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◬ AI & Machine Learning Mar 19, 2026
Proof-of-Authorship for Diffusion-based AI Generated Content

arXiv:2603.17513v1 Announce Type: new Abstract: Recent advancements in AI-generated content (AIGC) have introduced new challenges in intellectual property protection and the authentication of generate…

arXiv Security Read →
◬ AI & Machine Learning Mar 19, 2026
DDH-based schemes for multi-party Function Secret Sharing

arXiv:2603.17453v1 Announce Type: new Abstract: Function Secret Sharing (FSS) schemes enable sharing efficiently secret functions. Schemes dedicated to point functions, referred to as Distributed Poin…

arXiv Security Read →
◬ AI & Machine Learning Mar 19, 2026
Caging the Agents: A Zero Trust Security Architecture for Autonomous AI in Healthcare

arXiv:2603.17419v1 Announce Type: new Abstract: Autonomous AI agents powered by large language models are being deployed in production with capabilities including shell execution, file system access, …

arXiv Security Read →
◬ AI & Machine Learning Mar 19, 2026
WebPII: Benchmarking Visual PII Detection for Computer-Use Agents

arXiv:2603.17357v1 Announce Type: new Abstract: Computer use agents create new privacy risks: training data collected from real websites inevitably contains sensitive information, and cloud-hosted inf…

arXiv Security Read →
◬ AI & Machine Learning Mar 19, 2026
Federated Computing as Code (FCaC): Sovereignty-aware Systems by Design

arXiv:2603.17331v1 Announce Type: new Abstract: Federated computing (FC) enables collaborative computation such as machine learning, analytics, or data processing across distributed organizations keep…

arXiv Security Read →
◬ AI & Machine Learning Mar 19, 2026
SEAL-Tag: Self-Tag Evidence Aggregation with Probabilistic Circuits for PII-Safe Retrieval-Augmented Generation

arXiv:2603.17292v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) systems introduce a critical vulnerability: contextual leakage, where adversaries exploit instruction-following to …

arXiv Security Read →
◬ AI & Machine Learning Mar 19, 2026
Network- and Device-Level Cyber Deception for Contested Environments Using RL and LLMs

arXiv:2603.17272v1 Announce Type: new Abstract: Cyber deception assists in increasing the attacker's budget in reconnaissance or any early phases of threat intrusions. In the past, numerous methods of…

arXiv Security Read →
◬ AI & Machine Learning Mar 19, 2026
Deanonymizing Bitcoin Transactions via Network Traffic Analysis with Semi-supervised Learning

arXiv:2603.17261v1 Announce Type: new Abstract: Privacy protection mechanisms are a fundamental aspect of security in cryptocurrency systems, particularly in decentralized networks such as Bitcoin. Al…

arXiv Security Read →
◬ AI & Machine Learning Mar 19, 2026
LAAF: Logic-layer Automated Attack Framework A Systematic Red-Teaming Methodology for LPCI Vulnerabilities in Agentic Large Language Model Systems

arXiv:2603.17239v1 Announce Type: new Abstract: Agentic LLM systems equipped with persistent memory, RAG pipelines, and external tool connectors face a class of attacks - Logic-layer Prompt Control In…

arXiv Security Read →
◬ AI & Machine Learning Mar 19, 2026
Towards Unsupervised Adversarial Document Detection in Retrieval Augmented Generation Systems

arXiv:2603.17176v1 Announce Type: new Abstract: Retrieval augmented generation systems have become an integral part of everyday life. Whether in internet search engines, email systems, or service chat…

arXiv Security Read →
◬ AI & Machine Learning Mar 19, 2026
Detecting Data Poisoning in Code Generation LLMs via Black-Box, Vulnerability-Oriented Scanning

arXiv:2603.17174v1 Announce Type: new Abstract: Code generation large language models (LLMs) are increasingly integrated into modern software development workflows. Recent work has shown that these mo…

arXiv Security Read →
◬ AI & Machine Learning Mar 19, 2026
PAuth - Precise Task-Scoped Authorization For Agents

arXiv:2603.17170v1 Announce Type: new Abstract: The emerging agentic web envisions AI agents that reliably fulfill users' natural-language (NL)-based tasks by interacting with existing web services. H…

arXiv Security Read →
◬ AI & Machine Learning Mar 19, 2026
Synchronized DNA sources for unconditionally secure cryptography

arXiv:2603.17149v1 Announce Type: new Abstract: Secure communication is the cornerstone of modern infrastructures, yet achieving unconditional security -resistant to any computational attack- remains …

arXiv Security Read →
◬ AI & Machine Learning Mar 19, 2026
Security Assessment and Mitigation Strategies for Large Language Models: A Comprehensive Defensive Framework

arXiv:2603.17123v1 Announce Type: new Abstract: Large Language Models increasingly power critical infrastructure from healthcare to finance, yet their vulnerability to adversarial manipulation threate…

arXiv Security Read →
◬ AI & Machine Learning Mar 19, 2026
An End-to-End Framework for Functionality-Embedded Provenance Graph Construction and Threat Interpretation

arXiv:2603.17100v1 Announce Type: new Abstract: Provenance graphs model causal system-level interactions from logs, enabling anomaly detectors to learn normal behavior and detect deviations as attacks…

arXiv Security Read →
◬ AI & Machine Learning Mar 19, 2026
DeepStage: Learning Autonomous Defense Policies Against Multi-Stage APT Campaigns

arXiv:2603.16969v1 Announce Type: new Abstract: This paper presents DeepStage, a deep reinforcement learning (DRL) framework for adaptive, stage-aware defense against Advanced Persistent Threats (APTs…

arXiv Security Read →
◬ AI & Machine Learning Mar 19, 2026
Adversarial attacks against Modern Vision-Language Models

arXiv:2603.16960v1 Announce Type: new Abstract: We study adversarial robustness of open-source vision-language model (VLM) agents deployed in a self-contained e-commerce environment built to simulate …

arXiv Security Read →
◬ AI & Machine Learning Mar 19, 2026
Cryptographic Runtime Governance for Autonomous AI Systems: The Aegis Architecture for Verifiable Policy Enforcement

arXiv:2603.16938v1 Announce Type: new Abstract: Contemporary AI governance frameworks rely heavily on post hoc oversight, policy guidance, and behavioral alignment techniques, yet these mechanisms bec…

arXiv Security Read →
◬ AI & Machine Learning Mar 19, 2026
Noticing the Watcher: LLM Agents Can Infer CoT Monitoring from Blocking Feedback

arXiv:2603.16928v1 Announce Type: new Abstract: Chain-of-thought (CoT) monitoring is proposed as a method for overseeing the internal reasoning of language-model agents. Prior work has shown that when…

arXiv Security Read →
◬ AI & Machine Learning Mar 19, 2026
Axiado Wins Gold at 2026 Cybersecurity Excellence Awards for Silicon-Embedded AI Infrastructure Security - Passionate In Marketing

Axiado Wins Gold at 2026 Cybersecurity Excellence Awards for Silicon-Embedded AI Infrastructure Security Passionate In Marketing

Passionate In Marketing Read →
◬ AI & Machine Learning Mar 19, 2026
F5 Acquires Agentic AI Security Startup Fletch - Dark Reading

F5 Acquires Agentic AI Security Startup Fletch Dark Reading

Dark Reading Read →
◬ AI & Machine Learning Mar 19, 2026
Crunchbase hacked and data breach confirmed by ShinyHunters - Cybersecurity Insiders

Crunchbase hacked and data breach confirmed by ShinyHunters Cybersecurity Insiders

Cybersecurity Insiders Read →
◬ AI & Machine Learning Mar 19, 2026
Agents Are Powertools

I want to explain why I think the security industry is going a bit too all in on AI to those who are unfamiliar with the topic. From the outside there’s a lot of impressive magic and a lot of terrible…

AI Village Read →
◬ AI & Machine Learning Mar 18, 2026
Autoresearching Apple's "LLM in a Flash" to run Qwen 397B locally

Autoresearching Apple's "LLM in a Flash" to run Qwen 397B locally Here's a fascinating piece of research by Dan Woods, who managed to get a custom version of Qwen3.5-397B-A17B running at 5.5+ tokens/s…

Simon Willison Read →
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