GitHub Security Lab 发布 LLM 驱动的 Fuzzing Taskflow,自动完成 C/C++ 项目模糊测试全流程
AIHOT ·
GitHub Security Lab 的 Antonio Morales 开源了基于 Taskflow Agent 的 Fuzzing Taskflow,指向 GitHub 仓库即可自动识别入口点、编写 harness、运行 AFL++、读取覆盖报告并分诊崩溃。
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GitHub Security Lab 的 Antonio Morales 开源了基于 Taskflow Agent 的 Fuzzing Taskflow,指向 GitHub 仓库即可自动识别入口点、编写 harness、运行 AFL++、读取覆盖报告并分诊崩溃。
原文内容 · 暂无该语言译文NVIDIA Technical Blog ·
As language models grow, scaling dense architectures becomes increasingly expensive. In a dense transformer, every token passes through every layer, so adding... As language mod…
原文内容 · 暂无该语言译文arXiv cs.RO ·
Lower cost open source robots and reinforcement learning (RL) simulation tools create new opportunities for precollege students to engage with contemporary robotics. However, tr…
原文内容 · 暂无该语言译文arXiv cs.RO ·
Bioinspired feedback controls for pursuit, tracking, and collective motion are often expressed in terms of the relative configuration between interacting agents. In practice, ho…
原文内容 · 暂无该语言译文arXiv cs.CL ·
While text-based hallucination detection is well studied, reference-free detection of factual alterations in speech remains underexplored, especially for low-resource languages.…
原文内容 · 暂无该语言译文arXiv cs.CL ·
Large language models are rapidly being deployed as AI tutors, yet current evaluation paradigms assess problem-solving accuracy and generic safety in isolation, failing to captu…
原文内容 · 暂无该语言译文AIHOT ·
vLLM 宣布支持基于 Gumbel-max 算法的无失真水印,将其集成进 Model Runner v2 的采样管线,并通过 PR #54053、#56122、#56233 实现融合 GPU kernel、双键方案和上下文去重,以兼容投机解码并保持输出多样性。
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