Ziqi Yang's Home Page

Ziqi Yang

Assistant Professor
School of Cyber Science and Technology
College of Computer Science and Technology
Zhejiang University

Email: yangziqi at zju dot edu dot cn

ZJU Homepage (in Chinese)

Biography

I am an Assistant Professor (ZJU100 Young Professor), with both the School of Cyber Science and Technology and the College of Computer Science and Technology at Zhejiang University, China. Prior to Zhejiang University, I was a Research Fellow at National University of Singapore. I received a Ph.D degree at the School of Computing, National University of Singapore, working with Prof. LIANG Zhenkai, and a B.E. degree in Information Security from Huazhong University of Science and Technology.

I'm interested in cybersecurity and machine learning with a recent focus on the intersections between security, privacy, and machine learning.

➙ I'm looking for self-motivated Postdoc/Ph.D./master/undergraduate students who are interested in machine learning and/or security. Please email me your CV.

Selected Publications

Unveiling Privacy Vulnerabilities: Investigating the Role of Structure in Graph Data
Hanyang Yuan, Jiarong Xu, Cong Wang, Ziqi Yang, Chunping Wang, Keting Yin, Yang Yang
In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024)
Property Existence Inference against Generative Models
Lijin Wang, Jingjing Wang, Jie Wan, Lin Long, Ziqi Yang*, Zhan Qin
In Proceedings of the 33rd USENIX Security Symposium (USENIX Security 2024) * Corresponding Author
Towards Fair Graph Federated Learning via Incentive Mechanisms
Chenglu Pan, Jiarong Xu, Yue Yu, Ziqi Yang, Qingbiao Wu, Chunping Wang, Lei Chen, Yang Yang
In Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI 2024)
Securing Web Inputs using Parallel Session Attachments
Ziqi Yang, Ruite Xu, Qixiao Lin, Shikun Wu, Jian Mao, Zhenkai Liang
In Proceedings of the 19th EAI International Conference on Security and Privacy in Communication Networks (SecureComm 2023)
BounceAttack: A Query-Efficient Decision-based Adversarial Attack by Bouncing into the Wild
Jie Wan, Jianhao Fu, Lijin Wang, Ziqi Yang*
In Proceedings of 2024 IEEE Symposium on Security and Privacy (IEEE S&P 2024) * Corresponding Author
Purifier: Defending Data Inference Attacks via Transforming Confidence Scores
Ziqi Yang, Lijin Wang, Da Yang, Jie Wan, Ziming Zhao, Ee-Chien Chang, Fan Zhang, Kui Ren
In Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023)
SAGE: Steering the Adversarial Generation of Examples with Accelerations
Ziming Zhao, Zhaoxuan Li, Fan Zhang, Ziqi Yang, Shuang Luo, Tingting Li, Rui Zhang, Kui Ren
IEEE Transactions on Information Forensics and Security (TIFS 2022)
MsDroid: Identifying Malicious Snippets for Android Malware Detection
Yiling He, Yiping Liu, Lei Wu, Ziqi Yang, Kui Ren, Zhan Qin
IEEE Transactions on Dependable and Secure Computing (TDSC 2022)
From Homogeneous to Heterogeneous: Leveraging Deep Learning based Power Analysis across Devices
Fan Zhang, Bin Shao, Guorui Xu, Bolin Yang, Ziqi Yang*, Zhan Qin, and Kui Ren.
In Proceedings of the 57th Annual Design Automation Conference 2020 (DAC 2020) * Corresponding Author
Neural Network Inversion in Adversarial Setting via Background Knowledge Alignment
Ziqi Yang, Jiyi Zhang, Ee-Chien Chang, and Zhenkai Liang.
In Proceedings of the 26th ACM Conference on Computer and Communications Security (CCS 2019) [PDF] [Code]
Fidelity: Towards Measuring the Trustworthiness of Neural Network Classification
Ziqi Yang
In Proceedings of the 2019 IEEE Conference on Dependable and Secure Computing (IDSC 2019)
Fidelity: A Property of Deep Neural Networks to Measure the Trustworthiness of Prediction Results
Ziqi Yang
In Proceedings of the 2019 ACM Asia Conference on Computer and Communications Security (Asia CCS 2019) [PDF]
Effectiveness of Distillation Attack and Countermeasure on Neural Network Watermarking
Ziqi Yang, Hung Dang, Ee-Chien Chang, and Zhenkai Liang.
arXiv preprint arXiv:1906.06046, 2019 [PDF]
Automated Identification of Sensitive Data via Flexible User Requirements
Ziqi Yang, Zhenkai Liang.
In the Proceedings of the 14th EAI International Conference on Security and Privacy in Communication Networks (SecureComm 2018).
Automated Identification of Sensitive Data from Implicit User Specification
Ziqi Yang, Zhenkai Liang.
Cybersecurity, 1(1), 13. [PDF]

Teaching

Fall 2022, Fall 2023, Spring 2024

Spring 2022, Spring 2023, Spring 2024

Spring 2021, Spring 2022, Spring 2023, Spring 2024

Fall 2020

Services

Program Committee Member
IEEE Symposium on Security and Privacy (S&P) 2025
Association for the Advancement of Artificial Intelligence (AAAI) 2023, 2024
ACM Workshop on Artificial Intelligence and Security (AISec) 2023, 2024
Deep Learning and Security Workshop (DLS) 2021, 2022, 2023, 2024
International Workshop on Federated Learning with Graph Data (FedGraph) 2023
International Conference on Network and System Security (NSS)2020
International Workshop on Security Proofs for Embedded Systems (PROOFS) 2020
Journal Reviewer
IEEE Transactions on Dependable and Secure Computing (TDSC)
IEEE Transactions on Information Forensics and Security (TIFS)
IEEE Transactions on Computers (TC)
ACM Transactions on Privacy and Security (TOPS)
ACM Computing Surveys