Ziqi Zhou

Orcid: 0009-0005-8661-535X

Affiliations:

Huazhong University of Science and Technology, Wuhan, China

According to our database¹, Ziqi Zhou authored at least 37 papers between 2022 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Towards Reliable Forgetting: A Survey on Machine Unlearning Verification.

[BibT_eX]

[DOI]

ACM Comput. Surv., September, 2026

Dual-branch Robust Unlearnable Examples.

[BibT_eX]

[DOI]

CoRR, May, 2026

Transferable Physical-World Adversarial Patches Against Object Detection in Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, April, 2026

Transferable Physical-World Adversarial Patches Against Pedestrian Detection Models.

[BibT_eX]

[DOI]

CoRR, April, 2026

UnlearnShield: Shielding Forgotten Privacy against Unlearning Inversion.

[BibT_eX]

[DOI]

CoRR, January, 2026

Erosion Attack for Adversarial Training to Enhance Semantic Segmentation Robustness.

[BibT_eX]

[DOI]

CoRR, January, 2026

2025

UFVideo: Towards Unified Fine-Grained Video Cooperative Understanding with Large Language Models.

[BibT_eX]

[DOI]

CoRR, December, 2025

SegTrans: Transferable Adversarial Examples for Segmentation Models.

[BibT_eX]

[DOI]

CoRR, October, 2025

Towards Real-World Deepfake Detection: A Diverse In-the-wild Dataset of Forgery Faces.

[BibT_eX]

[DOI]

CoRR, October, 2025

ADVEDM:Fine-grained Adversarial Attack against VLM-based Embodied Agents.

[BibT_eX]

[DOI]

CoRR, September, 2025

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

[BibT_eX]

[DOI]

CoRR, June, 2025

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

[BibT_eX]

[DOI]

CoRR, May, 2025

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

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2025

Vanish into Thin Air: Cross-prompt Universal Adversarial Attacks for SAM2.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

AdvEDM: Fine-grained Adversarial Attack against VLM-based Embodied Agents.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

MARS: A Malignity-Aware Backdoor Defense in Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

BadRobot: Jailbreaking Embodied LLM Agents in the Physical World.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

[BibT_eX]

[DOI]

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Test-Time Backdoor Detection for Object Detection Models.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Detecting and Corrupting Convolution-based Unlearnable Examples.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Security and Privacy, 2024

DarkSAM: Fooling Segment Anything Model to Segment Nothing.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Transferable Adversarial Facial Images for Privacy Protection.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Proceedings of the Computer Security - ESORICS 2024, 2024

2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

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

Downstream-agnostic Adversarial Examples.

[BibT_eX]

[DOI]

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

2022

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

[BibT_eX]

[DOI]

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

Ziqi Zhou

Timeline

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Bibliography

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