ContractLens: Latent Security Knowledge for Malicious Smart Contract Detection
该论文聚焦 Web3.0 生态中的恶意智能合约审计问题。背景是:基于大语言模型(LLM)的合约审计方法目前主要依赖提示工程(prompt engineering)或针对特定攻击类型的微调,而对 LLM 内部究竟依靠哪些表征来完成恶意逻辑识别
今日共收录 1258 条安全情报,包含 460 个 CVE,421 篇安全通告,以及 100 篇研究论文。
← 返回归档列表该论文聚焦 Web3.0 生态中的恶意智能合约审计问题。背景是:基于大语言模型(LLM)的合约审计方法目前主要依赖提示工程(prompt engineering)或针对特定攻击类型的微调,而对 LLM 内部究竟依靠哪些表征来完成恶意逻辑识别
该论文针对远程证明(remote attestation)在专有软件场景下的信任缺口提出了一种新架构。背景是:可信执行环境(TEE)通过硬件绑定密钥对自身配置信息签名,生成包含内部加载代码度量值(cryptographic digests
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Large language models (LLMs) offer a flexible approach to network intrusion detection, but direct classification of nume
Static-analysis scanners can identify personal-data types in source code, but they lack mechanisms to connect these find
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