CyberIntel ⬡ News
★ Saved ◆ Cyber Reads

// AI & Machine Learning
Intel Feed

cyberintel.kalymoon.com  ·  4713 articles  ·  updated every 4 hours · grows forever

4713Total
4672Full Text
Jul 02, 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 05, 2026
Exploring the connection between coding habits and cognitive styles in malware developers

arXiv:2606.05945v1 Announce Type: new Abstract: Malware research primarily studies the results, the methods, and the impact. Even from an offensive security perspective, what is examined is the method…

arXiv Security Read →
◬ AI & Machine Learning Jun 05, 2026
PriSrv+: Privacy and Usability-Enhanced Wireless Service Discovery with Fast and Expressive Matchmaking Encryption

arXiv:2606.05902v1 Announce Type: new Abstract: Service discovery is a fundamental process in wireless networks, enabling devices to find and communicate with services dynamically, and is critical for…

arXiv Security Read →
◬ AI & Machine Learning Jun 05, 2026
GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks

arXiv:2606.05844v1 Announce Type: new Abstract: Rule-based Intrusion Detection and Prevention Systems (IDPS) offer precise attack detection as well as mitigation, however their manually crafted, signa…

arXiv Security Read →
◬ AI & Machine Learning Jun 05, 2026
Towards Worst-case Hardness for Low-Noise LPN

arXiv:2606.05834v1 Announce Type: new Abstract: The hardness of the Learning Parity with Noise (LPN) problem is a foundational assumption in cryptography, forming the basis of constructions ranging fr…

arXiv Security Read →
◬ AI & Machine Learning Jun 05, 2026
PriSrv: Privacy-Enhanced and Highly Usable Service Discovery in Wireless Communications

arXiv:2606.05821v1 Announce Type: new Abstract: Service discovery is essential in wireless communications. However, existing protocols provide limited privacy protection, leaking sensitive device info…

arXiv Security Read →
◬ AI & Machine Learning Jun 05, 2026
GCD: Garbled, Corrected, Demonstrandum -- Fixing and Proving Go's Extended GCD Implementation

arXiv:2606.05796v1 Announce Type: new Abstract: We verify the 'extendedGCD' implementation in Go's standard library ('crypto/internal/fips140/bigmod'), which plays a crucial role in the generation of …

arXiv Security Read →
◬ AI & Machine Learning Jun 05, 2026
SentinelRAG: Synthetic Sentinel Knowledge for RAG Database Copyright Protection

arXiv:2606.05787v1 Announce Type: new Abstract: Protecting proprietary RAG databases from unauthorized redistribution is challenging: existing watermarking methods either inject fabricated relations b…

arXiv Security Read →
◬ AI & Machine Learning Jun 05, 2026
TinyML-Driven Cybersecurity for Autonomous Spacecraft: Latency-Accuracy Analysis for SPARTA RF and Cyber Threat Detection

arXiv:2606.05779v1 Announce Type: new Abstract: Autonomous spacecraft require rapid, lightweight, and reliable onboard detection of cyber-RF threats. Using the SPARTA attack model, we analyze the late…

arXiv Security Read →
◬ AI & Machine Learning Jun 05, 2026
An Improved CNN-LSTM Based Intrusion Detection System for IoT Networks

arXiv:2606.05776v1 Announce Type: new Abstract: With the rapid proliferation of IoT devices, security concerns have dramatically escalated and intrusion detection systems have become critical for prot…

arXiv Security Read →
◬ AI & Machine Learning Jun 05, 2026
Membrane: A Self-Evolving Contrastive Safety Memory for LLM Agent Defense

arXiv:2606.05743v1 Announce Type: new Abstract: Despite advances in safety alignment, large language models remain vulnerable to continuously evolving jailbreaks. Existing fine-tuned safety classifier…

arXiv Security Read →
◬ AI & Machine Learning Jun 05, 2026
An Embarrassingly Simple Detector for Model Extraction Attacks in Large Language Model API Traffic

arXiv:2606.05725v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly deployed through hosted APIs, making model extraction a practical threat to model ownership and service se…

arXiv Security Read →
◬ AI & Machine Learning Jun 05, 2026
Hybrid CNN-LSTM Framework for Intelligent Cyber Attack Detection and Prevention in U.S. Critical Digital Infrastructure: A Comparative Machine Learning Evaluation on CSE-CIC-IDS2018

arXiv:2606.05714v1 Announce Type: new Abstract: Digital infrastructure is growing at a rapid pace in the United States, and as a result, exposure to advanced cyber threats to critical sectors includin…

arXiv Security Read →
◬ AI & Machine Learning Jun 05, 2026
Explainable AI-Driven Cyber Risk Analytics and Model Reliability Assessment for Intelligent Governance of U.S. Critical Infrastructure: An XGBoost and SHAP-Based Intrusion Detection Framework

arXiv:2606.05710v1 Announce Type: new Abstract: The increasing penetrations of the critical infrastructure sector in the United States with intelligent digital technologies have greatly increased expo…

arXiv Security Read →
◬ AI & Machine Learning Jun 05, 2026
Cognitive Threat Intelligence and Explainable Federated Security Analytics for distributed Infrastructure Systems

arXiv:2606.05701v1 Announce Type: new Abstract: The increasing adoption of distributed infrastructure systems, cloud computing, Internet of Things (IoT) technologies, and edge-based architectures has …

arXiv Security Read →
◬ AI & Machine Learning Jun 05, 2026
Protecting K-Nearest Neighbor Queries from Location Inference Attacks

arXiv:2606.05648v1 Announce Type: new Abstract: The k-nearest neighbor query (kNNQ) is a core component of modern location-based services (LBS) and has been widely adopted in popular features such as …

arXiv Security Read →
◬ AI & Machine Learning Jun 05, 2026
SlotGCG: Exploiting the Positional Vulnerability in LLMs for Jailbreak Attacks

arXiv:2606.05609v1 Announce Type: new Abstract: As large language models (LLMs) are widely deployed, identifying their vulnerability through jailbreak attacks becomes increasingly critical. Optimizati…

arXiv Security Read →
◬ AI & Machine Learning Jun 05, 2026
The Coverage Gap: Chile's Cyber Disclosure Framework versus the USA, EU and UK

arXiv:2606.05594v1 Announce Type: new Abstract: We introduce the Coverage Gap as a measurable distance between the observable public exposure of critical-infrastructure operators and their declared ca…

arXiv Security Read →
◬ AI & Machine Learning Jun 05, 2026
Dimensionality Reduction for Cyberattack Classification: A Comparative Evaluation of PCA and Linear Predictive Coding

arXiv:2606.05584v1 Announce Type: new Abstract: High-dimensional feature representations are widely used in machine learning-based cyberattack detection systems. However, they increase computational c…

arXiv Security Read →
◬ AI & Machine Learning Jun 05, 2026
ZERO-APT: A Closed-Loop Adversarial Framework for LLM-Driven Automated Penetration Testing under Intelligent Defense

arXiv:2606.05567v1 Announce Type: new Abstract: LLM-driven automated penetration testing agents are typically evaluated against static targets that neither detect nor respond to attacks, so their beha…

arXiv Security Read →
◬ AI & Machine Learning Jun 05, 2026
Bitcoin After Block Rewards

arXiv:2606.05503v1 Announce Type: new Abstract: Bitcoin's block reward is scheduled to decline to zero, raising concerns about whether the network can remain secure once miners rely solely on transact…

arXiv Security Read →
◬ AI & Machine Learning Jun 05, 2026
SHIELDS: Automating OS Hardening with Iterative Multi-Agent Remediation

arXiv:2606.05476v1 Announce Type: new Abstract: Security misconfigurations remain a leading cause of OS-level compromise, and manually keeping systems compliant with standards like Defense Information…

arXiv Security Read →
◬ AI & Machine Learning Jun 05, 2026
CRESS: Quantifying Vulnerabilities of Attack Scenarios in Hardware Reverse Engineering

arXiv:2606.05459v1 Announce Type: new Abstract: The safety, security, and reliability of microelectronic systems depend on a trustworthy, secured supply chain and design flow. Globally distributed sup…

arXiv Security Read →
◬ AI & Machine Learning Jun 05, 2026
Policy-Compliant Cloud Storage Systems

arXiv:2606.05423v1 Announce Type: new Abstract: Privacy regulations such as the General Data Protection Regulation (GDPR) impose strict requirements on how personal data is stored, processed, and audi…

arXiv Security Read →
◬ AI & Machine Learning Jun 05, 2026
A formal framework for the economic security of DeFi compositions

arXiv:2606.05418v1 Announce Type: new Abstract: Decentralized Finance (DeFi) services are usually constructed by composing a variety of smart contracts. While composability is a key driver of the succ…

arXiv Security Read →
← Prev 47 / 197 Next →