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From the 1 of 10 linked papers with an AI index.

collaborators

10 papers

cs.CV2026

EvTrajGS: Accurate and Efficient 3D Gaussian Splatting from Unposed Event Streams

Zixuan Chen, Jiakai Zhang, Junhao Dong +4

Event cameras, with high temporal resolution, high dynamic range, and asynchronous sensing characteristics, have shown great potential for dense 3D reconstruction. Traditional reco…

cs.CR2026

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle

Jiaming Zhang, Boyang Chen, Zherui Li +14

Once visual content enters an AI pipeline, its owner often retains little technical control over how it is used. Legal and regulatory remedies can address misuse, but many technica…

cs.CV2026

Unifying Adversarially Robust Model Experts in Vision-Language Models

Nguyen Duc Thai, Junhao Dong, Sua Qi Rong +2

The paper introduces CARE, a framework that jointly fine‑tunes multiple adversarially robust vision‑language model experts and merges their knowledge into a single model with compl…

cs.CR2026

Adaptive Probe-based Steering for Robust LLM Jailbreaking

Junxi Chen, Junhao Dong, Xiaohua Xie

Recent work has demonstrated the potential of contrastive steering for jailbreaking Large Language Models (LLMs). However, existing methods rely on limited and inherently biased co…

cs.SD2026

A Survey of Large Audio Language Models: Generalization, Trustworthiness, and Outlook

Kaiwen Luo, Zhenhong Zhou, Leo Wang +34

Advances in Large Language Models (LLMs) have paved the way for Multimodal Large Language Models (MLLMs). Among these, Large Audio Language Models (LALMs) are essential for realizi…

cs.CV2026

CATA: Continual Machine Unlearning via Conflict-Averse Task Arithmetic

Shen Lin, Junhao Dong, Rongjie Chen +3

Vision-language models (VLMs) have shown remarkable ability in aligning visual and textual representations, enabling a wide range of multimodal applications. However, their large-s…