collaborators

5 papers

cs.CR2026

Towards Scalable Fuzzy PSI via Efficient Fuzzy Matching

Meng Hao, Xinpeng Yang, Hanxiao Chen +5

In this paper, we present scalable fuzzy PSI protocols for general distance, supporting both low- and high-dimensional sets. The core technique is two effic…

cs.CL2026

One Jailbreak, Many Tongues: Learning Language-Insensitive Intention Representations for Multilingual Jailbreak Detection

Shuyu Jiang, Kaiyu Xu, Xingshu Chen +5

Large language models (LLMs) are increasingly deployed in applications for global multilingual users, yet safety training remains concentrated in dominant languages and has not pro…

cs.CV2026

TEAR: Temporal-aware Automated Red-teaming for Text-to-Video Models

Jiaming He, Guanyu Hou, Hongwei Li +6

Text-to-Video (T2V) models are capable of synthesizing high-quality, temporally coherent dynamic video content, but the diverse generation also inherently introduces critical safet…

cs.CR2025

BadLingual: A Novel Lingual-Backdoor Attack against Large Language Models

Zihan Wang, Hongwei Li, Rui Zhang +5

In this paper, we present a new form of backdoor attack against Large Language Models (LLMs): lingual-backdoor attacks. The key novelty of lingual-backdoor attacks is that the lang…

cs.CR2025

The Gradient Puppeteer: Adversarial Domination in Gradient Leakage Attacks through Model Poisoning

Kunlan Xiang, Haomiao Yang, Meng Hao +5

In Federated Learning (FL), clients share gradients with a central server while keeping their data local. However, malicious servers could deliberately manipulate the models to rec…