Kunsheng Tang

According to our database, Kunsheng Tang authored at least 10 papers between 2022 and 2026.

Collaborative distances:

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

2026

VLMShield: Efficient and Robust Defense of Vision-Language Models against Malicious Prompts.

Peigui Qi, Kunsheng Tang, Yanpu Yu, Jialin Wu, Yide Song, Wenbo Zhou, Zhicong Huang, Cheng Hong, Weiming Zhang, Nenghai Yu

CoRR, April, 2026

Revis: Sparse Latent Steering to Mitigate Object Hallucination in Large Vision-Language Models.

Jialin Wu, Wei Shi, Han Shen, Peigui Qi, Kunsheng Tang, Zhicong Huang, Binghao Wang, Zhou Yang

CoRR, February, 2026

2025

PoseGuard: Pose-Guided Generation with Safety Guardrails.

Kongxin Wang, Jie Zhang, Peigui Qi, Kunsheng Tang, Tianwei Zhang, Wenbo Zhou

CoRR, August, 2025

SafeGuider: Robust and Practical Content Safety Control for Text-to-Image Models.

Peigui Qi, Kunsheng Tang, Wenbo Zhou, Weiming Zhang, Nenghai Yu, Tianwei Zhang, Qing Guo, Jie Zhang

Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security, 2025

FinRipple: Aligning Large Language Models with Financial Market for Event Ripple Effect Awareness.

Yuanjian Xu, Jianing Hao, Kunsheng Tang, Jingnan Chen, Anxian Liu, Peng Liu, Guang Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

GenderCARE: A Comprehensive Framework for Assessing and Reducing Gender Bias in Large Language Models.

Kunsheng Tang, Wenbo Zhou, Jie Zhang, Aishan Liu, Gelei Deng, Shuai Li, Peigui Qi, Weiming Zhang, Tianwei Zhang, Nenghai Yu

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023

Reconciling privacy and utility: an unscented Kalman filter-based framework for differentially private machine learning.

Kunsheng Tang, Ping Li, Yide Song, Tian Luo

Mach. Learn., January, 2023

Control Risk for Potential Misuse of Artificial Intelligence in Science.

Jiyan He, Weitao Feng, Yaosen Min, Jingwei Yi, Kunsheng Tang, Shuai Li, Jie Zhang, Kejiang Chen, Wenbo Zhou, Xing Xie, Weiming Zhang, Nenghai Yu, Shuxin Zheng

CoRR, 2023

FunctionMarker: Watermarking Language Datasets via Knowledge Injection.

Shuai Li, Kejiang Chen, Kunsheng Tang, Wen Huang, Jie Zhang, Weiming Zhang, Nenghai Yu

CoRR, 2023

2022

PBPAFL: A Federated Learning Framework with Hybrid Privacy Protection for Sensitive Data.

Ruichu Yao, Kunsheng Tang, Yongshi Zhu, Bingbing Fan, Tian Luo, Yide Song

Proceedings of the Digital Forensics and Cyber Crime - 13th EAI International Conference, 2022