CyberIntel ⬡ News
★ Saved ◆ Cyber Reads

// AI & Machine Learning
Intel Feed

cyberintel.kalymoon.com  ·  6373 articles  ·  updated every 4 hours · grows forever

6373Total
6317Full Text
Aug 14, 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 Aug 10, 2026
LoRAScan: Detecting Backdoor Prompts in Low-Rank Adapters for Large Language Models via Down-Projection Activation Spikes

arXiv:2608.06795v1 Announce Type: new Abstract: Low-rank adaptation (LoRA) enables efficient specialization and distribution of large language models through compact adapters. However, untrusted adapt…

arXiv Security Read →
◬ AI & Machine Learning Aug 10, 2026
Retrieval-Constrained Policy Optimization for Attack Technique Extraction from Cyber Threat Intelligence

arXiv:2608.06778v1 Announce Type: new Abstract: Mapping cyber threat intelligence (CTI) text to MITRE ATT&CK techniques is essential for structured threat analysis, yet manual annotation is costly and…

arXiv Security Read →
◬ AI & Machine Learning Aug 10, 2026
Tight Security for BBS Signatures

arXiv:2608.06724v1 Announce Type: new Abstract: This paper studies the concrete security of BBS signatures (Boneh, Boyen, Shacham, CRYPTO '04; Camenisch and Lysyanskaya, CRYPTO '04), a popular algebra…

arXiv Security Read →
◬ AI & Machine Learning Aug 10, 2026
Policy-Masked Private Experts: Auditable and Reversible Capability Access Control in Sparse MoE Models

arXiv:2608.06690v1 Announce Type: new Abstract: Most language-model access controls regulate behavior while leaving the same computation available to every request. We study a different systems questi…

arXiv Security Read →
◬ AI & Machine Learning Aug 10, 2026
CyberLLM: A Multi-Agent LLM Framework for Autonomous Detection and Guarded Response in Automotive Cybersecurity

arXiv:2608.06651v1 Announce Type: new Abstract: Software-Defined Vehicles (SDVs) expand the automotive attack surface across source code, runtime logs, and deployment topologies, while safety constrai…

arXiv Security Read →
◬ AI & Machine Learning Aug 10, 2026
From Documentation to Zero-day Vulnerabilities: LLM-Driven Fuzzing of JavaScript Engines in PDF Readers

arXiv:2608.06641v1 Announce Type: new Abstract: Existing fuzzers for PDF readers rely on simple test cases that involve only individual API calls, leading to limited coverage and potentially missing v…

arXiv Security Read →
◬ AI & Machine Learning Aug 10, 2026
WhiteNet: Robust Identification of Overlapping IEEE 802.11 Signals Across Unseen Channels

arXiv:2608.06581v1 Announce Type: new Abstract: Deep learning (DL) classifiers trained on I/Q samples achieve high accuracy for IEEE 802.11 protocol identification of overlapping signals, but their pe…

arXiv Security Read →
◬ AI & Machine Learning Aug 10, 2026
Model Confidence Under Answer-Preserving Attacks: An Informativeness-Manipulability Frontier

arXiv:2608.06571v1 Announce Type: new Abstract: Deployed vision-language systems often gate their answers on confidence, making confidence robustness relevant to oversight. We study confidence readout…

arXiv Security Read →
◬ AI & Machine Learning Aug 10, 2026
Canonicalization Failures as a Recurring Vulnerability Class: Representation Divergence in Cryptographic Systems and Its Avoidance

arXiv:2608.06508v1 Announce Type: new Abstract: Cryptographic systems operate on bytes but mean semantic objects. The translation between the two is rarely unique. Where this uniqueness is not enforce…

arXiv Security Read →
◬ AI & Machine Learning Aug 10, 2026
StepJack: Benchmarking Computer-Use Agent Safety Against Multi-Step Indirect Prompt Injection

arXiv:2608.06477v1 Announce Type: new Abstract: Computer-use agents (CUAs) face a growing threat from indirect prompt injection, where adversarial instructions are planted in the environment such as w…

arXiv Security Read →
◬ AI & Machine Learning Aug 10, 2026
CyberForge: Verified Vulnerability Injection at Repository Level for Cybersecurity Agent Training

arXiv:2608.06471v1 Announce Type: new Abstract: Despite recent advances, frontier large language model (LLM) agents remain limited in discovering and patching complex vulnerabilities in real-world sof…

arXiv Security Read →
◬ AI & Machine Learning Aug 10, 2026
Fairis: Fairness-Aware Aggregation with Provable Influence Containment against Fairness Poisoning Attacks in Collaborative Machine Learning

arXiv:2608.06469v1 Announce Type: new Abstract: Collaborative machine learning among financial institutions must be both group-fair and robust against deliberate adversarial manipulation. Existing fai…

arXiv Security Read →
◬ AI & Machine Learning Aug 10, 2026
WorldMark: A Plug-and-Play World Knowledge Interface for Cross-Host Language Model Watermarking

arXiv:2608.06416v1 Announce Type: new Abstract: Watermarking traces the provenance of text produced by large language models by embedding statistically detectable signals during decoding. Existing sch…

arXiv Security Read →
◬ AI & Machine Learning Aug 09, 2026
IBM’s 2026 Data Breach Report: 92% of AI Incidents Had No Access Controls - Cybersecurity Insiders

IBM’s 2026 Data Breach Report: 92% of AI Incidents Had No Access Controls Cybersecurity Insiders

Cybersecurity Insiders Read →
◬ AI & Machine Learning Aug 09, 2026
ESET showcases cutting-edge AI Security at Black Hat 2026 - ESET

ESET showcases cutting-edge AI Security at Black Hat 2026 ESET

ESET Read →
◬ AI & Machine Learning Aug 08, 2026
Startup Focused on Enterprise AI Security Valued at $1.2B - AI Business

Startup Focused on Enterprise AI Security Valued at $1.2B AI Business

AI Business Read →
◬ AI & Machine Learning Aug 08, 2026
The Four AI Security Myths Leaving Enterprises Exposed - Cybersecurity Insiders

The Four AI Security Myths Leaving Enterprises Exposed Cybersecurity Insiders

Cybersecurity Insiders Read →
◬ AI & Machine Learning Aug 08, 2026
Small Foundation Models of Human Cognition and Behaviour

arXiv:2608.05224v1 Announce Type: new Abstract: Large language models fine-tuned on human behavioural data have emerged as general-purpose cognitive proxies, but the scale this requires, and whether t…

arXiv AI Read →
◬ AI & Machine Learning Aug 08, 2026
When Privileged Guidance Misaligns: State-Matched Routing and Contextualized Self-Distillation for Multi-Turn Agents

arXiv:2608.05219v1 Announce Type: new Abstract: Privileged on-policy distillation provides dense supervision for multi-turn agents by allowing a synchronized teacher to re-score the student's response…

arXiv AI Read →
◬ AI & Machine Learning Aug 08, 2026
PD-GS: Phoneme-Driven 3DGS for Audio-Driven Talking Heads

arXiv:2608.05218v1 Announce Type: new Abstract: 3D Gaussian Splatting (3DGS) enables fast, photorealistic talking-head rendering, yet accurate lip articulation remains elusive: mouth motion is often o…

arXiv AI Read →
◬ AI & Machine Learning Aug 08, 2026
SearchAuditor: Auditing and Attributing Failures in Long-Horizon Search Agents

arXiv:2608.05212v1 Announce Type: new Abstract: Deep search agents tackle challenging questions through long-horizon web interactions, a process that is both complex and fragile: small reasoning error…

arXiv AI Read →
◬ AI & Machine Learning Aug 08, 2026
Otter: A Time-Aware, History-Conditioned Human Chess AI

arXiv:2608.05206v1 Announce Type: new Abstract: Otter is a 15.3M-parameter human chess AI that predicts human move selection by modeling play as a time-aware, sequential process rather than treating e…

arXiv AI Read →
◬ AI & Machine Learning Aug 08, 2026
Abstract Event Causal Rules: Induction and Application

arXiv:2608.05205v1 Announce Type: new Abstract: Event-centric intelligent analytical systems heavily depend on explicit causal event knowledge for risk early warning, decision-making support and narra…

arXiv AI Read →
◬ AI & Machine Learning Aug 08, 2026
SkillTrace: Multi-Trace Provenance Auditing for LLM-Agent Skill Reuse

arXiv:2608.05204v1 Announce Type: new Abstract: LLM-agent ecosystems are rapidly growing around reusable skills: mixed-modality packages of metadata, natural-language instructions, code, tools, refere…

arXiv AI Read →
← Prev 9 / 266 Next →