張天威


張天威 博士

教授 碩導/博導

✉ 學校郵箱: tianwei.zhang@ntu.edu.sg

 

學歷 

2017 電子工程學博士,普林斯頓大學,美國

2013 電子工程學碩士,普林斯頓大學,美國

2007 物理學學士,北京大學,中國

 

現任

新加坡南洋理工大學計算機科學與工程學院 助理教授

 

曾任教科目

Compiler techniques

Computer Security

 

研究方向

系統安全、人工智能安全、機器人與無人車安全

 

研究及出版

Refereed Journal Articles

Jin, K., Zhang, T., Shen, C., Chen, Y., Fan, M., Lin, C., & Liu, T. (2022). Can We Mitigate Backdoor Attack Using Adversarial Detection Methods?. IEEE Transactions on Dependable and Secure Computing.

Lou, X., Guo, S., Li, J., & Zhang, T. (2022). Ownership Verification of DNN Architectures via Hardware Cache Side Channels. IEEE Transactions on Circuits and Systems for Video Technology.

Sun, J., Xu, G., Zhang, T., Alazab, M., & Deng, R. H. (2022). A Practical Fog-based Privacy-preserving Online Car-hailing Service System. IEEE Transactions on Information Forensics and Security.

Sun, J., Xu, G., Zhang, T., Cheng, X., Han, X., & Tang, M. (2022). Secure Data Sharing With Flexible Cross-Domain Authorization in Autonomous Vehicle Systems. IEEE Transactions on Intelligent Transportation Systems.

Qiu, H., Zeng, Y., Zheng, Q., Guo, S., Zhang, T., & Li, H. (2021). An efficient preprocessing-based approach to mitigate advanced adversarial attacks. IEEE Transactions on Computers.

 

International Conferences

Jiang, K., Bao, Y., Wang, S., Liu, Z., & Zhang, T., (2022). Cache Refinement Type for Side-channel Detection of Cryptographic Software. In 2022 ACM Conference on Computer and Communications Security (CCS 22).

Deng, G., Xu, G., Zhou, Y., Zhang, T., & Liu, Y., (2022). On the (In)Security of Secure ROS2. In 2022 ACM Conference on Computer and Communications Security (CCS 22).

Li, G., Xu, G., Qiu, H., He, R., Li, J., & Zhang, T., (2022). Improving Adversarial Robustness of 3D Point Cloud Classification Models. In 2022 European Conference on Computer Vision (ECCV 22)

Han, X., Xu, G., Zhou, Y., Yang, X., Li, J., & Zhang, T., (2022) Physical Backdoor Attacks to Lane Detection Systems in Autonomous Driving. In 2022 ACM International Conference on Multimedia (MM 22)

Hu, Q., Nori, H., Sun, P., Wen, Y., & Zhang, T. (2022). Primo: Practical Learning-Augmented Systems with Interpretable Models. In 2022 USENIX Annual Technical Conference (USENIX ATC 22) (pp. 519-538).

 

學術獎項

2022 Best paper award (International Conference on Data Intelligence and Security)

2021 Most Innovative Paper Award (IEEE International Symposium on Parallel and Distributed Processing with Applications)

2022 百度AI華人青年學者榜單

 

專業屬會 

2021至今 IEEE member

2021至今 ACM member


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