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20242026
most citedExploring Adversarial Attacks against Latent Diffusion Model from the Perspective of Adversarial Transferability

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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.CV2026

Thinking Before Matching: A Reinforcement Reasoning Paradigm Towards General Person Re-Identification

Quan Zhang, Jingze Wu, Jialong Wang +3

Learning identity-discriminative representations with multi-scene generality has become a critical objective in person re-identification (ReID). However, mainstream perception-driv…

cs.CV2025

Mind the Trojan Horse: Image Prompt Adapter Enabling Scalable and Deceptive Jailbreaking

Junxi Chen, Junhao Dong, Xiaohua Xie

Recently, the Image Prompt Adapter (IP-Adapter) has been increasingly integrated into text-to-image diffusion models (T2I-DMs) to improve controllability. However, in this paper, w…

cs.CV2024

GuardSplat: Efficient and Robust Watermarking for 3D Gaussian Splatting

Zixuan Chen, Guangcong Wang, Jiahao Zhu +2

3D Gaussian Splatting (3DGS) has recently created impressive 3D assets for various applications. However, considering security, capacity, invisibility, and training efficiency, the…

cs.CV2024★ 1 cited

Exploring Adversarial Attacks against Latent Diffusion Model from the Perspective of Adversarial Transferability

Junxi Chen, Junhao Dong, Xiaohua Xie

Recently, many studies utilized adversarial examples (AEs) to raise the cost of malicious image editing and copyright violation powered by latent diffusion models (LDMs). Despite t…