CyberIntel ⬡ News
★ Saved ◆ Cyber Reads

// AI & Machine Learning
Intel Feed

cyberintel.kalymoon.com  ·  2890 articles  ·  updated every 4 hours · grows forever

2890Total
2846Full Text
May 20, 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 Mar 25, 2026
Robust Safety Monitoring of Language Models via Activation Watermarking

arXiv:2603.23171v1 Announce Type: new Abstract: Large language models (LLMs) can be misused to reveal sensitive information, such as weapon-making instructions or writing malware. LLM providers rely o…

arXiv Security Read →
◬ AI & Machine Learning Mar 25, 2026
TRAP: Hijacking VLA CoT-Reasoning via Adversarial Patches

arXiv:2603.23117v1 Announce Type: new Abstract: By integrating Chain-of-Thought(CoT) reasoning, Vision-Language-Action (VLA) models have demonstrated strong capabilities in robotic manipulation, parti…

arXiv Security Read →
◬ AI & Machine Learning Mar 25, 2026
Mind Your HEARTBEAT! Claw Background Execution Inherently Enables Silent Memory Pollution

arXiv:2603.23064v1 Announce Type: new Abstract: We identify a critical security vulnerability in mainstream Claw personal AI agents: untrusted content encountered during heartbeat-driven background ex…

arXiv Security Read →
◬ AI & Machine Learning Mar 25, 2026
RTS-ABAC: Real-Time Server-Aided Attribute-Based Authorization & Access Control for Substation Automation Systems

arXiv:2603.23012v1 Announce Type: new Abstract: Critical energy infrastructures increasingly rely on information and communication technology for monitoring and control, which leads to new challenges …

arXiv Security Read →
◬ AI & Machine Learning Mar 25, 2026
AgentRAE: Remote Action Execution through Notification-based Visual Backdoors against Screenshots-based Mobile GUI Agents

arXiv:2603.23007v1 Announce Type: new Abstract: The rapid adoption of mobile graphical user interface (GUI) agents, which autonomously control applications and operating systems (OS), exposes new syst…

arXiv Security Read →
◬ AI & Machine Learning Mar 25, 2026
Multi-User Multi-Key Image Steganography with Key Isolation

arXiv:2603.23005v1 Announce Type: new Abstract: Steganography conceals secret information within innocuous carriers while preserving visual fidelity and enabling reliable recovery. Recent unified netw…

arXiv Security Read →
◬ AI & Machine Learning Mar 25, 2026
A Critical Review on the Effectiveness and Privacy Threats of Membership Inference Attacks

arXiv:2603.22987v1 Announce Type: new Abstract: Membership inference attacks (MIAs) aim to determine whether a data sample was included in a machine learning (ML) model's training set and have become …

arXiv Security Read →
◬ AI & Machine Learning Mar 25, 2026
How Far Should We Need to Go : Evaluate Provenance-based Intrusion Detection Systems in Industrial Scenarios

arXiv:2603.22982v1 Announce Type: new Abstract: Provenance-based Intrusion Detection Systems (PIDSes) have been widely used to detect Advanced Persistent Threats (APTs). Although many studies achieve …

arXiv Security Read →
◬ AI & Machine Learning Mar 25, 2026
Beyond Theoretical Bounds: Empirical Privacy Loss Calibration for Text Rewriting Under Local Differential Privacy

arXiv:2603.22968v1 Announce Type: new Abstract: The growing use of large language models has increased interest in sharing textual data in a privacy-preserving manner. One prominent line of work addre…

arXiv Security Read →
◬ AI & Machine Learning Mar 25, 2026
Privacy-Preserving EHR Data Transformation via Geometric Operators: A Human-AI Co-Design Technical Report

arXiv:2603.22954v1 Announce Type: new Abstract: Electronic health records (EHRs) and other real-world clinical data are essential for clinical research, medical artificial intelligence, and life scien…

arXiv Security Read →
◬ AI & Machine Learning Mar 25, 2026
SoK: The Attack Surface of Agentic AI -- Tools, and Autonomy

arXiv:2603.22928v1 Announce Type: new Abstract: Recent AI systems combine large language models with tools, external knowledge via retrieval-augmented generation (RAG), and even autonomous multi-agent…

arXiv Security Read →
◬ AI & Machine Learning Mar 25, 2026
Agent-Sentry: Bounding LLM Agents via Execution Provenance

arXiv:2603.22868v1 Announce Type: new Abstract: Agentic computing systems, which autonomously spawn new functionalities based on natural language instructions, are becoming increasingly prevalent. Whi…

arXiv Security Read →
◬ AI & Machine Learning Mar 25, 2026
Agent Audit: A Security Analysis System for LLM Agent Applications

arXiv:2603.22853v1 Announce Type: new Abstract: What should a developer inspect before deploying an LLM agent: the model, the tool code, the deployment configuration, or all three? In practice, many s…

arXiv Security Read →
◬ AI & Machine Learning Mar 25, 2026
Combinatorial Privacy: Private Multi-Party Bitstream Grand Sum by Hiding in Birkhoff Polytopes

arXiv:2603.22808v1 Announce Type: new Abstract: We introduce PolyVeil, a protocol for private Boolean summation across $k$ clients that encodes private bits as permutation matrices in the Birkhoff pol…

arXiv Security Read →
◬ AI & Machine Learning Mar 25, 2026
Explainable Threat Attribution for IoT Networks Using Conditional SHAP and Flow Behavior Modelling

arXiv:2603.22771v1 Announce Type: new Abstract: As the Internet of Things (IoT) continues to expand across critical infrastructure, smart environments, and consumer devices, securing them against cybe…

arXiv Security Read →
◬ AI & Machine Learning Mar 25, 2026
CIPL: A Target-Independent Framework for Channel-Inversion Privacy Leakage in Agents

arXiv:2603.22751v1 Announce Type: new Abstract: Large language model (LLM) agents may expose sensitive information through more than their final textual responses. Whenever private content is internal…

arXiv Security Read →
◬ AI & Machine Learning Mar 25, 2026
Does Teaming-Up LLMs Improve Secure Code Generation? A Comprehensive Evaluation with Multi-LLMSecCodeEval

arXiv:2603.22717v1 Announce Type: new Abstract: Automatically generating source code from natural language using large language models (LLMs) is becoming common, yet security vulnerabilities persist d…

arXiv Security Read →
◬ AI & Machine Learning Mar 25, 2026
BlindMarket: Enabling Verifiable, Confidential, and Traceable IP Core Distribution in Zero-Trust Settings

arXiv:2603.22685v1 Announce Type: new Abstract: We present BlindMarket, an end-to-end zero-trust distribution framework for hardware IP cores. BlindMarket allows two parties, the IP user and the IP ve…

arXiv Security Read →
◬ AI & Machine Learning Mar 25, 2026
BioShield: A Context-Aware Firewall for Securing Bio-LLMs

arXiv:2603.22612v1 Announce Type: new Abstract: The rapid advancement of Large Language Models (LLMs) in biological research has significantly lowered the barrier to accessing complex bioinformatics k…

arXiv Security Read →
◬ AI & Machine Learning Mar 25, 2026
Semi-Automated Threat Modeling of Cloud-Based Systems Through Extracting Software Architecture from Configuration and Network Flow

arXiv:2603.22603v1 Announce Type: new Abstract: Traditional threat modeling occurs during design, but cloud deployments introduce unanticipated threats, especially multi-stage attacks chaining vulnera…

arXiv Security Read →
◬ AI & Machine Learning Mar 25, 2026
STRIATUM-CTF: A Protocol-Driven Agentic Framework for General-Purpose CTF Solving

arXiv:2603.22577v1 Announce Type: new Abstract: Large Language Models (LLMs) have demonstrated potential in code generation, yet they struggle with the multi-step, stateful reasoning required for offe…

arXiv Security Read →
◬ AI & Machine Learning Mar 25, 2026
CTF as a Service: A reproducible and scalable infrastructure for cybersecurity training

arXiv:2603.22511v1 Announce Type: new Abstract: Capture The Flag (CTF) competitions have established themselves as a highly effective pedagogical tool in cybersecurity education, offering students han…

arXiv Security Read →
◬ AI & Machine Learning Mar 25, 2026
OrgForge-IT: A Verifiable Synthetic Benchmark for LLM-Based Insider Threat Detection

arXiv:2603.22499v1 Announce Type: new Abstract: Synthetic insider threat benchmarks face a consistency problem: corpora generated without an external factual constraint cannot rule out cross-artifact …

arXiv Security Read →
◬ AI & Machine Learning Mar 25, 2026
Model Context Protocol Threat Modeling and Analyzing Vulnerabilities to Prompt Injection with Tool Poisoning

arXiv:2603.22489v1 Announce Type: new Abstract: The Model Context Protocol (MCP) has rapidly emerged as a universal standard for connecting AI assistants to external tools and data sources. While MCP …

arXiv Security Read →
← Prev 91 / 121 Next →