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cs.CR2025
Odysseus: Jailbreaking Commercial Multimodal LLM-integrated Systems via Dual Steganography
Songze Li, Jiameng Cheng, Yiming Li +2
By integrating language understanding with perceptual modalities such as images, multimodal large language models (MLLMs) constitute a critical substrate for modern AI systems, par…
cs.CR2025
ReCIT: Reconstructing Full Private Data from Gradient in Parameter-Efficient Fine-Tuning of Large Language Models
Jin Xie, Ruishi He, Songze Li +2
Parameter-efficient fine-tuning (PEFT) has emerged as a practical solution for adapting large language models (LLMs) to custom datasets with significantly reduced computational cos…