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.

My main focus is on the security and privacy issues of AI systems. I'm also interested in the applications of AI techniques to security problems such as binary analysis.

➙ I'm looking for self-motivated Ph.D./master/undergraduate students. Please email me your CV.

Selected Publications

BINALIGNER: Aligning Binary Code for Cross-Architecture Diffing
Yiran Zhu, Tong Tang, Jie Wan, Ziqi Yang*, Zhenguang Liu, Lorenzo Cavallaro
In Proceedings of the 33rd Annual Network and Distributed System Security Symposium (NDSS 2026) * Corresponding Author
Effectiveness of Distillation Attack and Countermeasure on Neural Network Watermarking
Ziqi Yang*, Tong Tang, Hung Dang, Zhengyang Wu, Ee-Chien Chang
IEEE Transactions on Dependable and Secure Computing (TDSC 2025) * Corresponding Author
BTUAP: Boosting the Transferability of Universal Adversarial Perturbations in the Black-box Setting under various data dependencies
Jie Wan, Jianhao Fu, Ziqi Yang*, Kui Ren
In Proceedings of the 33rd ACM International Conference on Multimedia (ACM MM 2025) * Corresponding Author
On the Lack of Robustness of Binary Function Similarity Systems
Gianluca Capozzi, Tong Tang, Jie Wan, Ziqi Yang*, Daniele Cono D’Elia, Giuseppe Antonio Di Luna, Lorenzo Cavallaro, Leonardo Querzoni
In Proceedings of the 10th IEEE European Symposium on Security and Privacy (EuroS&P 2025) * Corresponding Author
Defending Data Inference Attacks Against Machine Learning Models by Mitigating Prediction Distinguishability
Ziqi Yang, Yiran Zhu, Jie Wan, ChuXiao Xiang, Tong Tang, Yilin Wang, Ruite Xu, Lijin Wang, Fan Zhang, Jiarong Xu, Zhan Qin
IEEE Transactions on Dependable and Secure Computing (TDSC 2024)
MaskDroid: Robust Android Malware Detection with Masked Graph Representations
Jingnan Zheng, Jiahao Liu, An Zhang, Jun Zeng, Ziqi Yang, Zhenkai Liang, and Tat-Seng Chua
In Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering (ASE 2024)
Joint-Motion Mutual Learning for Pose Estimation in Video
Sifan Wu, Haipeng Chen, Yifang Yin, Sihao Hu, Runyang Feng, Yingying Jiao, Ziqi Yang, Zhenguang Liu
In Proceedings of the 32nd ACM International Conference on Multimedia (MM 2024)
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)
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
APIBeh: Learning Behavior Inclination of APIs for Malware Classification
Lei Cui, Yiran Zhu, Junnan Yin, Zhiyu Hao, Wei Wang, Peng Liu, Ziqi Yang, Xiaochun Yun
In Proceedings of 2024 IEEE 35th International Symposium on Software Reliability Engineering (ISSRE 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)
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)
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)
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.

Teaching

Fall 2022, Fall 2023, Spring 2024, Spring 2025

Spring 2022, Spring 2023, Spring 2024, Spring 2025

Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025

Fall 2020

Services

Program Committee Member
IEEE Symposium on Security and Privacy (S&P) 2025, 2026
Association for the Advancement of Artificial Intelligence (AAAI) 2023, 2024, 2026
ACM Multimedia (MM) 2025
Annual Conference on Neural Information Processing Systems (NeurIPS) 2025
IEEE Conference on Secure and Trustworthy Machine Learning (SatML) 2025, 2026
IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)2024, 2025
ACM Workshop on Artificial Intelligence and Security (AISec) 2023, 2024, 2025
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