结合神经符号与自适应修复，精准定位并修补代码漏洞，AI安全新突破！
arXiv:2604.17184v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) can generate plausible code patches, but plausibility is not en…
一篇实证研究，揭示大语言模型在生成代码时对自己安全性的认知偏差，关乎代码安全可靠性。
arXiv:2606.31159v1 Announce Type: cross Abstract: Large Language Models (LLMs) are rapidly transforming software development, yet their use in securit…
AI大模型驱动的RAG系统RAVEN，用智能体协同修复软件漏洞，突破传统局限。
arXiv:2606.22647v1 Announce Type: cross Abstract: Automated vulnerability repair has emerged as a promising direction to mitigate the growing number o…
全面梳理AI如何革新二进制逆向分析，涵盖ML、LLM和智能代理的最新进展。
arXiv:2606.17398v1 Announce Type: cross Abstract: Binary reversing is fundamental to software understanding, vulnerability discovery, malware investig…
首项系统化攻击逆向工程AI代理的研究，揭示AI辅助逆向的脆弱性，为安全防御敲响警钟。
arXiv:2605.30667v1 Announce Type: cross Abstract: Software tools for reverse engineering executable binary files, such as Ghidra, enable malware analy…
AI开发工具正重塑软件安全格局，新研究深度剖析其机遇与暗礁
Article URL: https://arxiv.org/abs/2603.15298 Comments URL: https://news.ycombinator.com/item?id=48344963 Points: 1 # Comments: 1
最新基准测试揭示大模型在长期软件安全任务中的真实表现
arXiv:2605.26548v1 Announce Type: cross Abstract: Large language models (LLMs) now support automated software security tasks, including vulnerability …
用本体知识块实现AI系统的可执行合规与配置文件验证，为可信赖AI提供新思路
arXiv:2605.23297v1 Announce Type: new Abstract: AI-enabled services deployed in critical digital infrastructure are subject to governance obligations …
AI正在让应用安全失控？安全专家Tanya Janca警示：我们正以三倍限速驾驶汽车。
Article URL: https://redmonk.com/videos/tanya-janca/ Comments URL: https://news.ycombinator.com/item?id=48227013 Points: 1 # Comments: 0
仓库级漏洞自动修复新方案，用层次化记忆提升LLM代理修复准确性
arXiv:2605.17444v1 Announce Type: cross Abstract: Modern software ecosystems face a rapidly growing number of disclosed vulnerabilities, increasing th…