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◬ AI & Machine Learning Jun 10, 2026
AgentCanary: A Security Evaluation Framework for Autonomous AI Agents in Real Executable Environments

arXiv:2606.10484v1 Announce Type: new Abstract: Autonomous AI agents have driven the transition from conversation to task execution, shifting security failures from textual deception to system comprom…

arXiv Security Read →
◬ AI & Machine Learning Jun 10, 2026
HE-DAP: Homomorphic Encryption-based Dynamic Adaptive Parameter Optimization for Statistical Computation

arXiv:2606.10477v1 Announce Type: new Abstract: Homomorphic encryption (HE) enables privacy-preserving analytics but remains hindered by high computational overhead. We find that the inverse square ro…

arXiv Security Read →
◬ AI & Machine Learning Jun 10, 2026
The Distributed Detectability Band Against Marginal-Preserving Attacks

arXiv:2606.10456v1 Announce Type: new Abstract: AI-control monitors score individual agent actions to detect misbehavior, but real harm can be distributed across many benign-looking steps, each indivi…

arXiv Security Read →
◬ AI & Machine Learning Jun 10, 2026
Semantic Multi-Agent Intrusion Detection for IoT:Zero-Day and Adversarial Threats with Risk-Aware Reasoning

arXiv:2606.10323v1 Announce Type: new Abstract: The rapid proliferation of Internet of Things (IoT) devices has enabled unprecedented automation and connectivity, but it has also substantially increas…

arXiv Security Read →
◬ AI & Machine Learning Jun 10, 2026
Game-Theoretic Multi-Agent Control for Robust Contextual Reasoning in LLMs

arXiv:2606.10322v1 Announce Type: new Abstract: Large Language Models (LLMs) in multi-turn interactions maintain evolving context rather than generating isolated responses, making them vulnerable to p…

arXiv Security Read →
◬ AI & Machine Learning Jun 10, 2026
The Linux IOCTL Census: A Source-Derived Database of the Linux Kernel Control-Code Surface

arXiv:2606.10290v1 Announce Type: new Abstract: The ioctl system call is Linux's catch-all device-control interface. A userspace program opens a device node and hands the driver a numeric command code…

arXiv Security Read →
◬ AI & Machine Learning Jun 10, 2026
Benchmarking and Exploring the Capabilities of LLMs for Attack Investigations

arXiv:2606.10281v1 Announce Type: new Abstract: This paper presents AuditBench, a new benchmark dataset for evaluating the capabilities of LLMs at investigating security-related system audit logs. We …

arXiv Security Read →
◬ AI & Machine Learning Jun 10, 2026
RECON: An LLM-Enhanced Backward Constraint Analysis Framework

arXiv:2606.10264v1 Announce Type: new Abstract: While traditional techniques, such as symbolic execution, provide a principled foundation for precise constraint reasoning in program analysis, they str…

arXiv Security Read →
◬ AI & Machine Learning Jun 10, 2026
Local Is Not a Sufficient Privacy Boundary: Governing OS-Integrated On-Device AI

arXiv:2606.10173v1 Announce Type: new Abstract: As AI systems move into operating systems, privacy no longer turns only on whether a model runs locally. A local assistant may assemble email, calendar …

arXiv Security Read →
◬ AI & Machine Learning Jun 10, 2026
Proof of Source of Funds: Efficient On-chain Provenance of Cryptoassets

arXiv:2606.10172v1 Announce Type: new Abstract: Regulatory compliance is increasingly mandatory for decentralized finance and privacy-enhancing technologies. Current approaches rely on binary inclusio…

arXiv Security Read →
◬ AI & Machine Learning Jun 10, 2026
GRAFT: Graphlet-Triggered Backdoor Attack on GNN-Based Hardware Security Systems

arXiv:2606.10163v1 Announce Type: new Abstract: The globalization of the integrated circuit (IC) supply chain increases the risk of security threats, such as hardware Trojans (HTs) and the theft of in…

arXiv Security Read →
◬ AI & Machine Learning Jun 10, 2026
RadKey: An LLM-Guided RF Backscatter System for Through-Wall Keystroke Inference

arXiv:2606.10148v1 Announce Type: new Abstract: In today's digitally connected world, keyboards remain the primary interface for inputting sensitive information, making them a persistent target for ea…

arXiv Security Read →
◬ AI & Machine Learning Jun 10, 2026
Secrets Best Not Shared: DNS Privacy Enhancements for the Constrained IoT

arXiv:2606.10097v1 Announce Type: new Abstract: Attackers often identify DNS traffic to disrupt or compromise Internet services. While prior work has focused on encrypting queries using DNS over TLS, …

arXiv Security Read →
◬ AI & Machine Learning Jun 10, 2026
SoK: Colluding Adversaries in Machine Learning Pipelines

arXiv:2606.10091v1 Announce Type: new Abstract: Machine learning (ML) models are susceptible to various security, privacy, and fairness risks. Adversaries with different characteristics (i.e., objecti…

arXiv Security Read →
◬ AI & Machine Learning Jun 10, 2026
The Human Vulnerabilities & Exploits (HVE) Framework

arXiv:2606.10083v1 Announce Type: new Abstract: The cybersecurity community has invested over two decades in building standardized frameworks, the Common Vulnerabilities and Exposures (CVE) system, th…

arXiv Security Read →
◬ AI & Machine Learning Jun 10, 2026
The Chronicles of Radio Frequency Fingerprinting

arXiv:2606.10031v1 Announce Type: new Abstract: Radio Frequency Fingerprinting (RFF) has evolved from an early idea for radar emitter identification into a broad research field for wireless device ide…

arXiv Security Read →
◬ AI & Machine Learning Jun 10, 2026
GitInject: Real-World Prompt Injection Attacks in AI-Powered CI/CD Pipelines

arXiv:2606.09935v1 Announce Type: new Abstract: AI-powered agents are increasingly embedded in continuous integration and continuous delivery/deployment (CI/CD) pipelines to autonomously review pull r…

arXiv Security Read →
◬ AI & Machine Learning Jun 10, 2026
Bypassing Copyright Protection in Diffusion-based Customization via Two-Stage Latent Feature Optimization

arXiv:2606.09909v1 Announce Type: new Abstract: With the growing concerns over copyright infringement in diffusion-based customization, adversarial attacks have emerged as a prominent defense strategy…

arXiv Security Read →
◬ AI & Machine Learning Jun 10, 2026
IDP-Bench: Benchmarking ability of LLMs to protect personal information in interdependent privacy contexts

arXiv:2606.09908v1 Announce Type: new Abstract: Large language models (LLMs) are becoming widely deployed as personal AI assistants with access to sensitive user data, making privacy a major challenge…

arXiv Security Read →
◬ AI & Machine Learning Jun 10, 2026
Safecloud: A Distributed, Encrypted Storage Cloud for Streaming

arXiv:2606.09870v1 Announce Type: new Abstract: We present Safecloud, a distributed, encrypted, self-pricing storage and streaming network whose storage and routing nodes never see plaintext and never…

arXiv Security Read →
◬ AI & Machine Learning Jun 10, 2026
Migrating Your GitHub CI to Hugging Face Jobs
Hugging Face Read →
◬ AI & Machine Learning Jun 10, 2026
Introducing North Mini Code: Cohere’s First Model For Developers
Hugging Face Read →
◬ AI & Machine Learning Jun 10, 2026
THE State of AI Cybersecurity 2026 - Darktrace

THE State of AI Cybersecurity 2026 Darktrace

Darktrace Read →
◬ AI & Machine Learning Jun 09, 2026
Can Voice Agents Handle Bilingual Customers? Benchmarking Frontier ASR on Code-Switched Speech
Hugging Face Read →
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