CyberIntel ⬡ News
★ Saved ◆ Cyber Reads

// AI & Machine Learning
Intel Feed

cyberintel.kalymoon.com  ·  4518 articles  ·  updated every 4 hours · grows forever

4518Total
4476Full Text
Jun 29, 2026Latest
◈ Women in Cyber ◉ Threat Intelligence ◎ How-To & Tutorials ⬡ Vulnerabilities & CVEs 🔍 Digital Forensics ◍ Incident Response & DFIR ◆ Security Tools & Reviews ◇ Industry News & Leadership ✉ Email Security 🛡 Active Threats ⚠ Critical CVEs ◐ Insider Threat & DLP ◌ Quantum Computing ◬ AI & Machine Learning
🔥 Trending Topics · Last 48h
◬ AI & Machine Learning Jun 29, 2026
ATOD: Annealed Turn-aware On-policy Distillation for Multi-turn Autonomous Agents

arXiv:2606.27814v1 Announce Type: new Abstract: Training small language-model agents for long-horizon interactive tasks requires both fast imitation and reward-driven improvement. On-policy distillati…

arXiv AI Read →
◬ AI & Machine Learning Jun 29, 2026
Grounded Iterative Language Planning: How Parameterized World Models Reduce Hallucination Propagation in LLM Agents

arXiv:2606.27806v1 Announce Type: new Abstract: World models for language agents come in two useful forms. An agent-based world model calls an LLM API and reasons flexibly in language, but its errors …

arXiv AI Read →
◬ AI & Machine Learning Jun 29, 2026
Understanding Rollout Error in Graph World Models

arXiv:2606.27780v1 Announce Type: new Abstract: World models are often used for planning by rolling learned dynamics forward. Many planning environments, however, are not vectors or images; they are g…

arXiv AI Read →
◬ AI & Machine Learning Jun 29, 2026
Towards Reliable and Robust LLM Planning: Symbolic Feedback-Driven Iterative Self-Refinement Framework

arXiv:2606.27757v1 Announce Type: new Abstract: Large language models (LLMs) have attracted widespread attention from academia and industry, yet their deployment raises critical security concerns rega…

arXiv AI Read →
◬ AI & Machine Learning Jun 29, 2026
MER-R1: Multimodal Emotion Reasoning via Slow-Fast Thinking Synergy

arXiv:2606.27652v1 Announce Type: new Abstract: We find that explicit reasoning does not necessarily translate into better multimodal emotion recognition (MER) accuracy, even though it makes predictio…

arXiv AI Read →
◬ AI & Machine Learning Jun 29, 2026
DysLexLens: A Low-Resource LLM Framework for Analysing Dyslexic Learners Insights from Online Forums

arXiv:2606.27619v1 Announce Type: new Abstract: Dyslexic learners increasingly use artificial intelligence (AI) tools to support reading, writing, organisation, and study-related tasks. However, their…

arXiv AI Read →
◬ AI & Machine Learning Jun 29, 2026
Odyssey: Constructing Verifiable Local Truth-Preserving Foundation Models

arXiv:2606.27593v1 Announce Type: new Abstract: We introduce a categorical framework called ODYSSEY for constructing verifiable, local truth-preserving foundation models as compositions of foundries: …

arXiv AI Read →
◬ AI & Machine Learning Jun 29, 2026
Internalizing the Future: A Unified Agentic Training Paradigm for World Model Planning

arXiv:2606.27483v1 Announce Type: new Abstract: Large language model (LLM) agents have demonstrated strong capability in sequential decision-making, yet they remains fundamentally reactive in long-hor…

arXiv AI Read →
◬ AI & Machine Learning Jun 29, 2026
When Does Personality Composition Matter for Multi-Agent LLM Teams?

arXiv:2606.27443v1 Announce Type: new Abstract: Personality prompting shapes how large language models communicate, yet whether these behavioral shifts affect objective task outcomes remains under-exp…

arXiv AI Read →
◬ AI & Machine Learning Jun 29, 2026
AI-Model Network: Concept, Current State and Future

arXiv:2606.27382v1 Announce Type: new Abstract: While the primary function of computers lies in computation and processing, the core value of the Internet is rooted in sharing and collaboration. Compu…

arXiv AI Read →
◬ AI & Machine Learning Jun 29, 2026
Automated Repeatable Adversary Threat Emulation with Effects Language (EL)

arXiv:2510.06420v2 Announce Type: replace Abstract: The emulation of multi-step attacks attributed to advanced persistent threats is valuable for training defenders and evaluating defense tools. In th…

arXiv Security Read →
◬ AI & Machine Learning Jun 29, 2026
PRISON: Unmasking the Criminal Potential of Large Language Models

arXiv:2506.16150v4 Announce Type: replace Abstract: As large language models (LLMs) advance, concerns about their misconduct in complex social contexts intensify. Existing research overlooked the syst…

arXiv Security Read →
◬ AI & Machine Learning Jun 29, 2026
Seven Security Challenges That Must be Solved in Cross-domain Multi-agent LLM Systems

arXiv:2505.23847v4 Announce Type: replace Abstract: Large language models (LLMs) are rapidly evolving into autonomous agents that cooperate across organizational boundaries, enabling joint disaster re…

arXiv Security Read →
◬ AI & Machine Learning Jun 29, 2026
DMind Benchmark: Toward a Holistic Assessment of LLM Capabilities across the Web3 Domain

arXiv:2504.16116v4 Announce Type: replace Abstract: The Web3 ecosystem, underpinned by cryptographic primitives and decentralized consensus, represents a high-stakes environment where software vulnera…

arXiv Security Read →
◬ AI & Machine Learning Jun 29, 2026
Cyber security of OT networks: A tutorial and overview

arXiv:2502.14017v3 Announce Type: replace Abstract: This manuscript explores the cybersecurity challenges of Operational Technology (OT) networks, focusing on their critical role in industrial environ…

arXiv Security Read →
◬ AI & Machine Learning Jun 29, 2026
A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography

arXiv:2412.19652v5 Announce Type: replace Abstract: Linguistic steganography embeds secret information into seemingly innocuous text to safeguard privacy under surveillance. Generative linguistic steg…

arXiv Security Read →
◬ AI & Machine Learning Jun 29, 2026
How Humans, Bots, and Agents Communicate About Vulnerabilities in Pull Requests

arXiv:2606.28125v1 Announce Type: cross Abstract: Developers may reference vulnerabilities in pull request discussions through both explicit identifiers, such as CVEs or GHSAs, and implicit security-r…

arXiv Security Read →
◬ AI & Machine Learning Jun 29, 2026
Quantum Multi-Party Threshold Private Set Intersection with Explicit Cardinality Testing

arXiv:2606.27996v1 Announce Type: cross Abstract: Threshold private set intersection (TPSI) allows parties to reveal their intersection only when its cardinality reaches a prescribed threshold. Existi…

arXiv Security Read →
◬ AI & Machine Learning Jun 29, 2026
Verifiable and Collusion-Resistant Multi-Party Quantum Private Set Operations

arXiv:2606.27994v1 Announce Type: cross Abstract: Threshold private set intersection (TPSI) allows parties to reveal their intersection only when its cardinality reaches a prescribed threshold. Existi…

arXiv Security Read →
◬ AI & Machine Learning Jun 29, 2026
Transversal Difference Numbers in Finite Abelian Quotients

arXiv:2606.27961v1 Announce Type: cross Abstract: Given \(H\leq G\) finite abelian groups, a transversal \(T\subseteq G\) for \(G/H\) has fixed size \(|G/H|\), but its ambient difference support \(D(T…

arXiv Security Read →
◬ AI & Machine Learning Jun 29, 2026
RAMSES: Secure high-performance computing for sensitive data

arXiv:2606.27919v1 Announce Type: cross Abstract: Traditionally, the architecture of high-performance computing (HPC) systems is tailored for speed, while highly secure computer systems must sacrifice…

arXiv Security Read →
◬ AI & Machine Learning Jun 29, 2026
ToE: A Hierarchical and Explainable Claim Verification Framework with Dynamic Multi-source Evidence Retrieval and Aggregation

arXiv:2606.27736v1 Announce Type: cross Abstract: The rapid spread of fake news poses increasing threats to information ecosystems, especially as AI-generated misinformation under Generative Engine Op…

arXiv Security Read →
◬ AI & Machine Learning Jun 29, 2026
Room for Error: Large-Scale Simulation of Over-the-Air Acoustic Attacks

arXiv:2606.27701v1 Announce Type: cross Abstract: While voice control is rapidly becoming a ubiquitous vector of human-AI communication, the risks facing these systems remain poorly understood. This i…

arXiv Security Read →
◬ AI & Machine Learning Jun 29, 2026
What Was That Again? Certified Robustness for Automatic Speech Recognition

arXiv:2606.27698v1 Announce Type: cross Abstract: Automatic Speech Recognition systems are notoriously both sensitive to adversarial and benign perturbations. While this has been repeatedly demonstrat…

arXiv Security Read →
← Prev 2 / 189 Next →