2 papers
cs.CR2025
Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification
Xinjie Lin, Gang Xiong, Gaopeng Gou +4
Encrypted traffic classification is highly challenging in network security due to the need for extracting robust features from content-agnostic traffic data. Existing approaches fa…
cs.CR2025
POISONCRAFT: Practical Poisoning of Retrieval-Augmented Generation for Large Language Models
Yangguang Shao, Xinjie Lin, Haozheng Luo +4
Large language models (LLMs) have achieved remarkable success in various domains, primarily due to their strong capabilities in reasoning and generating human-like text. Despite th…