Author

Kunlin Cai

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#machine learning Jun 2026

RogueMerge: Robust and Unified Attacks against LLM Model Merging

RogueMerge is presented, the first unified attack framework addressing all three challenges of model merging: autoregressive generation, static arithmetic with a joint optimization that explicitly enforces attack success after merging, and attack injection as a stochastic min-max optimization problem and solve it via m...

Jing-Huai Zhang, Ye He, Kun-Lin Cai et al. · arXiv.org · 1 citation

#edge computing Open access Sep 2026

Adapting Pretrained Large Vision Models for Sensor-based Activity Recognition

Understanding and recognizing human activities from low-cost wearable sensors has attracted increasing attention in recent years. To achieve this goal, numerous learning models and augmentation approaches have been developed. While effective in certain scenarios, their performance is often limited due to the distributi...

Yi-Ze Cai, Rui-Xiang Feng, Kun-Lin Cai et al. · Proceedings of the ACM on In... · 0 citations

#machine learning Preprint Sep 2026

Hearing the Whispers: Black-Box Membership Inference Attacks on Finetuned TTS Models

This work presents the first black-box MIA framework explicitly tailored to TTS models at both the speaker and record levels, and characterize the feasible query space and establish two criteria, scorable extent and memorization elicitation, for evaluating five representative queries.

Kun-Lin Cai, Kai-Yuan Zhang, Zihang Xiang et al. · 0 citations