang*, Xianjin Fang, Ji Zhang. Facial depth forgery detection based on image gradient, Multimedia Tools and Applications, 2023, 82(19): 29501-29525.

7. Gaoming Yang, Tao Wang, Xianjin Fang, Ji Zhang. RSFace: Subject agnostic face swapping with expression high fidelity, The Visual Computer, 2023, 39(11): 5497-5511 (SCI)

8. Gaoming Yang, Kun Xu, Xianjin Fang, Ji Zhang. Video face forgery detection via facial motion-assisted capturing dense optical flow truncation, The Visual Computer, 2023, 39(11): 5589-560.

9. Gaoming Yang, Yuanjin Qu, Xianjin Fang. Editable Image Generation with Consistent Unsupervised Disentanglement Based on GAN, Applied Sciences, 2022, 12(11), Article Number 5382.

10. Xianjin Fang, Zhiwei Li, Gaoming Yang*. A novel approach to generating high-resolution adversarial examples, Applied Intelligence, 2022, 52(2): 1289-1305, https://doi.org/10.1007/s10489-021-02371-w.

11. Zhiwei Li, Xianjin Fang, Gaoming Yang. Remove adversarial perturbations with linear and nonlinear image filters, Displays, 2022, 73, July 2022, Article Number102143.

12. Wenbin Shi, Xianjin Fang, Gaoming Yang*. Human activity recognition based on multichannel convolutional neural network with data augmentation, IEEE Access, 2022, Vol. 10: 76596-76606.

13. Yu Zhang, Huaping Zhou, Pengyan Wang, Gaoming Yang. Black-box based limited query membership inference attack, IEEE Access, 2022, Vol. 10: 55459-55468.

14. Yu Zhang, Huan Xu, Chengfei Pei and Gaoming Yang. Adversarial example defense based on image reconstruction, PeerJ Computer Science, 2021.

15. Zhifeng Xu, Xianjin Fang, Gaoming Yang. Malbert: A novel pre-training method for malware detection, Computers & Security, December 2021, Volume 111, 102458

16. Gaoming Yang, Mingwei Li, Xianjing Fang, Ji Zhang, Xingzhu Liang. Generating adversarial examples without specifying a target model, PeerJ Computer Science, 2021, (In Press, SCI)

17. Xianjin Fang, Zhiwei Li, Gaoming Yang. A Novel Approach to Generating High-Resolution Adversarial Examples, Applied Intelligence, 2021, https://doi.org/10.1007/s10489-021-02371-w. (SCI)

18. 叶欣欣, 杨高明, 方贤进, 施雨. 基于SOM网络的差分隐私保护研究, 计算机应用研究, 2021, 38(4): 1195-1198.

19. 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). 2021, 57(01): 10-20

20. Gaoming Yang, Xinxin Ye, Xianjin Fang, Rongshi Wu, Li Wang, Associated attribute-aware differentially private data publishing via microaggregation, IEEE Access, 2020, 8(1): 79158-79168

21. Xianjin Fang, Qingkui Zeng, Gaoming Yang, Local differential privacy for data streams, 2020, International Conference on Security and Privacy in Digital Economy, pp143-160.

22. Xianjin Fang, Qingkui Zeng, Gaoming Yang, Local differential privacy for human-centered computing, EURASIP Journal on Wireless Communications and Networking, 2020, Paper ID: 65

23. Shuzhi Su, Xianjin Fang, Gaoming Yang, Bin Ge, Ping Zheng, Clustering adaptive canonical correlations for high-dimensional multi-modal data, Journal of Visual Communication and Image Representation, 2020, Vol. 71.

24. 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，2019，47(5)：1079-1085

25. 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，2019，40(11): 891-898.

26. Gaoming Yang, Tao Dong, Xianjing Fang, Shuzhi Su. Association data release with randomized response based on Bayesian networks, International Journal of Computational Science and Engineering, 2019, 20(1): 120-129

27. 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)：251-262

28. Xianjin Fang, Fangchao Yu,Gaoming Yang, Yonyang Qu, Regression analysis with differential privacy preserving, IEEE Access, 2019, 7(1): 129353-129361, DOI: 10.1109/ACCESS.2019.2940714.

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

30. Gaoming Yang, Xu Yu, Wenlin Liu, Yu Xin, Xiangjin Fang, An intrusion detection algorithm for sensor network based on normalized cut spectral clustering, PLOS ONE, 2019, Doi: 10.1371/journal.pone.0221920.

31. Yushan Zhao, Gaoming Yang*, Xianjin Fang, Bin Ge, Preventing Privacy Disclosure from Hostility Attack Base on Associated attributes, 2019 International Conference of Applications and Techniques in Cyber Intelligence (ATCI2019), June 22-24, 2019, Anhui Huainan, China: 1315- 1325.

32. Xingzhu Liang, Yu’E Lin, Gaoming Yang, Guangyu Xu, Null space diversity fisher discriminant analysis for face recognition, Advances in Intelligent Systems and Computing, 2017, 541: 216-321

33. 花凌锋，杨高明*，王修君，面向位置的多样性兴趣新闻推荐研究，数据分析与知识发现，2018，2(5): 94-104

34. 方贤进，肖亚飞，杨高明，大数据及其隐私保护，大数据，2017, 3(6): 45-56

35. 谭大禹,李敬兆,杨大禹,李子豪,杨高明.车载自组网信息交互最大流传输优化策略[J].计算机工程, 2017, 43(05): 8-15+22.

36. 杨高明*，方贤进，陆奎，王静，面向函数依赖的隐私保护研究，计算机工程与科学，2015，37(11): 2154-2161

37. Gaoming Yang*，Jingzhao Li，Shunxiang Zhang，Guangli Zhu，Achievingk-Anonymity Base on Nearest Neighbor Search，Journal of Information and Computational Science，2013，10(12): 3971-3979

38. 杨高明*，李敬兆，杨静，朱广丽，(k, l)-多样性数据发布研究，计算机科学，2013，40(8): 140-145

39. 杨高明*，杨静，张健沛，半监督聚类的匿名数据发布，哈尔滨工程大学学报，2011，32(11): 1489-1494

40. 杨高明*，杨静，张健沛，聚类的(α,k)-匿名数据发布，电子学报，2011，39(8): 1941-1946

41. 杨高明*，杨静，张健沛，隐私保护的数据发布研究，计算机科学，2011，38(9): 11-17

42. Jing Yang，Gaoming Yang*，Jianpei Zhang，Outliers eliminating for enhancing data utility in data publishing，Journal of Computational information Systems，2011，7(12): 552-559

43. Xianjin Fang,Gaoming Yang*, Yanting Wu, Research on the Underlying Method of Elliptic Curve Cryptography, 2017 4th International Conference on Information Science and Control Engineering (ICISCE), 2017.11.16-18

44. Gaoming Yang*，Jingzhao Li，Shunxiang Zhang，Li Yu，An Enhancedl-Diversity Privacy Preserving，Proceeding of the 2013 10th International Conference on Fuzzy Systems and Knowledge Discovery, Shengyang, P.R. China, 2013.7.3-7.4

45. Gaoming Yang*，Jing Yang，Jianpei Zhang，Research on data streams publishing of privacy preserving，2010 IEEE International Conference on Information Theory and Information Security, Beijing, P.R. China, 2010.12.22–24

四、发表发明专利：

1. 杨高明; 常昊乾; 方贤进; 李明炜; 一种基于自编码器的恶意图像查询样本检测过滤方法, 2022-09-27, 中国, ZL 2021 1 0621344.4

2. 杨高明, 李明炜, 方贤进, 常昊乾. 一种基于生成模型的对抗样本生成方法，2023-10-20, 专利号：ZL 2021 1 0621339.3

3. 杨高明,丁一峰,庾晨龙,张吉,方贤进. 一种高保真轻量级人脸交换方法, 申请号：202311748155.9, 2024-05-31，实质审查

4. 杨高明,庾晨龙,丁一峰,张吉,方贤进.一种基于轻量级 Vision Transformer 网络的图像风格迁移方法, 申请号：202410236805.X,2024-07-02，实质审查

五、联系方式：

通讯地址：安徽省淮南市泰丰大街168号安徽理工大学计算机科学与工程学院，232001

电子信箱：gmyang@aust.edu.cn