VulDec: Vulnerability Detection in Binaries via Neural Decompilation
Automated vulnerability detection in binary executables is challenging due to the lack of source code and the limited se
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← 返回归档列表Automated vulnerability detection in binary executables is challenging due to the lack of source code and the limited se
Large language models (LLMs) increasingly decide whether Web evidence supports online claims, often by voting over sever
LLM agents have been increasingly adopted for security-focused code review, but existing benchmarks mostly derive the re
LLM-powered agents increasingly rely on third-party skills that combine natural-language instructions with executable co
Large Language Models (LLMs) promise significant efficiency gains across information-intensive operations by automating
Large language model agents launch simulations on high-performance computing (HPC) systems, where one sbatch or mpirun c
Large language model (LLM) agents are widely used in many applications and often rely on external tools. Tool informatio
Pipelines that combine large language models (LLMs) with static analysis let the model consume the analyser's output as
Prompt injection benchmarks assess whether large language models (LLMs) and agents resist malicious instructions embedde
Automated Vulnerability Repair (AVR) has emerged as a critical defense against software security flaws, aiming to triage
CVE-2020-6507
[原创]CVE-2020-6507利用链
CVE-2026-39821
CVE-2026-39821:Go idna 纯 ASCII 标签解码漏报
CVE-2026-6791
CVE-2026-6791:8 MiB 输入击穿 glibc wordexp 栈
CVE-2026-111497
PHP has rebuilt its official Windows packages for PHP 8.2 through 8.5 to fix CVE-2026-111497, a flaw in the Brotli compr
Human oversight is a pillar of AI safety. It is often exercised by a human in the loop (HITL) who approves critical acti
In federated learning (FL), secure aggregation enables a server to compute the sum of local model updates of $N$ clients
Imagery captured by unmanned aerial vehicle (UAV) systems increasingly raises privacy concerns, as UAV aerial surveillan
Generative AI is putting the law of reverse engineering (RE) under severe strain. Existing IP and technology laws assume
Web services increasingly expose backend interfaces that let users delegate tasks to AI agents, which invoke service ope
Differentially private synthesis of in-car energy consumption data is challenging because the output is high-dimensional