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Bo-Liang Liu

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Preprint Sep 2026

TokenScanner: Detecting Backdoors and Discovering Triggers in Text-to-Image LoRAs via Full Vocabulary Scanning

LoRAs are widely studied for adapting base text-to-image diffusion models. However, a backdoored LoRA can hide a backdoor: it behaves normally in most cases, but produces attacker-specified content (the backdoor target) when a hidden backdoor trigger appears in the input prompt. Detecting such backdoors before using an...

Bo-Liang Liu, Jing Zhang · 0 citations
#edge computing Preprint Sep 2026

ComVLA: Communication-Aware Split Inference for VLA Models in 6G-Connected Robotics

ComVLA is proposed, a framework that uses the dense semantic information contained in the language guidance to adapt the VLA token budget to the channel capacity, and demonstrates that co-designing VLA inference and wireless communication is a practical direction for 6G-connected robotics.

Bo-Liang Liu, Wint Yi Poe, Jing-Yun Di et al. · 0 citations
#artificial intelligence Conference Open access May 2026

Foundation Models for Generalizable Semantic and Goal-Oriented Communication

Foundation Model-Guided Semantic and Goal-Oriented Communication (FMSGOC), a framework that uses broad visual–linguistic Foundation Model priors to mitigate overfitting and improves rate efficiency by concentrating bits on sparse, goal-aligned anchors and relying on generative foundation-model priors to reconstruct the...

Bo-Liang Liu, Wint Yi Poe, Riccardo Trivisonno et al. · 2 citations
Book Open access Aug 2026

Anytest: Localizing the Root Cause of Hardware Transport Performance Anomalies

Anytest, an in-situ black-box testing tool that localizes root causes of transport-layer NPAs on commodity RoCEv2 RNICs and Ethernet switches without re-cabling or hardware modification, and implements Anytest's DPDK-based endpoints, which realize protocol correctness while enforcing μs-level packet timing at the hardw...

Zhaochen Zhang, Jia-Qi Gao, Sheng Cheng et al. · 0 citations

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