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When Coordination Becomes a Threat: Communication Attacks in LLM-Controlled Multi-Robot Systems
arXiv:2608.06830v1 Announce Type: cross Abstract: Large Language Models (LLMs) are increasingly used as high-level planners in embodied multi-robot systems, enabling robots to interpret natural language instructions and coordinate executable actions. Yet, this growing reliance on LLM planners also raises security…Read more
Published: 6 hours ago | Source: cs.CR updates on arXiv.org
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An Analysis of Architectural and Operational Dynamics of Phishkits in the Wild
arXiv:2608.07451v1 Announce Type: new Abstract: Phishing attacks have always been a favored vector for adversaries to defraud users, bypass modern defense mechanisms, and penetrate critical systems. Among all the elements contributing to the creation and deployment of successful phishing attacks,…Read more
Published: 6 hours ago | Source: cs.CR updates on arXiv.org
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Beyond Text Matching: Towards Reference-Free Evaluation for Human-Oriented Binary Reverse Engineering
arXiv:2608.07038v1 Announce Type: cross Abstract: Human-Oriented Binary Reverse Engineering (HOBRE) aims to transform decompiled pseudocode into a more human-friendly representation, thereby reducing the cognitive burden of reverse analysis and improving efficiency. However, reliably evaluating HOBRE outputs remains a fundamental challenge:…Read more
Published: 6 hours ago | Source: cs.CR updates on arXiv.org
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Tracking-Assisted Robust Secure Transmission Against a Mobile Eavesdropper in Cell-Free ISAC Networks
arXiv:2608.06781v1 Announce Type: new Abstract: In this paper, we propose a tracking-assisted robust secure transmission framework for cell-free integrated sensing and communication (ISAC) networks that exploits distributed multistatic sensing to recursively track a mobile eavesdropper and quantify the associated position…Read more
Published: 6 hours ago | Source: eess.SP updates on arXiv.org
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Optimizing Spectral Prediction in MXene-Based Metasurfaces Through Multi-Channel Spectral Refinement and Savitzky-Golay Smoothing
arXiv:2602.08406v2 Announce Type: replace-cross Abstract: The prediction of electromagnetic spectra for MXene-based solar absorbers, where MXenes are a family of two-dimensional transition metal carbides and nitrides, is a computationally intensive task traditionally addressed using full-wave solvers. This study introduces an…Read more
Published: 6 hours ago | Source: eess.SP updates on arXiv.org
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Efficient Discrete Position Design for Movable Antenna Systems: Low Complexity and Robustness
arXiv:2608.07413v1 Announce Type: cross Abstract: Building on advances in reconfigurable antenna techniques, movable antennas (MAs) can dynamically reshape antenna arrays and introduce additional spatial degrees of freedom (DoFs), thereby further improving communication performance. Despite these benefits, existing MA design algorithms…Read more
Published: 6 hours ago | Source: eess.SP updates on arXiv.org
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FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity
arXiv:2608.07393v1 Announce Type: cross Abstract: Functional Magnetic Resonance Imaging ( fMRI ) data are often pooled into collaborative multi-site consortia, as deep learning models for analyses require large datasets to generalize well. While Federated Learning (FL) offers a privacy-preserving paradigm…Read more
Published: 6 hours ago | Source: eess.SP updates on arXiv.org
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Decentralized Indoor Localization Based on A Sparse Gaussian Process with Reduced-Dimensional Inputs for Real-Time Sensing and Training on IoT Devices
arXiv:2409.00078v2 Announce Type: replace Abstract: As a large number of Internet of Things (IoT) devices are deployed in the field, there arises huge potential of edge computing for indoor localization on those devices. Conventional indoor localization based on a centralized…Read more
Published: 6 hours ago | Source: eess.SP updates on arXiv.org
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HFS: Holistic Query-Aware Frame Selection for Efficient Video Understanding
arXiv:2512.11534v2 Announce Type: replace Abstract: Key frame selection is essentially a set-level optimization problem: the quality of the selected subset depends on the interactions among frames, rather than the score of any single frame. Existing methods generally exhibit three major…Read more
Published: 6 hours ago | Source: cs.CV updates on arXiv.org
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Esper Warns Senate to Pass CLARITY Act for National Security
Mark Esper, former U.S. Secretary of Defense, stresses the CLARITY Act would extend Patriot Act provisions to digital assets, modernizing the identification and special measures apparatus against foreign institutions to target threat actors such as North Korea and criminal organizations.…Read more
Published: 7 hours ago | Source: Bitcoin News
