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◬ AI & Machine Learning Apr 02, 2026
In harmony with gpt-oss

arXiv:2604.00362v1 Announce Type: new Abstract: No one has independently reproduced OpenAI's published scores for gpt-oss-20b with tools, because the original paper discloses neither the tools nor the…

arXiv AI Read →
◬ AI & Machine Learning Apr 02, 2026
Signals: Trajectory Sampling and Triage for Agentic Interactions

arXiv:2604.00356v1 Announce Type: new Abstract: Agentic applications based on large language models increasingly rely on multi-step interaction loops involving planning, action execution, and environm…

arXiv AI Read →
◬ AI & Machine Learning Apr 02, 2026
Collaborative AI Agents and Critics for Fault Detection and Cause Analysis in Network Telemetry

arXiv:2604.00319v1 Announce Type: new Abstract: We develop algorithms for collaborative control of AI agents and critics in a multi-actor, multi-critic federated multi-agent system. Each AI agent and …

arXiv AI Read →
◬ AI & Machine Learning Apr 02, 2026
Improvisational Games as a Benchmark for Social Intelligence of AI Agents: The Case of Connections

arXiv:2604.00284v1 Announce Type: new Abstract: We formally introduce a improvisational wordplay game called Connections to explore reasoning capabilities of AI agents. Playing Connections combines sk…

arXiv AI Read →
◬ AI & Machine Learning Apr 02, 2026
Human-in-the-Loop Control of Objective Drift in LLM-Assisted Computer Science Education

arXiv:2604.00281v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly embedded in computer science education through AI-assisted programming tools, yet such workflows often exh…

arXiv AI Read →
◬ AI & Machine Learning Apr 02, 2026
A Safety-Aware Role-Orchestrated Multi-Agent LLM Framework for Behavioral Health Communication Simulation

arXiv:2604.00249v1 Announce Type: new Abstract: Single-agent large language model (LLM) systems struggle to simultaneously support diverse conversational functions and maintain safety in behavioral he…

arXiv AI Read →
◬ AI & Machine Learning Apr 02, 2026
Open, Reliable, and Collective: A Community-Driven Framework for Tool-Using AI Agents

arXiv:2604.00137v1 Announce Type: new Abstract: Tool-integrated LLMs can retrieve, compute, and take real-world actions via external tools, but reliability remains a key bottleneck. We argue that fail…

arXiv AI Read →
◬ AI & Machine Learning Apr 02, 2026
One Panel Does Not Fit All: Case-Adaptive Multi-Agent Deliberation for Clinical Prediction

arXiv:2604.00085v1 Announce Type: new Abstract: Large language models applied to clinical prediction exhibit case-level heterogeneity: simple cases yield consistent outputs, while complex cases produc…

arXiv AI Read →
◬ AI & Machine Learning Apr 02, 2026
How Emotion Shapes the Behavior of LLMs and Agents: A Mechanistic Study

arXiv:2604.00005v1 Announce Type: new Abstract: Emotion plays an important role in human cognition and performance. Motivated by this, we investigate whether analogous emotional signals can shape the …

arXiv AI Read →
◬ AI & Machine Learning Apr 02, 2026
Differentially Private Manifold Denoising

arXiv:2604.00942v1 Announce Type: cross Abstract: We introduce a differentially private manifold denoising framework that allows users to exploit sensitive reference datasets to correct noisy, non-pri…

arXiv Security Read →
◬ AI & Machine Learning Apr 02, 2026
Adversarial Attenuation Patch Attack for SAR Object Detection

arXiv:2604.00887v1 Announce Type: cross Abstract: Deep neural networks have demonstrated excellent performance in SAR target detection tasks but remain susceptible to adversarial attacks. Existing SAR…

arXiv Security Read →
◬ AI & Machine Learning Apr 02, 2026
UK AISI Alignment Evaluation Case-Study

arXiv:2604.00788v1 Announce Type: cross Abstract: This technical report presents methods developed by the UK AI Security Institute for assessing whether advanced AI systems reliably follow intended go…

arXiv Security Read →
◬ AI & Machine Learning Apr 02, 2026
PrivHAR-Bench: A Graduated Privacy Benchmark Dataset for Video-Based Action Recognition

arXiv:2604.00761v1 Announce Type: cross Abstract: Existing research on privacy-preserving Human Activity Recognition (HAR) typically evaluates methods against a binary paradigm: clear video versus a s…

arXiv Security Read →
◬ AI & Machine Learning Apr 02, 2026
Engineering a Phase-Noise-Based Quantum Random Number Generator for Real-Time Secure Applications: Design, Validation, and Scalability

arXiv:2604.00741v1 Announce Type: cross Abstract: Random Number Generators (RNGs) are crucial for applications ranging from cryptography to simulations. Depending on the source of randomness, RNGs are…

arXiv Security Read →
◬ AI & Machine Learning Apr 02, 2026
Enhancing REST API Fuzzing with Access Policy Violation Checks and Injection Attacks

arXiv:2604.00702v1 Announce Type: cross Abstract: Due to their widespread use in industry, several techniques have been proposed in the literature to fuzz REST APIs. Existing fuzzers for REST APIs hav…

arXiv Security Read →
◬ AI & Machine Learning Apr 02, 2026
LibScan: Smart Contract Library Misuse Detection with Iterative Feedback and Static Verification

arXiv:2604.00657v1 Announce Type: cross Abstract: Smart contracts are self-executing programs that manage financial transactions on blockchain networks. Developers commonly rely on third-party code li…

arXiv Security Read →
◬ AI & Machine Learning Apr 02, 2026
Secure Forgetting: A Framework for Privacy-Driven Unlearning in Large Language Model (LLM)-Based Agents

arXiv:2604.00430v1 Announce Type: cross Abstract: Large language model (LLM)-based agents have recently gained considerable attention due to the powerful reasoning capabilities of LLMs. Existing resea…

arXiv Security Read →
◬ AI & Machine Learning Apr 02, 2026
AgentWatcher: A Rule-based Prompt Injection Monitor

arXiv:2604.01194v1 Announce Type: new Abstract: Large language models (LLMs) and their applications, such as agents, are highly vulnerable to prompt injection attacks. State-of-the-art prompt injectio…

arXiv Security Read →
◬ AI & Machine Learning Apr 02, 2026
Obfuscating Code Vulnerabilities against Static Analysis in JavaScript Code

arXiv:2604.01131v1 Announce Type: new Abstract: Code obfuscation is widely adopted in modern software development to protect intellectual property and hinder reverse engineering, but it also provides …

arXiv Security Read →
◬ AI & Machine Learning Apr 02, 2026
Multi-Agent LLM Governance for Safe Two-Timescale Reinforcement Learning in SDN-IoT Defense

arXiv:2604.01127v1 Announce Type: new Abstract: Software-Defined Networking (SDN) is increasingly adopted to secure Internet-of-Things (IoT) networks due to its centralized control and programmable fo…

arXiv Security Read →
◬ AI & Machine Learning Apr 02, 2026
LightGuard: Transparent WiFi Security via Physical-Layer LiFi Key Bootstrapping

arXiv:2604.01092v1 Announce Type: new Abstract: WiFi is inherently vulnerable to eavesdropping because RF signals may penetrate many physical boundaries, such as walls and floors. LiFi, by contrast, i…

arXiv Security Read →
◬ AI & Machine Learning Apr 02, 2026
Automated Generation of Cybersecurity Exercise Scenarios

arXiv:2604.01079v1 Announce Type: new Abstract: There is a growing need for cybersecurity professionals with practical knowledge and experience to meet societal needs and comply with new standards and…

arXiv Security Read →
◬ AI & Machine Learning Apr 02, 2026
VibeGuard: A Security Gate Framework for AI-Generated Code

arXiv:2604.01052v1 Announce Type: new Abstract: "Vibe coding," in which developers delegate code generation to AI assistants and accept the output with little manual review, has gained rapid adoption …

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◬ AI & Machine Learning Apr 02, 2026
Automated Framework to Evaluate and Harden LLM System Instructions against Encoding Attacks

arXiv:2604.01039v1 Announce Type: new Abstract: System Instructions in Large Language Models (LLMs) are commonly used to enforce safety policies, define agent behavior, and protect sensitive operation…

arXiv Security Read →
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