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◬ AI & Machine Learning Mar 23, 2026
Teaching an Agent to Sketch One Part at a Time

arXiv:2603.19500v1 Announce Type: new Abstract: We develop a method for producing vector sketches one part at a time. To do this, we train a multi-modal language model-based agent using a novel multi-…

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◬ AI & Machine Learning Mar 23, 2026
Hyperagents

arXiv:2603.19461v1 Announce Type: new Abstract: Self-improving AI systems aim to reduce reliance on human engineering by learning to improve their own learning and problem-solving processes. Existing …

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◬ AI & Machine Learning Mar 23, 2026
When both Grounding and not Grounding are Bad -- A Partially Grounded Encoding of Planning into SAT (Extended Version)

arXiv:2603.19429v1 Announce Type: new Abstract: Classical planning problems are typically defined using lifted first-order representations, which offer compactness and generality. While most planners …

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◬ AI & Machine Learning Mar 23, 2026
When Should Selfish Miners Double-Spend?

arXiv:2501.03227v5 Announce Type: replace Abstract: Conventional double-spending attack models ignore the revenue losses stemming from the orphan blocks. On the other hand, selfish mining literature u…

arXiv Security Read →
◬ AI & Machine Learning Mar 23, 2026
LISAA: A Framework for Large Language Model Information Security Awareness Assessment

arXiv:2411.13207v3 Announce Type: replace Abstract: The popularity of large language models (LLMs) continues to grow, and LLM-based assistants have become ubiquitous. Information security awareness (I…

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◬ AI & Machine Learning Mar 23, 2026
An Agentic Multi-Agent Architecture for Cybersecurity Risk Management

arXiv:2603.20131v1 Announce Type: cross Abstract: Getting a real cybersecurity risk assessment for a small organization is expensive -- a NIST CSF-aligned engagement runs $15,000 on the low end, takes…

arXiv Security Read →
◬ AI & Machine Learning Mar 23, 2026
Trojan horse hunt in deep forecasting models: Insights from the European Space Agency competition

arXiv:2603.20108v1 Announce Type: cross Abstract: Forecasting plays a crucial role in modern safety-critical applications, such as space operations. However, the increasing use of deep forecasting mod…

arXiv Security Read →
◬ AI & Machine Learning Mar 23, 2026
NASimJax: GPU-Accelerated Policy Learning Framework for Penetration Testing

arXiv:2603.19864v1 Announce Type: cross Abstract: Penetration testing, the practice of simulating cyberattacks to identify vulnerabilities, is a complex sequential decision-making task that is inheren…

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◬ AI & Machine Learning Mar 23, 2026
Acyclic Graph Pattern Counting under Local Differential Privacy

arXiv:2603.19671v1 Announce Type: cross Abstract: Graph pattern counting serves as a cornerstone of network analysis with extensive real-world applications. Its integration with local differential pri…

arXiv Security Read →
◬ AI & Machine Learning Mar 23, 2026
Variational Encrypted Model Predictive Control

arXiv:2603.19450v1 Announce Type: cross Abstract: We develop a variational encrypted model predictive control (VEMPC) protocol whose online execution relies only on encrypted polynomial operations. Th…

arXiv Security Read →
◬ AI & Machine Learning Mar 23, 2026
DPxFin: Adaptive Differential Privacy for Anti-Money Laundering Detection via Reputation-Weighted Federated Learning

arXiv:2603.19314v1 Announce Type: cross Abstract: In the modern financial system, combating money laundering is a critical challenge complicated by data privacy concerns and increasingly complex fraud…

arXiv Security Read →
◬ AI & Machine Learning Mar 23, 2026
MAPLE: Metadata Augmented Private Language Evolution

arXiv:2603.19258v1 Announce Type: cross Abstract: While differentially private (DP) fine-tuning of large language models (LLMs) is a powerful tool, it is often computationally prohibitive or infeasibl…

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◬ AI & Machine Learning Mar 23, 2026
Improving Generalization on Cybersecurity Tasks with Multi-Modal Contrastive Learning

arXiv:2603.20181v1 Announce Type: new Abstract: The use of ML in cybersecurity has long been impaired by generalization issues: Models that work well in controlled scenarios fail to maintain performan…

arXiv Security Read →
◬ AI & Machine Learning Mar 23, 2026
HQC Post-Quantum Cryptography Decryption with Generalized Minimum-Distance Reed-Solomon Decoder

arXiv:2603.20156v1 Announce Type: new Abstract: Hamming Quasi-Cyclic (HQC) was chosen for the latest post-quantum cryptography standardization. A concatenated Reed-Muller (RM) and Reed-Solomon (RS) co…

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◬ AI & Machine Learning Mar 23, 2026
Evolving Jailbreaks: Automated Multi-Objective Long-Tail Attacks on Large Language Models

arXiv:2603.20122v1 Announce Type: new Abstract: Large Language Models (LLMs) have been widely deployed, especially through free Web-based applications that expose them to diverse user-generated inputs…

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◬ AI & Machine Learning Mar 23, 2026
Sharing The Secret: Distributed Privacy-Preserving Monitoring

arXiv:2603.20107v1 Announce Type: new Abstract: In traditional runtime verification, a system is typically observed by a monolithic monitor. Enforcing privacy in such settings is computationally expen…

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◬ AI & Machine Learning Mar 23, 2026
Trojan's Whisper: Stealthy Manipulation of OpenClaw through Injected Bootstrapped Guidance

arXiv:2603.19974v1 Announce Type: new Abstract: Autonomous coding agents are increasingly integrated into software development workflows, offering capabilities that extend beyond code suggestion to ac…

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◬ AI & Machine Learning Mar 23, 2026
Channel Prediction-Based Physical Layer Authentication under Consecutive Spoofing Attacks

arXiv:2603.19962v1 Announce Type: new Abstract: Wireless networks are highly vulnerable to spoofing attacks, especially when attackers transmit consecutive spoofing packets. Conventional physical laye…

arXiv Security Read →
◬ AI & Machine Learning Mar 23, 2026
TAPAS: Efficient Two-Server Asymmetric Private Aggregation Beyond Prio(+)

arXiv:2603.19949v1 Announce Type: new Abstract: Privacy-preserving aggregation is a cornerstone for AI systems that learn from distributed data without exposing individual records, especially in feder…

arXiv Security Read →
◬ AI & Machine Learning Mar 23, 2026
A Theory of Composable Lingos for Protocol Dialects

arXiv:2603.19908v1 Announce Type: new Abstract: Formal patterns are formally specified solutions to frequently occurring distributed system problems that are generic, executable, and come with strong …

arXiv Security Read →
◬ AI & Machine Learning Mar 23, 2026
Case Study: Horizontal Side-Channel Analysis Attack against Elliptic Curve Scalar Multiplication Accelerator under Laser Illumination

arXiv:2603.19811v1 Announce Type: new Abstract: Devices employing cryptographic approaches have to be resistant to physical attacks. Side-Channel Analysis (SCA) and Fault Injection (FI) attacks are fr…

arXiv Security Read →
◬ AI & Machine Learning Mar 23, 2026
Text-Based Personas for Simulating User Privacy Decisions

arXiv:2603.19791v1 Announce Type: new Abstract: The ability to simulate human privacy decisions has significant implications for aligning autonomous agents with individual intent and conducting cost-e…

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◬ AI & Machine Learning Mar 23, 2026
Kumo: A Security-Focused Serverless Cloud Simulator

arXiv:2603.19787v1 Announce Type: new Abstract: Serverless computing abstracts infrastructure management but also obscures system-level behaviors that can introduce security risks. Prior work has show…

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◬ AI & Machine Learning Mar 23, 2026
From Precise to Random: A Systematic Differential Fault Analysis of the Lightweight Block Cipher Lilliput

arXiv:2603.19781v1 Announce Type: new Abstract: At SAC 2013, Berger et al. first proposed the Extended Generalized Feistel Networks (EGFN) structure for the design of block ciphers with efficient diff…

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