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◬ AI & Machine Learning May 20, 2026
Quantum Machine Learning for Cyber-Physical Anomaly Detection in Unmanned Aerial Vehicles: A Leakage-Free Evaluation with Proxy-Audited Feature Sets

arXiv:2605.19233v1 Announce Type: new Abstract: Unmanned aerial vehicles (UAVs) are cyber-physical systems whose attack surface spans networked avionics and on-board sensor fusion: a compromised GPS o…

arXiv Security Read →
◬ AI & Machine Learning May 20, 2026
Devilray: A Systematic Adversarial Model Revealing Blind Spots in Fake Base Station Detection

arXiv:2605.19232v1 Announce Type: new Abstract: Fake Base Station (FBS) detection has been a critical focus of cellular security research for over two decades. However, significant financial and regul…

arXiv Security Read →
◬ AI & Machine Learning May 20, 2026
Token by Token, Compromised: Backdoor Vulnerabilities in Unified Autoregressive Models

arXiv:2605.19227v1 Announce Type: new Abstract: Unified autoregressive models (UAMs) are transformer models that generate text as well as image tokens within a single autoregressive pass. Shared param…

arXiv Security Read →
◬ AI & Machine Learning May 20, 2026
On the Geometric Limits of Transformer Defenses against Obfuscation Attacks: Latent Embedding Collapse & Performance Robustness Gap

arXiv:2605.19159v1 Announce Type: new Abstract: Prompt injection attacks pose significant risks to language model safety, yet existing defenses are typically evaluated using classification performance…

arXiv Security Read →
◬ AI & Machine Learning May 20, 2026
Be Kind, Rewrite: Benign Projections via Rewriting Defend Against LLM Data Poisoning Attacks

arXiv:2605.19147v1 Announce Type: new Abstract: Large language models (LLMs) are highly susceptible to backdoor attacks (BAs), wherein training samples are poisoned using trigger-based harmful content…

arXiv Security Read →
◬ AI & Machine Learning May 20, 2026
Structural Analysis of Cryptographic Sequences using Stringology-Based Fingerprinting

arXiv:2605.19123v1 Announce Type: new Abstract: Cryptographic primitives such as stream ciphers,Pseudorandom Number Generators (PRNGs), and block cipher modes produce sequences that are designed to be…

arXiv Security Read →
◬ AI & Machine Learning May 20, 2026
Agent Security is a Systems Problem

arXiv:2605.18991v1 Announce Type: new Abstract: We take the position that agent security must be approached as a systems problem: the AI model powering the agent must be treated as an untrusted compon…

arXiv Security Read →
◬ AI & Machine Learning May 20, 2026
Surviving the Unseen: Predictive Defense for Novel Multi-Turn Multimodal Attacks

arXiv:2605.18988v1 Announce Type: new Abstract: The expansion of Multimodal Large Language Models (MLLMs) and their integration into autonomous agentic workflows has introduced a non-stationary attack…

arXiv Security Read →
◬ AI & Machine Learning May 20, 2026
OEP: Poisoning Self-Evolving LLM Agents via Locally Correct but Non-Transferable Experiences

arXiv:2605.18930v1 Announce Type: new Abstract: Memory-augmented large language model (LLM) agents use iterative reflection and self-evolution to solve complex tasks, but these mechanisms introduce se…

arXiv Security Read →
◬ AI & Machine Learning May 20, 2026
MoCo-EA: Exploiting Adversarial Mode Connectivity for Efficient Evolutionary Attacks

arXiv:2605.18919v1 Announce Type: new Abstract: Evolutionary algorithms for adversarial attacks leverage population-based search to discover perturbations without gradient information, but suffer from…

arXiv Security Read →
◬ AI & Machine Learning May 20, 2026
ESLD (External Surrogate Latent Defense): A Latent-Space Architecture for Faster, Stronger Prompt-Injection Defense

arXiv:2605.18918v1 Announce Type: new Abstract: Modern AI assistants are agentic. To answer a single user request, the underlying language model pulls in information from many sources, such as web sea…

arXiv Security Read →
◬ AI & Machine Learning May 20, 2026
DMN: A Compositional Framework for Jailbreaking Multimodal LLMs with Multi-Image Inputs

arXiv:2605.18915v1 Announce Type: new Abstract: Multimodal Large Language Models (MLLMs) are vulnerable to jailbreak attacks, which can elicit harmful responses from MLLMs. Many MLLMs support multi-im…

arXiv Security Read →
◬ AI & Machine Learning May 20, 2026
SCAFDS: Edge-Feature Graph Attention for Interbank Fraud Detection with Attribution-Grounded SAR Generation

arXiv:2605.18913v1 Announce Type: new Abstract: The U.S. financial system processes approximately 1.3 million interbank transactions daily, yet no system in the reviewed literature models fraud propag…

arXiv Security Read →
◬ AI & Machine Learning May 20, 2026
Fast and Lightweight Backdoor Detection via Head Random Probing

arXiv:2605.18908v1 Announce Type: new Abstract: Deep neural networks (DNNs) remain critically vulnerable to backdoor attacks. Existing post-training detectors often require clean or surrogate data, gr…

arXiv Security Read →
◬ AI & Machine Learning May 20, 2026
Lightweight and Fast Backdoor Model Detection

arXiv:2605.18907v1 Announce Type: new Abstract: Deep neural networks (DNN), despite their remarkable performance, are highly vulnerable to backdoor attacks. Existing defenses mainly rely on activation…

arXiv Security Read →
◬ AI & Machine Learning May 20, 2026
Towards Zero Trust Architecture: A Pilot Study on Information Systems Security Readiness amongst Small and Medium Enterprises

arXiv:2605.18901v1 Announce Type: new Abstract: Small and medium enterprises (SMEs) face growing cyber threats but often lack the resources and expertise needed to adopt Zero Trust Architecture (ZTA).…

arXiv Security Read →
◬ AI & Machine Learning May 20, 2026
GenAI-FDIA: Physics-Informed Generative Models for False Data Injection Attacks

arXiv:2605.18873v1 Announce Type: new Abstract: Training and evaluating false data injection attack (FDIA) detectors for power systems is constrained by data scarcity. Operational grid measurements ar…

arXiv Security Read →
◬ AI & Machine Learning May 20, 2026
DarkLLM: Learning Language-Driven Adversarial Attacks with Large Language Models

arXiv:2605.18868v1 Announce Type: new Abstract: While vision and multimodal foundation models underpin critical tasks from perception to complex reasoning, they remain highly vulnerable to adversarial…

arXiv Security Read →
◬ AI & Machine Learning May 20, 2026
Decentralized autonomous organization and blockchain-based incentivization framework for community-based facilities management

arXiv:2605.18773v1 Announce Type: new Abstract: Traditional facility management often relies on centralized decision-making structures that limit stakeholder participation, leading to misalignment wit…

arXiv Security Read →
⬡ Vulnerabilities & CVEs May 20, 2026
CVE-2026-45585 | Microsoft Windows 11 24H2/11 25H2/11 26H1/Server 2025 YellowKey command injection

A vulnerability categorized as critical has been discovered in Microsoft Windows 11 24H2/11 25H2/11 26H1/Server 2025 . Affected by this issue is some unknown functionality. Executing a manipulation ca…

VulDB Read →
◉ Threat Intelligence May 20, 2026
ISC Stormcast For Wednesday, May 20th, 2026 https://isc.sans.edu/podcastdetail/9938, (Wed, May 20th)
SANS ISC Read →
◇ Industry News & Leadership May 20, 2026
GitHub Source Code Breach – TeamPCP Claims Access to Internal Source Code

A notorious threat actor operating under the alias TeamPCP claims to have breached GitHub’s internal systems, allegedly exfiltrating proprietary organization data and source code. The attackers are of…

Cybersecurity News Read →
◇ Industry News & Leadership May 20, 2026
ShinyHunters Claims Credit for Cyber-Attack on Online Learning Management System

A recent cyberattack targeting an online Learning Management System (LMS) has been attributed to the notorious cybercriminal group ShinyHunters. The incident caused widespread service disruptions affe…

Cybersecurity News Read →
◇ Industry News & Leadership May 20, 2026
Microsoft disrupts malware code-signing service used by ransomware gangs

Microsoft has disrupted the infrastructure powering the largest malware code-signing service used to help ransomware groups and other cybercriminals make malicious programs harder to detect on Windows…

CSO Online Read →
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