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cs.SE2025
One Bug, Hundreds Behind: LLMs for Large-Scale Bug Discovery
Qiushi Wu, Yue Xiao, Dhilung Kirat +3
Fixing bugs in large programs is a challenging task that demands substantial time and effort. Once a bug is found, it is reported to the project maintainers, who work with the repo…
cs.CR2025
Measuring the Security of Mobile LLM Agents under Adversarial Prompts from Untrusted Third-Party Channels
Chenghao Du, Quanfeng Huang, Tingxuan Tang +3
Large Language Models (LLMs) have transformed software development, enabling AI-powered applications known as LLM-based agents that promise to automate tasks across diverse apps an…