Hello! This is Ziqing Yang, a second-year Ph.D. student at CISPA Helmholtz Center for Information Security, co-advised by Prof. Michael Backes and Dr. Yang Zhang. Before that, I obtained my Bachelor’s degree from Peking University, advised by Prof. Ming Zhang.

Research Interest

  • Trustworthy machine learning (safety, privacy, and security)
  • Generative models
  • Graph analysis

What’s New

[November 2023] I became a reviewer of TKDD!

[September 2023] Our paper named SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models was accepted by USENIX Security 2024!

[August 2023] I joined the Program Committee of AAAI 2024!

[May 2023] I became a reviewer of NLPCC 2023!

[May 2022] Our paper named Data Poisoning Attacks Against Multimodal Encoders was accepted by ICML 2023!

[October 2022] I have successfully passed the Qualifying Exam!

[August 2022] I joined the Program Committee of AAAI 2023!

[August 2022] I became a reviewer of CSAE 2022!

[May 2022] I became a reviewer of NLPCC 2022!

[October 2021] I joined CISPA to start my Ph.D. (preparatory phase)!

Publications

(*: Equal Contribution)

2024

  • SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models. Boyang Zhang, Zheng Li, Ziqing Yang, Xinlei He, Michael Backes, Mario Fritz, Yang Zhang. In Proceedings of the 33rd USENIX Security Symposium (USENIX Security 24), 2024. paper code

2023

  • Data Poisoning Attacks Against Multimodal Encoders. Ziqing Yang, Xinlei He, Zheng Li, Michael Backes, Mathias Humbert, Pascal Berrang, and Yang Zhang. In Proceedings of the 2023 International Conference on Machine Learning (ICML 2023), 2023. paper code

  • From Visual Prompt Learning to Zero-Shot Transfer: Mapping Is All You Need. Ziqing Yang*, Zheyang Sha*, Michael Backes, Yang Zhang. arXiv preprint arXiv:2303.05266, 2023. paper

2021

  • UniKER: A Unified Framework for Combining Embedding and Definite Horn Rule Reasoning for Knowledge Graph Inference. Kewei Cheng, Ziqing Yang, Ming Zhang, and Yizhou Sun. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), 2021. paper

2020

  • UniKER: A Unified Framework for Combining Embedding and Horn Rules for Knowledge Graph Inference. Kewei Cheng, Ziqing Yang, Ming Zhang, and Yizhou Sun. In Proceedings of the Graph Representation Learning and Beyond Workshop (ICML GRL+ 2020), 2020. paper

2019

  • Explainable knowledge graph-based recommendation via deep reinforcement learning[J]. Weiping Song, Zhijian Duan, Ziqing Yang, Hao Zhu, Ming Zhang, and Jian Tang. arXiv preprint arXiv:1906.09506, 2019. paper

Teaching

Sevices