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◬ AI & Machine Learning Mar 19, 2026
Draft-and-Prune: Improving the Reliability of Auto-formalization for Logical Reasoning

arXiv:2603.17233v1 Announce Type: new Abstract: Auto-formalization (AF) translates natural-language reasoning problems into solver-executable programs, enabling symbolic solvers to perform sound logic…

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◬ AI & Machine Learning Mar 19, 2026
AI Scientist via Synthetic Task Scaling

arXiv:2603.17216v1 Announce Type: new Abstract: With the advent of AI agents, automatic scientific discovery has become a tenable goal. Many recent works scaffold agentic systems that can perform mach…

arXiv AI Read →
◬ AI & Machine Learning Mar 19, 2026
How Clued up are LLMs? Evaluating Multi-Step Deductive Reasoning in a Text-Based Game Environment

arXiv:2603.17169v1 Announce Type: new Abstract: Deducing whodunit proves challenging for LLM agents. In this paper, we implement a text-based multi-agent version of the classic board game Clue as a ru…

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◬ AI & Machine Learning Mar 19, 2026
Cascade-Aware Multi-Agent Routing: Spatio-Temporal Sidecars and Geometry-Switching

arXiv:2603.17112v1 Announce Type: new Abstract: A common architectural pattern in advanced AI reasoning systems is the symbolic graph network: specialized agents or modules connected by delegation edg…

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◬ AI & Machine Learning Mar 19, 2026
Transformers are Bayesian Networks

arXiv:2603.17063v1 Announce Type: new Abstract: Transformers are the dominant architecture in AI, yet why they work remains poorly understood. This paper offers a precise answer: a transformer is a Ba…

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◬ AI & Machine Learning Mar 19, 2026
Generative AI-assisted Participatory Modeling in Socio-Environmental Planning under Deep Uncertainty

arXiv:2603.17021v1 Announce Type: new Abstract: Socio-environmental planning under deep uncertainty requires researchers to identify and conceptualize problems before exploring policies and deploying …

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◬ AI & Machine Learning Mar 19, 2026
ARES: Scalable and Practical Gradient Inversion Attack in Federated Learning through Activation Recovery

arXiv:2603.17623v1 Announce Type: cross Abstract: Federated Learning (FL) enables collaborative model training by sharing model updates instead of raw data, aiming to protect user privacy. However, re…

arXiv Security Read →
◬ AI & Machine Learning Mar 19, 2026
Rel-Zero: Harnessing Patch-Pair Invariance for Robust Zero-Watermarking Against AI Editing

arXiv:2603.17531v1 Announce Type: cross Abstract: Recent advancements in diffusion-based image editing pose a significant threat to the authenticity of digital visual content. Traditional embedding-ba…

arXiv Security Read →
◬ AI & Machine Learning Mar 19, 2026
Revisiting Vulnerability Patch Identification on Data in the Wild

arXiv:2603.17266v1 Announce Type: cross Abstract: Attacks can exploit zero-day or one-day vulnerabilities that are not publicly disclosed. To detect these vulnerabilities, security researchers monitor…

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◬ AI & Machine Learning Mar 19, 2026
A Longitudinal Study of Usability in Identity-Based Software Signing

arXiv:2603.17133v1 Announce Type: cross Abstract: Identity-based software signing tools aim to make software artifact provenance verifiable while reducing the operational burden of long-lived key mana…

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◬ AI & Machine Learning Mar 19, 2026
Capability-Priced Micro-Markets: A Micro-Economic Framework for the Agentic Web over HTTP 402

arXiv:2603.16899v1 Announce Type: cross Abstract: This paper introduces Capability-Priced Micro-Markets (CPMM), a micro-economic framework designed to enable robust, scalable, and secure commerce amon…

arXiv Security Read →
◬ AI & Machine Learning Mar 19, 2026
Differential Privacy in Generative AI Agents: Analysis and Optimal Tradeoffs

arXiv:2603.17902v1 Announce Type: new Abstract: Large language models (LLMs) and AI agents are increasingly integrated into enterprise systems to access internal databases and generate context-aware r…

arXiv Security Read →
◬ AI & Machine Learning Mar 19, 2026
SoK: From Silicon to Netlist and Beyond $-$ Two Decades of Hardware Reverse Engineering Research

arXiv:2603.17883v1 Announce Type: new Abstract: As hardware serves as the root of trust in modern computing systems, Hardware Reverse Engineering (HRE) is foundational for security assurance. In pract…

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◬ AI & Machine Learning Mar 19, 2026
On Securing the Software Development Lifecycle in IoT RISC-V Trusted Execution Environments

arXiv:2603.17757v1 Announce Type: new Abstract: RISC-V-based Trusted Execution Environments (TEEs) are gaining traction in the automotive and IoT sectors as a foundation for protecting sensitive compu…

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◬ AI & Machine Learning Mar 19, 2026
Data Obfuscation for Secure Use of Classical Values in Quantum Computation

arXiv:2603.17725v1 Announce Type: new Abstract: Quantum computing often requires classical data to be supplied to execution environments that may not be fully trusted or isolated. While encryption pro…

arXiv Security Read →
◬ AI & Machine Learning Mar 19, 2026
Machine Learning for Network Attacks Classification and Statistical Evaluation of Machine Learning for Network Attacks Classification and Adversarial Learning Methodologies for Synthetic Data Generation

arXiv:2603.17717v1 Announce Type: new Abstract: Supervised detection of network attacks has always been a critical part of network intrusion detection systems (NIDS). Nowadays, in a pivotal time for a…

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◬ AI & Machine Learning Mar 19, 2026
Post-Training Local LLM Agents for Linux Privilege Escalation with Verifiable Rewards

arXiv:2603.17673v1 Announce Type: new Abstract: LLM agents are increasingly relevant to research domains such as vulnerability discovery. Yet, the strongest systems remain closed and cloud-only, makin…

arXiv Security Read →
◬ 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…

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◬ 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…

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◬ 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 …

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◬ 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 →
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