Evaluating and Improving Static Application Security Testing Tools for Rust
Rust has become a popular systems programming language in recent years because of its strong guarantees on memory and co
今日共收录 660 条安全情报,包含 0 个 CVE,346 篇安全通告,以及 66 篇研究论文。
← 返回归档列表Rust has become a popular systems programming language in recent years because of its strong guarantees on memory and co
Natural language messages often contain quasi-identifiers that are weak in isolation but can jointly reveal an individua
Static application security testing (SAST) tools help detect potential software vulnerabilities, but they themselves con
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
Mobile health (mHealth) apps collect personally-identifiable information while handling uniquely sensitive medical data,
Rènyi differential privacy, based on Rènyi divergence, has become a notion of choice for privacy guarantees. However, ou
Implementing Security Technical Implementation Guide (STIG) controls remains a demanding operating-system administration
Typed decision models often return more than a selected category. They also expose probabilities for each candidate and,
Small Language Models (SLMs) are increasingly attractive for resource-constrained environments due to their low computat
EIP-1559 has become the dominant transaction fee mechanism in permissionless blockchains, regulating scarce block space
Coding agents are increasingly capable with autonomy, which exposes them to repository-level poisoning. Existing red-tea
Private simultaneous quantum messages (PSQM) provide a minimal model of noninteractive secure multiparty quantum computa
Tool-using language-model agents increasingly rely on local services for document access, approval management, and enter
Leakage-abuse attacks against encrypted database systems exploit semantic leakage and pose a severe threat to the confid
Data useful for language model (LM) training can contain private or unwanted information that is at risk of being learne
Scaling laws and hyperparameter tuning remain central challenges in training large-scale models, particularly under diff
Regulated institutions already perform onboarding, screening, monitoring, and review, but compliance evidence ages, and
Payment systems authenticate users, devices, accounts, and cryptographic credentials, but a relying party, such as a cou