CyberIntel ⬡ News
★ Saved ◆ Cyber Reads

// AI & Machine Learning
Intel Feed

cyberintel.kalymoon.com  ·  4773 articles  ·  updated every 4 hours · grows forever

4773Total
4732Full Text
Jul 03, 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 May 29, 2026
Behavior-Induced Mirror-Prox Temporal-Difference Learning for Faster Off-Policy Prediction

arXiv:2605.28849v1 Announce Type: new Abstract: Gradient temporal-difference methods provide stable off-policy prediction with linear function approximation, but their practical performance is strongl…

arXiv AI Read →
◬ AI & Machine Learning May 29, 2026
Scarcity Is Not Enough: An Impossibility Result for Linear Sybil Cost Under Parallelizable Resources

arXiv:2605.29651v1 Announce Type: new Abstract: Permissionless systems resist Sybil attacks by binding influence to scarce resources. We show that scarcity alone is insufficient: the structural proper…

arXiv Security Read →
◬ AI & Machine Learning May 29, 2026
Control Flow Graph Recovery for Dynamically Loaded Code via Symbolic Library Resolution

arXiv:2605.29620v1 Announce Type: new Abstract: Control Flow Graphs are one of the main data sources for software analysis that use dynamic and static software analysis methods. Protected software and…

arXiv Security Read →
◬ AI & Machine Learning May 29, 2026
LoRA-Key: User-Centric LoRA Watermarking for Text-to-Image Diffusion Models

arXiv:2605.29569v1 Announce Type: new Abstract: Low-Rank Adaptation (LoRA) has become a widely used mechanism for customizing text-to-image diffusion models, enabling lightweight modules that are shar…

arXiv Security Read →
◬ AI & Machine Learning May 29, 2026
Temporal Motif-aware Graph Test-time Adaptation for OOD Blockchain Anomaly Detection

arXiv:2605.29526v1 Announce Type: new Abstract: Ever-evolving transaction patterns have significantly hindered anomaly detection on emerging cryptocurrency blockchains due to the vast number of addres…

arXiv Security Read →
◬ AI & Machine Learning May 29, 2026
KBF: Knowledge Boundary as Fingerprint for Language Model and Black-Box API Auditing

arXiv:2605.29524v1 Announce Type: new Abstract: Relay and reseller APIs increasingly intermediate access to large language models (LLMs), but users have no direct way to verify that a claimed endpoint…

arXiv Security Read →
◬ AI & Machine Learning May 29, 2026
SciIntBench: Measuring LLM Compliance with Research Integrity Norms Under Adversarial Framing

arXiv:2605.29468v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used to support scientific work, but it is unclear whether they uphold responsible conduct of research (RC…

arXiv Security Read →
◬ AI & Machine Learning May 29, 2026
Bridging Theory and Practice: An Executable Taxonomy of Security Properties for ProVerif and Tamarin

arXiv:2605.29465v1 Announce Type: new Abstract: Security is critical for everything relying on modern digital systems. Because almost all digital interactions are governed by the Internet and cryptogr…

arXiv Security Read →
◬ AI & Machine Learning May 29, 2026
Protecting On-Device AI Inference: A Systematic Review of Attacks and Defence Mechanisms

arXiv:2605.29450v1 Announce Type: new Abstract: The need for secure and private Artificial Intelligence (AI) and Machine Learning (ML) on edge and mobile devices has increased the necessity of protect…

arXiv Security Read →
◬ AI & Machine Learning May 29, 2026
AliMark: Enhancing Robustness of Sentence-Level Watermarking Against Text Paraphrasing

arXiv:2605.29434v1 Announce Type: new Abstract: Existing sentence-level watermarking methods enhance robustness to paraphrasing by anchoring watermarks in sentence semantics. However, their prefix-bas…

arXiv Security Read →
◬ AI & Machine Learning May 29, 2026
Harmless Yet Harmful: Neutral Prompting Attacks for Stealthy Hallucination Steering in Agent Skills

arXiv:2605.29354v1 Announce Type: new Abstract: LLM-powered coding agents increasingly participate in software development workflows by generating code, selecting dependencies, and producing package i…

arXiv Security Read →
◬ AI & Machine Learning May 29, 2026
DeepFake Forensics AI: A Multi-Modal Detection and Blockchain-Anchored Evidence Management Platform

arXiv:2605.29353v1 Announce Type: new Abstract: The proliferation of AI-generated synthetic media poses a critical threat to the integrity of digital evidence in legal and forensic contexts. Existing …

arXiv Security Read →
◬ AI & Machine Learning May 29, 2026
HunterAgent: Neuro-Symbolic Attack Trace Reconstruction under Anti-Forensics

arXiv:2605.29269v1 Announce Type: new Abstract: Modern alert-triage systems reduce SOC burden by filtering false positives, but flagging a high-risk alert is only the start of incident response. Threa…

arXiv Security Read →
◬ AI & Machine Learning May 29, 2026
Implicit Identity Technologies for LLMs: Fingerprinting and Watermarking across Datasets, Models, and Generated Content

arXiv:2605.29245v1 Announce Type: new Abstract: This paper presents a survey and taxonomy of LLM fingerprinting and watermarking for identity, ownership verification, provenance, and generated-content…

arXiv Security Read →
◬ AI & Machine Learning May 29, 2026
Evolving Skill-Structured Attack Memory Enhances LLM Jailbreaking

arXiv:2605.29237v1 Announce Type: new Abstract: Jailbreak attacks on large language models (LLMs) aim to induce LLMs to produce content that they are expected to refuse. Automated black-box jailbreak …

arXiv Security Read →
◬ AI & Machine Learning May 29, 2026
S3C2 Summit 2025-09: Industry Secure Supply Chain Summit

arXiv:2605.29226v1 Announce Type: new Abstract: Today's digital ecosystem relies heavily on software supply chains, which enable developers to reuse code and ship software at scale. However, a single …

arXiv Security Read →
◬ AI & Machine Learning May 29, 2026
SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices

arXiv:2605.29210v1 Announce Type: new Abstract: The growing integration of artificial intelligence (AI) and machine learning (ML) in medical systems requires effective measures to address emerging sec…

arXiv Security Read →
◬ AI & Machine Learning May 29, 2026
The Best-Laid SCHEMEs: Coordinated Sabotage and Monitoring in Multi-Agent Systems

arXiv:2605.29178v1 Announce Type: new Abstract: As agentic coding systems decompose work across multiple model instances, a critical safety question is whether those instances can coordinate to achiev…

arXiv Security Read →
◬ AI & Machine Learning May 29, 2026
EvaluatAR: A Cross-Device Evaluation Framework for Rapid Prototyping of Bystander PETs in AR

arXiv:2605.29177v1 Announce Type: new Abstract: Augmented Reality (AR) headsets continuously sense their surroundings, capturing nearby bystanders and raising privacy risks. Visual bystander privacy-e…

arXiv Security Read →
◬ AI & Machine Learning May 29, 2026
Domain-Informed Representation for Evolutionary Sieving in Integral and Module Lattices

arXiv:2605.29169v1 Announce Type: new Abstract: Traditional cryptography, rooted in problems, e.g., integer factorisation or discrete log, is inevitably vulnerable to a fully operational quantum compu…

arXiv Security Read →
◬ AI & Machine Learning May 29, 2026
S3C2 Summit 2025-07: Government Secure Supply Chain Summit

arXiv:2605.29140v1 Announce Type: new Abstract: Software supply chains, while providing immense economic and software development value, are only as strong as their weakest link. Over the past several…

arXiv Security Read →
◬ AI & Machine Learning May 29, 2026
Techreport: Evaluating Tor-based Location Privacy for Ethereum Validators

arXiv:2605.29131v1 Announce Type: new Abstract: Privacy and anonymity of validators, especially regarding IP address linkability, are essential to protect the Ethereum network from various attacks. Ne…

arXiv Security Read →
◬ AI & Machine Learning May 29, 2026
unix-ctf: Procedural Environments for Unix-Competence Reinforcement Learning

arXiv:2605.29115v1 Announce Type: new Abstract: Unix competence is the ability to use shell and operating-system primitives as first-class tools, not merely to write programs through a terminal. Curre…

arXiv Security Read →
◬ AI & Machine Learning May 29, 2026
ReasonBreak: Probing Vulnerabilities in Reasoning-Enabled Vision-Language-Action Models for Autonomous Driving

arXiv:2605.29114v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models with integrated reasoning have been proposed for end-to-end autonomous driving, assuming a tight coupling between re…

arXiv Security Read →
← Prev 63 / 199 Next →