Beyond Model Scaling: Rethinking Sequence Construction for Transformer-based Network Intrusion Detection
Transformer-based network intrusion detection systems (NIDS) have shown strong potential for detecting multi-stage cyber
2026-10-15 归档
今日共收录 805 条安全情报，包含 0 个 CVE，398 篇安全通告，以及 100 篇研究论文。
← 返回归档列表Local Leakage Resilience of Shamir Secret Sharing: Below Half Threshold Rate
We study the local leakage resilience of Shamir secret sharing, where an adversary leaks a bounded number of bits from e
Enhanced Detective: A Dual-Stage Proactive Defense Against Internal Poisoning Attacks in Financial Fraud Detection Using Federated Learning
With recent developments in Artificial Intelligence (AI), the adoption of distributed learning paradigms such as Federat
BrowseSafe++: Benchmarking Prompt Injection Detection Across Web Contexts, Languages, and Browser Views
Browser agents need to make decisions and execute actions on behalf of users while consuming untrusted webpages, creatin
Fast Forgiving Base64 Decoding with SIMD Instructions
On the Internet, we use the Base64 format to represent binary data (e.g., images or cryptographic keys) as text. The ES2
Mitigating Black-Box Score-Based Query Attacks via Gradient Confusion
Score-based black-box adversarial attacks pose a serious threat to deployed machine learning systems by exploiting repea
VulnBump: A Benchmark for Fixing Vulnerable Dependencies in Real Projects While Keeping the Build and Tests Green
Software composition analysis (SCA) tools report far more vulnerable dependencies than teams fix: in Snyk Open Source pr
SSM-Attack: Learning Where to Perturb for Black-Box Face Privacy
Face recognition systems are deployed widely enough that a photograph shared online can be matched without its subject's
Tight End-to-End Accounting for Differentially Private Synthetic Data
Differentially private (DP) pipelines often combine heterogeneous mechanisms, yet their guarantees are best analyzed usi
Who is the 'I' in AI? Establishing Decentralized Identity and Accountability for Autonomous Agents
The rapid proliferation of autonomous AI agents in decentralized ecosystems challenges existing identity paradigms. Whil
Can Rényi Accountants Beat Lossless Accountants for DP-SGD?
Recent frameworks in differential privacy (DP), such as privacy loss distributions and $f$-DP, provide lossless represen
SEAL-DT: An End-to-End Security Engineering and Assurance Framework for Cross-Domain Digital Twins
Cyber-physical systems connect physical processes, software, networks and organizations. Securing them requires a clear
The Right to Be Forgotten under Correlation: Privacy-Utility Tradeoffs
We study privacy-preserving algorithms that redact information from a correlated dataset. The goal is to reduce the info
Think Locally Before Computing Jointly: Efficient Secure Multi-Party Computation via Maximizing Local Processing
Secure multi-party computation (MPC) lets parties evaluate a function over private inputs without revealing them. In gar
CWE-bench: Refocusing Agentic Security from Exploitation to Defense
Cybersecurity evaluations of AI agents have focused largely on offense, yet a working exploit does not show that an agen
Toward Realistic Privacy Risk in FL-Enabled OT Intrusion Detection Systems
In Operational Technology (OT) environments, Federated Learning (FL) is increasingly adopted to train Intrusion Detectio
Beyond User-Side Defenses: Image Protection in Open-Weight Diffusion Models
Model providers can support image protection, but open-weight deployment introduces practical constraints. We propose fo
Unsupervised Data Drift Monitoring for Deployed Deepfake Speech Detectors
Deepfake speech detectors are typically evaluated as binary classifiers on fixed benchmarks, but deployed systems face e
PrivacyGuard: Source-Linked Sanitization and Locally Resolvable PII References for Cloud GUI Agents
Cloud graphical user interface (GUI) agents send instructions and screenshots to remote planners, exposing personally id
Digital-Twin-Referenced Belief-Guided Q-Learning for Jammer Identification and Beam-Power Control in a mmWave Model
Digital Twin (DT) combined with reinforcement learning (RL) can support adaptive resource allocation and security-aware