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From the 1 of 9 linked papers with an AI index.

activity
20242026
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9 papers

cs.CV2026

Consistent Evidence, Robust Recognition: Faithful Attribution Regularization under Geometric Transformations

Xianghao Jiao, Ruoyu Chen, Wei Wang +6

Attribution methods are widely used to characterize the evidence underlying model predictions, yet their potential to improve model behavior remains underexplored. Attribution inco…

cs.CV2026

Evidence Recomposition and Predictive Context Residualization for Visual Attribution in Multimodal Large Language Models

Jiawei Liang, Jianjie Huang, Ruoyu Chen +4

The paper introduces ERCR, a framework that improves token-level visual attribution in multimodal large language models by recombining evidence across multiple token-to-region view…

cs.LG2026

Can Attribution Predict Risk? From Multi-View Attribution to Planning Risk Signals in End-to-End Autonomous Driving

Le Yang, Ruoyu Chen, Haijun Liu +3

End-to-end autonomous driving models generate future trajectories from multi-view inputs, improving system integration but introducing opaque decisions and hard-to-localize risks.…

cs.CV2026

R-PGA: Robust Physical Adversarial Camouflage Generation via Relightable 3D Gaussian Splatting

Tianrui Lou, Siyuan Liang, Jiawei Liang +2

Physical adversarial camouflage poses a severe security threat to autonomous driving systems by mapping adversarial textures onto 3D objects. Nevertheless, current methods remain b…

cs.CV2025

Universal Camouflage Attack on Vision-Language Models for Autonomous Driving

Dehong Kong, Sifan Yu, Siyuan Liang +4

Visual language modeling for automated driving is emerging as a promising research direction with substantial improvements in multimodal reasoning capabilities. Despite its advance…

cs.CV2025

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation

Tianrui Lou, Xiaojun Jia, Siyuan Liang +4

Physical adversarial attack methods expose the vulnerabilities of deep neural networks and pose a significant threat to safety-critical scenarios such as autonomous driving. Camouf…