Ziqing Yang

Ziqing Yang

Second-year Ph.D. Student at CISPA Helmholtz Center for Information Security

Hello! This is Ziqing Yang, a second-year PhD 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

[August 2024] I joined the Program Committee of NeurIPS AFME 2024!

[August 2024] I became a reviewer of NeurIPS WiML Workshop 2024!

[August 2024] I joined the Program Committee of AAAI 2025!

[April 2024] I became a reviewer of ICML SPIGM Workshop 2024!

[May 2024] I became a reviewer of TKDD!

[April 2024] I became a reviewer of TOPS!

[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!

Publications

(*: Equal Contribution)

2024

  • SOS! Soft Prompt Attack Against Open-Source Large Language Models.
    Ziqing Yang, Michael Backes, Yang Zhang, Ahmed Salem. arXiv preprint arXiv:2407.03160, 2024.
    paper

  • 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

  • Comprehensive Assessment of Jailbreak Attacks Against LLMs.
    Junjie Chu, Yugeng Liu, Ziqing Yang, Xinyue Shen, Michael Backes, Yang Zhang. arXiv preprint arXiv:2402.05668, 2024.
    paper

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

Before 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

  • 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

  • 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 Assistant

Summer term 2024

Winter term 2023/2024

Sevices