◬ AI & Machine Learning
Jun 06, 2026
Thousand Token Wood: shipping a multi-agent economy on a 3B model
Hugging Face
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cyberintel.kalymoon.com · 4742 articles · updated every 4 hours · grows forever
Here are Google’s latest AI updates from May 2026
On June 5, 404 Media reported that attackers had been using Meta’s AI customer support agent to steal Instagram accounts. Their approach was simple: They asked the agent to link the accounts to email …
arXiv:2606.06013v1 Announce Type: new Abstract: Cheating poses a significant threat to the Multiplayer Online Games (MOG) industry by degrading player satisfaction and undermining the fairness in comp…
arXiv:2606.05986v1 Announce Type: new Abstract: Existing learning-based detectors for Solidity smart-contracts reduce vulnerability detection to syntactic pattern matching within single functions, yet…
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: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: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: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: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: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:2606.05787v1 Announce Type: new Abstract: Protecting proprietary RAG databases from unauthorized redistribution is challenging: existing watermarking methods either inject fabricated relations b…
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: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: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: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: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: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: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: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: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: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: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: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…