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๐Ÿ” simon j. devitt ๐Ÿ“‚ Computer Science
Showing 12615 results for "simon j. devitt" in Computer Science
Computer Science Preprint PDF DOI

Simpler and Improved Replacement Path Coverings

Davide Bilo, Shiri Chechik, Keerti Choudhary, Sarel Cohen, Martin Schirneck ยท 2026

An important tool in the design of fault-tolerant graph data structures are $(L,f)$-replacement path coverings (RPCs). An RPC is a family $\mathcal{G}$ of subgraphs of a given graph $G$ such that, forโ€ฆ

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WOOTdroid: Whole-system Online On-device Tracing for Android

Simon Althaus, Nikolaos Alexopoulos, Max Muhlhauser, Christian Reuter, Ephraim Zimmer ยท 2026

System auditing on Android faces two problems. First, existing syscall tracers lose events under load, silently overwriting entries faster than a user space reader can drain them. Second, security-relโ€ฆ

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lpviz: Interactive Linear Programming Visualization

Evan Grand, Michael Klamkin ยท 2026

This paper presents lpviz, a browser-based visualization tool for linear programming. lpviz is deeply interactive, offering an intuitive interface where users can directly draw and edit the feasible rโ€ฆ

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Empire Amplifier: Uncovering and Contesting the Prioritization of Colonial Content on Platforms Through Community-Informed Algorithmic Auditing

Nel Escher, Bakyt Yrysov, Ashley McDermott, Daniel Chechelnitsky, Hermela Berehan Benyam, Nikola Banovic ยท 2026

Though online platforms claim to amplify Indigenous voices, Indigenous communities are worried that these systems are instead eroding their language and culture. We conduct a community-informed algoriโ€ฆ

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Predicting Upcoming Stuttering Events from Three-Second Audio: Stratified Evaluation Reveals Severity-Selective Precursors, and the Model Deploys Fully On-Device

Nazar Kozak ยท 2026

Audio-based stuttering systems to date have been trained for detection -- what disfluency is present now -- leaving prediction, the capability needed for closed-loop intervention, unstudied at deployaโ€ฆ

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What Suppresses Nash Equilibrium Play in Large Language Models? Mechanistic Evidence and Causal Control

Paraskevas V. Lekeas, Giorgos Stamatopoulos ยท 2026

LLM agents are known to deviate from Nash equilibria in strategic interactions, but nobody has looked inside the model to understand why, or asked whether the deviation can be reversed. We do both. โ€ฆ

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Joint Transceiver Orientation Optimization for Rotatable-Antenna MIMO Capacity Maximization

Zheng Ailing, Wu Qingqing, Peng Xingxiang, Peng Qiaoyan, Zheng Ziyuan, Chen Wen ยท 2026

Conventional multiple-input multiple-output (MIMO) systems mainly rely on fixed antenna arrays, which limits their capability to adapt the effective channel matrix to the propagation environment. Rotaโ€ฆ

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On (In)approximability of MaxMin Independent Set Reconfiguration

Hung P. Hoang, Naoto Ohsaka, Rin Saito, Yuma Tamura ยท 2026

In the Independent Set Reconfiguration problem under the Token Addition/Removal rule, given a graph $G$ and two independent sets $I$ and $J$ of $G$, we want to transform $I$ into $J$ by adding and remโ€ฆ

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DUAL-BLADE: Dual-Path NVMe-Direct KV-Cache Offloading for Edge LLM Inference

Bodon Jeong, Hongsu Byun, Youngjae Kim, Weikuan Yu, Kyungkeun Lee, Jihoon Yang, Sungyong Park ยท 2026

The increasing deployment of Large Language Model (LLM) inference on edge AI systems demands efficient execution under tight memory budgets. A key challenge arises from Key-Value (KV) caches, which ofโ€ฆ

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FloatSOM: GPU-Accelerated, Distributed, Topology-Flexible Self-Organizing Maps

Tony Xu, Sarah Klamt, Katherine Turner, Anne Brustle, Felix Marsh-Wakefield, Givanna Putri ยท 2026

GPU-accelerated Self-Organizing Map (SOM) implementations are among the most competitive options for large-scale SOM analysis, but growing dataset sizes increasingly challenge their practical use becaโ€ฆ

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Path-Reporting Distance Oracles for Vertex-Labeled Graphs

Ofer Neiman, Alon Spector ยท 2026

Let $G=(V,E)$ be a weighted undirected graph, with $n$ vertices. A distance oracle is a data structure that can quickly answer distance queries, with some stretch factor. A seminal work of \cite{TZ01}โ€ฆ

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SecMate: Multi-Agent Adaptive Cybersecurity Troubleshooting with Tri-Context Personalization

Yair Meidan, Omri Haller, Yulia Moshan, Shahaf David, Dudu Mimran, Yuval Elovici, Asaf Shabtai ยท 2026

Recent advances in large language models and agentic frameworks have enabled virtual customer assistants (VCAs) for complex support. We present SecMate, a multi-agent VCA for cybersecurity troubleshooโ€ฆ

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SplitFT: An Adaptive Federated Split Learning System For LLMs Fine-Tuning

Yimeng Shan, Zhaorui Zhang, Sheng Di, Yu Liu, Xiaoyi Lu, Benben Liu ยท 2026

Federated Split Learning has been identified as an efficient approach to address the computational resource constraints of clients in classical federated learning, while guaranteeing data privacy for โ€ฆ

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Can Cross-Layer Design Bridge Security and Efficiency? A Robust Authentication Framework for Healthcare Information Exchange Systems

Khalid M. Ezzat, Muhammad El-Saba, Mahmoud A. Shawky ยท 2026

As healthcare systems become increasingly interconnected, ensuring secure and continuous device authentication in health information exchange (HIE) networks is critical to safeguarding patient data anโ€ฆ

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VulStyle: A Multi-Modal Pre-Training for Code Stylometry-Augmented Vulnerability Detection

Chidera Biringa, Ajmal Abbas, Vishnu Selvaraj, Gokhan Kul ยท 2026

We present VulStyle, a multi-modal software vulnerability detection model that jointly encodes function-level source code, non-terminal Abstract Syntax Tree (AST) structure, and code stylometry (CStylโ€ฆ

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AMMA: A Multi-Chiplet Memory-Centric Architecture for Low-Latency 1M Context Attention Serving

Zhongkai Yu, Haotian Ye, Chenyang Zhou, Ohm Rishabh Venkatachalam, Zaifeng Pan, Zhengding Hu, Junsung Kim, Won Woo Ro, Po-An Tsai, Shuyi Pei, Yangwook Kang, Yufei Ding ยท 2026

All current LLM serving systems place the GPU at the center, from production-level attention-FFN disaggregation to NVIDIA's Rubin GPU-LPU heterogeneous platform. Even academic PIM/PNM proposals still โ€ฆ

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Tight Bounds for some W[1]-hard Problems Parameterized by Multi-clique-width

Benjamin Bergougnoux, Vera Chekan, Stefan Kratsch ยท 2026

In this work we contribute to the study of the fine-grained complexity of problems parameterized by multi-clique-width, which was initiated by F\"urer [ITCS 2017] and pursued further by Chekan and Kraโ€ฆ

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At the Edge of the Heart: ULP FPGA-Based CNN for On-Device Cardiac Feature Extraction in Smart Health Sensors for Astronauts

Kazi Mohammad Abidur Rahman, Davis Rakhshan, Philipp Lutke, Laura Harms, Ulf Kulau ยท 2026

The convergence of accelerating human spaceflight ambitions and critical terrestrial health monitoring demands is driving unprecedented requirements for reliable, real-time feature extraction on extreโ€ฆ

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Learning Generalizable Multimodal Representations for Software Vulnerability Detection

Zeming Dong, Yuejun Guo, Qiang Hu, Yao Zhang, Maxime Cordy, Hao Liu, Mike Papadakis, Yongqiang Lyu ยท 2026

Source code and its accompanying comments are complementary yet naturally aligned modalities-code encodes structural logic while comments capture developer intent. However, existing vulnerability deteโ€ฆ

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NVLLM: A 3D NAND-Centric Architecture Enabling Edge on-Device LLM Inference

Mingbo Hao, Changwei Yan, Haoyu Cui, Zhihao Yan, Yizhi Ding, Zhangrui Qian, Weiwei Shan ยท 2026

The rapid growth of LLMs demands high-throughput, memory-capacity-intensive inference on resource-constrained edge devices, where single-batch decoding remains fundamentally memory-bound. Existing outโ€ฆ

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