cyberintel.kalymoon.com · 4866 articles · updated every 4 hours · grows forever
arXiv:2604.20793v1 Announce Type: new Abstract: Post-quantum cryptographic (PQC) accelerators for ML-KEM (FIPS 203) and ML-DSA (FIPS 204) rely on pipelined Number Theoretic Transform (NTT) stages over…
arXiv:2604.20771v1 Announce Type: new Abstract: The Internet of Vehicles (IoV) is advancing modern transportation by improving safety, efficiency, and intelligence. However, the reliance on the Contro…
arXiv:2604.20765v1 Announce Type: new Abstract: Critical vulnerabilities with Common Vulnerability Scoring System scores of 9.0 or higher pose severe risks to organisations' information systems. Timel…
arXiv:2604.20704v1 Announce Type: new Abstract: Adversarial robustness evaluation underpins every claim of trustworthy ML deployment, yet the field suffers from fragmented protocols and undetected gra…
arXiv:2604.20621v1 Announce Type: new Abstract: Autonomous vehicles (AVs) increasingly rely on multi-sensor perception pipelines that combine data from cameras, lidar, radar, and other modalities to i…
arXiv:2604.20576v1 Announce Type: new Abstract: As DRAM scaling exacerbates RowHammer, DDR5 introduces per-row activation counting (PRAC) to track aggressor activity. However, PRAC indiscriminately in…
arXiv:2604.20496v1 Announce Type: new Abstract: The April 2026 Claude Mythos sandbox escape exposed a critical weakness in frontier AI containment: the infrastructure surrounding advanced models remai…
arXiv:2604.20495v1 Announce Type: new Abstract: Machine learning-based static malware detectors remain vulnerable to adversarial evasion techniques, such as metamorphic engine mutations. To address th…
arXiv:2604.20401v1 Announce Type: new Abstract: Approximate nearest neighbor (ANN) search in AI systems increasingly handles sensitive data on third-party infrastructure. Trusted execution environment…
arXiv:2604.20389v1 Announce Type: new Abstract: The rapid evolution and use of Large Language Models (LLMs) in professional workflows require an evaluation of their domain-specific knowledge against i…
arXiv:2604.20378v1 Announce Type: new Abstract: Memory analysis is a crucial technique in digital forensics that enables investigators to examine the runtime state of a system through physical memory …
arXiv:2604.20269v1 Announce Type: new Abstract: With the popularity of the large language models (LLMs), text steganography has achieved remarkable performance. However, existing methods still have so…
arXiv:2604.20260v1 Announce Type: new Abstract: Modern ransomware exhibits polymorphic and evasive behaviors by frequently modifying execution patterns to evade detection. This dynamic nature disrupts…
arXiv:2604.20179v1 Announce Type: new Abstract: The rapidly evolving Node$.$js ecosystem currently includes millions of packages and is a critical part of modern software supply chains, making vulnera…
arXiv:2604.20134v1 Announce Type: new Abstract: Security Operations Centers (SOCs) increasingly encounter difficulties in correlating heterogeneous alerts, interpreting multi-stage attack progressions…
arXiv:2604.20020v1 Announce Type: new Abstract: As microelectronics flourish and outsourcing of the design and manufacturing stages of integrated circuits (ICs) and printed circuit boards (PCBs) becom…
arXiv:2604.19915v1 Announce Type: new Abstract: Federated Learning (FL) is a promising approach for multiparty collaboration as a privacy-preserving technique in hardware assurance, but its security a…
arXiv:2604.19891v1 Announce Type: new Abstract: Federated Learning (FL) is an emerging solution to the data scarcity problem for training deep learning models in hardware assurance. While FL is design…
arXiv:2604.19890v1 Announce Type: new Abstract: Fully homomorphic encryption (FHE) enables computation on encrypted data without decryption, making it central to privacy-preserving applications. Howev…
In 2023 GitHub introduced CodeQL multi-repository variant analysis (MRVA). This functionality lets you run queries across thousands of projects using pre-built databases and drastically reduces the ti…
We’re getting Sigstore’s rekor-monitor ready for production use, making it easier for developers to detect tampering and unauthorized uses of their identities in the Rekor transparency log. This work,…
Memory safety bugs like use-after-free and buffer overflows remain among the most exploited vulnerability classes in production software. While AddressSanitizer (ASan) excels at catching these bugs du…
I recently attended the AI Engineer Code Summit in New York, an invite-only gathering of AI leaders and engineers. One theme emerged repeatedly in conversations with attendees building with AI: the be…
Go’s arithmetic operations on standard integer types are silent by default, meaning overflows “wrap around” without panicking. This behavior has hidden an entire class of security vulnerabilities from…