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20232026
most citedA Dual Stealthy Backdoor: From Both Spatial and Frequency Perspectives

2 citations · 2 across the 6 of their papers we have counts for

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cs.CR2026

Cooldown Landmines: Cross-Tenant Interference Attacks on LLM Gateways

Yudong Gao, Linghan Chen, Wenhan Wu +8

LLM gateways enforce separate tenant quotas while sharing model deployments and cooldown records that temporarily exclude failing backends. However, a tenant's request failure can…

cs.CR2026

GhostSplat: Input-Triggered Backdoors for Multi-View-Consistent 3D Content Manipulation in Feed-Forward Gaussian Splatting

Yudong Gao, Zongjian Ding, Linghan Chen +5

Feed-forward 3D Gaussian Splatting (3DGS) reconstructs a 3D scene from sparse images in one forward pass. Its shared pretrained weights also expose a supply-chain attack surface. E…

cs.CR2025

FFCBA: Feature-based Full-target Clean-label Backdoor Attacks

Yangxu Yin, Honglong Chen, Yudong Gao +4

Backdoor attacks pose a significant threat to deep neural networks, as backdoored models would misclassify poisoned samples with specific triggers into target classes while maintai…

cs.CR2025

SFIBA: Spatial-based Full-target Invisible Backdoor Attacks

Yangxu Yin, Honglong Chen, Yudong Gao +3

Multi-target backdoor attacks pose significant security threats to deep neural networks, as they can preset multiple target classes through a single backdoor injection. This allows…

cs.CR2023★ 2 cited

A Dual Stealthy Backdoor: From Both Spatial and Frequency Perspectives

Yudong Gao, Honglong Chen, Peng Sun +3

Backdoor attacks pose serious security threats to deep neural networks (DNNs). Backdoored models make arbitrarily (targeted) incorrect predictions on inputs embedded with well-desi…