cyberintel.kalymoon.com · 2819 articles · updated every 4 hours · grows forever
arXiv:2604.00188v1 Announce Type: new Abstract: Coercion-resistance (CR) is a crucial security property in e-voting systems. It ensures that an attacker cannot compel a voter to vote in a specific way…
arXiv:2604.00181v1 Announce Type: new Abstract: This paper brings up this idea of using Near Field Communication (NFC) for inventory control system instead of using traditional barcodes. NFC because o…
arXiv:2604.00169v1 Announce Type: new Abstract: Privacy protection has become an increasing concern in modern machine learning applications. Privacy-preserving machine learning (PPML) has attracted gr…
arXiv:2604.00112v1 Announce Type: new Abstract: Detecting software vulnerabilities is critical to ensuring the security and reliability of modern computer systems. Deep neural networks have shown prom…
arXiv:2604.00079v1 Announce Type: new Abstract: Machine-learning-based code vulnerability detection (CVD) has progressed rapidly, from deep program representations to pretrained code models and LLM-ce…
arXiv:2604.00063v1 Announce Type: new Abstract: Cloud computing has drastically altered the ways in which it is possible to deliver information technologies in a service-led structure, however, this h…
Release: datasette-llm 0.1a6 The same model ID no longer needs to be repeated in both the default model and allowed models lists - setting it as a default model automatically adds it to the allowed mo…
Release: datasette-enrichments-llm 0.2a1 The actor who triggers an enrichment is now passed to the llm.mode(... actor=actor) method. #3 Tags: enrichments , llm , datasette
Cybersecurity M&A Roundup: Cyber Giants Strengthen AI Security Offerings Infosecurity Magazine
Here are Google’s latest AI updates from March 2026
Google partnered with the Brazilian government on a satellite imagery map to help protect the country’s forests.
A CIO’s Playbook for Enterprise AI Deployment in 2026 and Beyond Cybersecurity Insiders
Crossposted from the DeepMind Safety Research Medium Blog . Read our full paper about this topic by Max Kaufmann, David Lindner, Roland S. Zimmermann, and Rohin Shah. Overseeing AI agents by reading t…
When Zeus, a medical student living in a hilltop city in central Nigeria, returns to his studio apartment from a long day at the hospital, he turns on his ring light, straps his iPhone to his forehead…
arXiv:2603.29557v1 Announce Type: new Abstract: Scientific idea generation (SIG) is critical to AI-driven autonomous research, yet existing approaches are often constrained by a static retrieval-then-…
arXiv:2603.29500v1 Announce Type: new Abstract: Large language models (LLMs) have recently demonstrated impressive performance on complex, multi-step reasoning tasks, especially when post-trained with…
arXiv:2603.29496v1 Announce Type: new Abstract: We present Metriplector, a neural architecture primitive in which the input configures an abstract physical system--fields, sources, and operators--and …
arXiv:2603.29491v1 Announce Type: new Abstract: In the evaluation of attribution quality, the quantitative assessment of explanation legibility is particularly difficult, as it is influenced by varyin…
arXiv:2603.29399v1 Announce Type: new Abstract: Constructing Extract-Load-Transform (ELT) pipelines is a labor-intensive data engineering task and a high-impact target for AI automation. On ELT-Bench,…
arXiv:2603.29366v1 Announce Type: new Abstract: Prior authorization remains one of the most burdensome administrative processes in U.S. healthcare, consuming billions of dollars and thousands of physi…
arXiv:2603.29361v1 Announce Type: new Abstract: Tree ensembles (TEs) find a multitude of practical applications. They represent one of the most general and accurate classes of machine learning methods…
arXiv:2603.29357v1 Announce Type: new Abstract: AI evaluation suites often report many scores without checking whether those scores carry independent information. We introduce Effective Dimensionality…