Ziqing Yang

According to our database, Ziqing Yang authored at least 12 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Hate in Plain Sight: On the Risks of Moderating AI-Generated Hateful Illusions.

Yiting Qu, Ziqing Yang, Yihan Ma, Michael Backes, Savvas Zannettou, Yang Zhang

CoRR, July, 2025

The Challenge of Identifying the Origin of Black-Box Large Language Models.

Ziqing Yang, Yixin Wu, Yun Shen, Wei Dai, Michael Backes, Yang Zhang

CoRR, March, 2025

Peering Behind the Shield: Guardrail Identification in Large Language Models.

Ziqing Yang, Yixin Wu, Rui Wen, Michael Backes, Yang Zhang

CoRR, February, 2025

Synthetic Artifact Auditing: Tracing LLM-Generated Synthetic Data Usage in Downstream Applications.

Yixin Wu, Ziqing Yang, Yun Shen, Michael Backes, Yang Zhang

CoRR, February, 2025

JailbreakRadar: Comprehensive Assessment of Jailbreak Attacks Against LLMs.

Junjie Chu, Yugeng Liu, Ziqing Yang, Xinyue Shen, Michael Backes, Yang Zhang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

SOS! Soft Prompt Attack Against Open-Source Large Language Models.

Ziqing Yang, Michael Backes, Yang Zhang, Ahmed Salem

CoRR, 2024

Comprehensive Assessment of Jailbreak Attacks Against LLMs.

Junjie Chu, Yugeng Liu, Ziqing Yang, Xinyue Shen, Michael Backes, Yang Zhang

CoRR, 2024

SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models.

Boyang Zhang, Zheng Li, Ziqing Yang, Xinlei He, Michael Backes, Mario Fritz, Yang Zhang

Proceedings of the 33rd USENIX Security Symposium, 2024

2023

From Visual Prompt Learning to Zero-Shot Transfer: Mapping Is All You Need.

Ziqing Yang, Zeyang Sha, Michael Backes, Yang Zhang

CoRR, 2023

Data Poisoning Attacks Against Multimodal Encoders.

Ziqing Yang, Xinlei He, Zheng Li, Michael Backes, Mathias Humbert, Pascal Berrang, Yang Zhang

Proceedings of the International Conference on Machine Learning, 2023

2021

UniKER: A Unified Framework for Combining Embedding and Definite Horn Rule Reasoning for Knowledge Graph Inference.

Kewei Cheng, Ziqing Yang, Ming Zhang, Yizhou Sun

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2019

Explainable Knowledge Graph-based Recommendation via Deep Reinforcement Learning.

Weiping Song, Zhijian Duan, Ziqing Yang, Hao Zhu, Ming Zhang, Jian Tang

CoRR, 2019