Ziqi Zhou

According to our database, Ziqi Zhou authored at least 23 papers between 2022 and 2025.

Collaborative distances:

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

2025

Towards Reliable Forgetting: A Survey on Machine Unlearning Verification, Challenges, and Future Directions.

Lulu Xue, Shengshan Hu, Wei Lu, Yan Shen, Dongxu Li, Peijin Guo, Ziqi Zhou, Minghui Li, Yanjun Zhang, Leo Yu Zhang

CoRR, June, 2025

Spa-VLM: Stealthy Poisoning Attacks on RAG-based VLM.

Lei Yu, Yechao Zhang, Ziqi Zhou, Yang Wu, Wei Wan, Minghui Li, Shengshan Hu, Pei Xiaobing, Jing Wang

CoRR, May, 2025

DarkHash: A Data-Free Backdoor Attack Against Deep Hashing.

Ziqi Zhou, Menghao Deng, Yufei Song, Hangtao Zhang, Wei Wan, Shengshan Hu, Minghui Li, Leo Yu Zhang, Dezhong Yao

IEEE Trans. Inf. Forensics Secur., 2025

BadRobot: Jailbreaking Embodied LLM Agents in the Physical World.

Hangtao Zhang, Chenyu Zhu, Xianlong Wang, Ziqi Zhou, Changgan Yin, Minghui Li, Lulu Xue, Yichen Wang, Shengshan Hu, Aishan Liu, Peijin Guo, Leo Yu Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

PB-UAP: Hybride Universal Adversarial Attack for Image Segmentation.

Yufei Song, Ziqi Zhou, Minghui Li, Xianlong Wang, Hangtao Zhang, Menghao Deng, Wei Wan, Shengshan Hu, Leo Yu Zhang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Test-Time Backdoor Detection for Object Detection Models.

Hangtao Zhang, Yichen Wang, Shihui Yan, Chenyu Zhu, Ziqi Zhou, Linshan Hou, Shengshan Hu, Minghui Li, Yanjun Zhang, Leo Yu Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature.

Yichen Wang, Yuxuan Chou, Ziqi Zhou, Hangtao Zhang, Wei Wan, Shengshan Hu, Minghui Li

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Detecting and Corrupting Convolution-based Unlearnable Examples.

Minghui Li, Xianlong Wang, Zhifei Yu, Shengshan Hu, Ziqi Zhou, Longling Zhang, Leo Yu Zhang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors.

Ziqi Zhou, Bowen Li, Yufei Song, Zhifei Yu, Shengshan Hu, Wei Wan, Leo Yu Zhang, Dezhong Yao, Hai Jin

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

PB-UAP: Hybrid Universal Adversarial Attack For Image Segmentation.

Yufei Song, Ziqi Zhou, Minghui Li, Xianlong Wang, Menghao Deng, Wei Wan, Shengshan Hu, Leo Yu Zhang

CoRR, 2024

TrojanRobot: Backdoor Attacks Against Robotic Manipulation in the Physical World.

Xianlong Wang, Hewen Pan, Hangtao Zhang, Minghui Li, Shengshan Hu, Ziqi Zhou, Lulu Xue, Peijin Guo, Yichen Wang, Wei Wan, Aishan Liu, Leo Yu Zhang

CoRR, 2024

BadRobot: Jailbreaking LLM-based Embodied AI in the Physical World.

Hangtao Zhang, Chenyu Zhu, Xianlong Wang, Ziqi Zhou, Shengshan Hu, Leo Yu Zhang

CoRR, 2024

Detector Collapse: Backdooring Object Detection to Catastrophic Overload or Blindness.

Hangtao Zhang, Shengshan Hu, Yichen Wang, Leo Yu Zhang, Ziqi Zhou, Xianlong Wang, Yanjun Zhang, Chao Chen

CoRR, 2024

Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples.

Ziqi Zhou, Minghui Li, Wei Liu, Shengshan Hu, Yechao Zhang, Wei Wan, Lulu Xue, Leo Yu Zhang, Dezhong Yao, Hai Jin

Proceedings of the IEEE Symposium on Security and Privacy, 2024

DarkSAM: Fooling Segment Anything Model to Segment Nothing.

Ziqi Zhou, Yufei Song, Minghui Li, Shengshan Hu, Xianlong Wang, Leo Yu Zhang, Dezhong Yao, Hai Jin

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need.

Xianlong Wang, Minghui Li, Wei Liu, Hangtao Zhang, Shengshan Hu, Yechao Zhang, Ziqi Zhou, Hai Jin

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Transferable Adversarial Facial Images for Privacy Protection.

Minghui Li, Jiangxiong Wang, Hao Zhang, Ziqi Zhou, Shengshan Hu, Xiaobing Pei

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Detector Collapse: Backdooring Object Detection to Catastrophic Overload or Blindness in the Physical World.

Hangtao Zhang, Shengshan Hu, Yichen Wang, Leo Yu Zhang, Ziqi Zhou, Xianlong Wang, Yanjun Zhang, Chao Chen

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

ECLIPSE: Expunging Clean-Label Indiscriminate Poisons via Sparse Diffusion Purification.

Xianlong Wang, Shengshan Hu, Yechao Zhang, Ziqi Zhou, Leo Yu Zhang, Peng Xu, Wei Wan, Hai Jin

Proceedings of the Computer Security - ESORICS 2024, 2024

2023

Corrupting Convolution-based Unlearnable Datasets with Pixel-based Image Transformations.

Xianlong Wang, Shengshan Hu, Minghui Li, Zhifei Yu, Ziqi Zhou, Leo Yu Zhang, Hai Jin

CoRR, 2023

AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive Learning.

Ziqi Zhou, Shengshan Hu, Minghui Li, Hangtao Zhang, Yechao Zhang, Hai Jin

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Downstream-agnostic Adversarial Examples.

Ziqi Zhou, Shengshan Hu, Ruizhi Zhao, Qian Wang, Leo Yu Zhang, Junhui Hou, Hai Jin

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean Label.

Shengshan Hu, Ziqi Zhou, Yechao Zhang, Leo Yu Zhang, Yifeng Zheng, Yuanyuan He, Hai Jin

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022