cyberintel.kalymoon.com · 43296 articles · updated every 4 hours · grows forever
Attackers Weaponize CVE-2026-39987 to Spread Blockchain-Based Backdoor Via Hugging Face CyberSecurityNews
6,000+ Apache ActiveMQ Instances Vulnerable to CVE-2026-34197 Exposed Online cyberpress.org
Keeping a competitive edge in the cybersecurity ‘game’ CyberScoop
Rackspace identifies ransomware threat actor behind December attack via Exchange Cybersecurity Dive
Threat intelligence isn’t for everyone, Google says Cybersecurity Dive
Cybersecurity in a Race to Unmask a New Wave of AI-Borne Deepfakes Dark Reading
Space companies say cyber threat intelligence is often overclassified, unactionable Nextgov/FCW
Grupo Seguritech is a Mexican surveillance company that is expanding into the US.
arXiv:2604.16922v1 Announce Type: new Abstract: Climate research is pivotal for mitigating global environmental crises, yet the accelerating volume of multi-scale datasets and the complexity of analyt…
arXiv:2604.16913v1 Announce Type: new Abstract: Decentralized Autonomous Organizations (DAOs) are inclined explore Small Language Models (SLMs) as edge-native constitutional firewalls to vet proposals…
arXiv:2604.16911v1 Announce Type: new Abstract: Large Language Model (LLM) agents are increasingly extended at runtime via skill packages, structured natural-language instruction bundles loaded from a…
arXiv:2604.16902v1 Announce Type: new Abstract: Native Omni-modal Large Language Models (OLLMs) have shifted from pipeline architectures to unified representation spaces. However, this native integrat…
arXiv:2604.16890v1 Announce Type: new Abstract: Large reasoning models that use long chain-of-thought excel at problem-solving yet waste compute on redundant checks. Curbing this overthinking is hard:…
arXiv:2604.16871v1 Announce Type: new Abstract: Neuro-symbolic Reinforcement Learning (NeSy-RL) combines symbolic reasoning with gradient-based optimization to achieve interpretable and generalizable …
arXiv:2604.16859v1 Announce Type: new Abstract: Accurate traffic forecasting is crucial for intelligent transportation systems, supporting effective traffic management, congestion reduction, and infor…
arXiv:2604.16835v1 Announce Type: new Abstract: Shanghai Composite Index prediction has become a hot issue for many investors and academic researchers. Deep learning models are widely applied in multi…
arXiv:2604.16813v1 Announce Type: new Abstract: Agentic AI systems are rapidly advancing toward real-world applications, yet their readiness in complex and personalized environments remains insufficie…
arXiv:2604.16812v1 Announce Type: new Abstract: When model developers or users fine-tune an LLM, this can induce behaviors that are unexpected, deliberately harmful, or hard to detect. It would be far…
arXiv:2604.16776v1 Announce Type: new Abstract: Modeling single-cell gene expression across diverse biological and technical conditions is crucial for characterizing cellular states and simulating uns…
arXiv:2604.16755v1 Announce Type: new Abstract: As large language models (LLMs) are increasingly integrated into daily life, in roles ranging from high-stakes decision support to companionship, unders…
arXiv:2604.16753v1 Announce Type: new Abstract: As large language models (LLMs) transition into autonomous agents integrated with extensive tool ecosystems, traditional routing heuristics increasingly…
arXiv:2604.16752v1 Announce Type: new Abstract: Current agent evaluations largely reward execution on fully specified tasks, while recent work studies clarification [11, 22, 2], capability awareness […
arXiv:2604.16745v1 Announce Type: new Abstract: Training-free token reduction methods for Vision Transformers (ToMe, ToFu, PiToMe, and MCTF) employ different scoring mechanisms, yet they share a close…
arXiv:2604.16742v1 Announce Type: new Abstract: Scientists have long sought to accurately predict outcomes of real-world events before they happen. Can AI systems do so more reliably? We study this qu…