Yuan Xun

According to our database, Yuan Xun authored at least 16 papers between 2020 and 2026.

Collaborative distances:

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

2026

VFLGAN-TS: Vertical Federated Learning-based Generative Adversarial Networks for Publication of Vertically Partitioned Time-series Data.

Yuan Xun, Zilong Zhao, Jiayu Li, Prosanta Gope, Biplab Sikdar

ACM Trans. Priv. Secur., February, 2026

The Emotional Baby Is Truly Deadly: Does Your Multimodal Large Reasoning Model Have Emotional Flattery Towards Humans?

Yuan Xun, Xiaojun Jia, Xinwei Liu, Simeng Qin, Hua Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

GeoShield: Safeguarding Geolocation Privacy from Vision-Language Models via Adversarial Perturbations.

Xinwei Liu, Xiaojun Jia, Yuan Xun, Simeng Qin, Xiaochun Cao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

TeleAI-Safety: A comprehensive LLM jailbreaking benchmark towards attacks, defenses, and evaluations.

Xiuyuan Chen, Jian Zhao, Yuxiang He, Yuan Xun, Xinwei Liu, Yanshu Li, Huilin Zhou, Wei Cai, Ziyan Shi, Yuchen Yuan, Tianle Zhang, Chi Zhang, Xuelong Li

CoRR, December, 2025

The Emotional Baby Is Truly Deadly: Does your Multimodal Large Reasoning Model Have Emotional Flattery towards Humans?

Yuan Xun, Xiaojun Jia, Xinwei Liu, Hua Zhang

CoRR, August, 2025

Robust Anti-Backdoor Instruction Tuning in LVLMs.

Yuan Xun, Siyuan Liang, Xiaojun Jia, Xinwei Liu, Xiaochun Cao

CoRR, June, 2025

PersGuard: Preventing Malicious Personalization via Backdoor Attacks on Pre-trained Text-to-Image Diffusion Models.

Xinwei Liu, Xiaojun Jia, Yuan Xun, Hua Zhang, Xiaochun Cao

CoRR, February, 2025

CleanerCLIP: Fine-Grained Counterfactual Semantic Augmentation for Backdoor Defense in Contrastive Learning.

Yuan Xun, Siyuan Liang, Xiaojun Jia, Xinwei Liu, Jun Chen, Xiaochun Cao

IEEE Trans. Inf. Forensics Secur., 2025

2024

A Survey on Transferability of Adversarial Examples Across Deep Neural Networks.

Jindong Gu, Xiaojun Jia, Pau de Jorge, Wenqian Yu, Xinwei Liu, Avery Ma, Yuan Xun, Anjun Hu, Ashkan Khakzar, Zhijiang Li, Xiaochun Cao, Philip Torr

Trans. Mach. Learn. Res., 2024

Minimalism is King! High-Frequency Energy-Based Screening for Data-Efficient Backdoor Attacks.

Yuan Xun, Xiaojun Jia, Jindong Gu, Xinwei Liu, Qing Guo, Xiaochun Cao

IEEE Trans. Inf. Forensics Secur., 2024

CleanerCLIP: Fine-grained Counterfactual Semantic Augmentation for Backdoor Defense in Contrastive Learning.

Yuan Xun, Siyuan Liang, Xiaojun Jia, Xinwei Liu, Xiaochun Cao

CoRR, 2024

Unlearning Backdoor Threats: Enhancing Backdoor Defense in Multimodal Contrastive Learning via Local Token Unlearning.

Siyuan Liang, Kuanrong Liu, Jiajun Gong, Jiawei Liang, Yuan Xun, Ee-Chien Chang, Xiaochun Cao

CoRR, 2024

Multimodal Unlearnable Examples: Protecting Data against Multimodal Contrastive Learning.

Xinwei Liu, Xiaojun Jia, Yuan Xun, Siyuan Liang, Xiaochun Cao

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

Does Few-Shot Learning Suffer from Backdoor Attacks?

Xinwei Liu, Xiaojun Jia, Jindong Gu, Yuan Xun, Siyuan Liang, Xiaochun Cao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Universal Watermark Vaccine: Universal Adversarial Perturbations for Watermark Protection.

Jianbo Chen, Xinwei Liu, Siyuan Liang, Xiaojun Jia, Yuan Xun

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2020

A New Polarization Image Demosaicking Algorithm by Exploiting Inter-Channel Correlations With Guided Filtering.

ShuMin Liu, Jiajia Chen, Yuan Xun, Xiaojin Zhao, Chip-Hong Chang

IEEE Trans. Image Process., 2020