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๐Ÿ” computer simulation ๐Ÿ“‚ Computer Science
Showing 291239 results for "computer simulation" in Computer Science
Computer Science Preprint PDF DOI

Pseudo-Complex Quantifier Elimination

Nicolas Faro{ss}, Thomas Sturm ยท 2026

We describe the design of a quantifier elimination framework for the complex numbers in the language of ordered rings supplemented with symbols for the imaginary unit, real parts, imaginary parts, andโ€ฆ

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Existence and Constructions of Strict Function-Correcting Codes with Data Protection

Charul Rajput, B. Sundar Rajan, Ragnar Freij-Hollanti, Camilla Hollanti ยท 2026

Function-correcting codes with data protection simultaneously protect both the data and a function of the data at distinct error-correction levels. When the function receives strictly stronger protectโ€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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Multi-Server Secure Aggregation with Arbitrary Collusion and Heterogeneous Security Constraints

Zhou Li, Xiang Zhang, Jiguang He, Giuseppe Caire ยท 2026

We study the fundamental limits of multi-server secure aggregation over a two-hop network where multiple servers, each connected to a disjoint subset of users, jointly compute the sum of all users' inโ€ฆ

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Meta-Learning and Targeted Differential Privacy to Improve the Accuracy-Privacy Trade-off in Recommendations

Peter Mullner, Dominik Kowald, Markus Schedl, Elisabeth Lex ยท 2026

Balancing differential privacy (DP) with recommendation accuracy is a key challenge in privacy-preserving recommender systems, since DP-noise degrades accuracy. We address this trade-off at both the dโ€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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Rank Distribution and Dynamics of Gram Matrices from Binary m-Sequences with Applications to LCD Codes

Hengfeng Liu, Chunming Tang, Cuiling Fan, Zhengchun Zhou ยท 2026

The Gram matrix is a classical object formed from the pairwise inner products of a collection of vectors, with fundamental roles in functional analysis, statistics, combinatorics, and coding theory. Iโ€ฆ

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Asset Administration Shell-Based OCL Validation Framework for Model-Based System Engineering

Om Parkash, Jannik Bauer, Vincent Schmitt, Thomas Greiner, Rainer Drath ยท 2026

Increasing complexity of modern enterprise systems and the demand for automation and interoperability require consistent and semantically validated models in Model-Based Systems Engineering (MBSE). Thโ€ฆ

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Automaton-based Characterisations of First Order Logic over Infinite Trees

Massimo Benerecetti, Dario Della Monica, Angelo Matteo, Fabio Mogavero, Gabriele Puppis ยท 2026

We study the expressive power of First-Order Logic (\FO) over (unordered) infinite trees, with the aim of identifying robust characterisations in terms of branching-time specification formalisms. Whilโ€ฆ

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PiLLar: Matching for Pivot Table Schema via LLM-guided Monte-Carlo Tree Search

Yunjun Gao, Chuangyu Ouyang, Congcong Ge, Yifan Zhu ยท 2026

Pivot tables are ubiquitous in data lakes of modern data ecosystems, making accurate schema matching over pivot tables a key prerequisite for data integration. In this paper, we focus on matching for โ€ฆ

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UIGaze: How Closely Can VLMs Approximate Human Visual Attention on User Interfaces?

Min Song, Yoonseong Lee, Yeonhu Seo ยท 2026

Vision Language Models (VLMs) have demonstrated strong capabilities in understanding visual content, yet their ability to predict where humans look on user interfaces remains unexplored. We present UIโ€ฆ

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Asymptotically Robust Learning-Augmented Algorithms for Preemptive FIFO Buffer Management

Wen-Han Hsieh, Ya-Chun Liang ยท 2026

We present a learning-augmented online algorithm for the preemptive FIFO buffer management problem, where packets arrive online to a finite-capacity buffer, must be transmitted in FIFO order, and the โ€ฆ

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On the Capacity of Hierarchical Secure Aggregation with Groupwise Keys

Minyang Lu, Zhou Li, Haiqiang Chen, Min Xie ยท 2026

We study the hierarchical secure aggregation problem with groupwise keys. The problem consists of an aggregation server, $U$ relays, and $UV$ users, where each relay serves $V$ disjoint users, and eacโ€ฆ

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Taking a Bite Out of the Forbidden Fruit: Characterizing Third-Party Iranian iOS App Stores

Amirhossein Khanlari, Amir Rahmati ยท 2026

Due to U.S. sanctions and strict internet censorship, Iranian iOS users are barred from accessing the Apple App Store and developer services. In response, despite violating Apple's developer terms, a 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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Efficient, VRAM-Constrained xLM Inference on Clients

Aditya Ukarande, Deep Shekhar, Marc Blackstein, Ram Rangan ยท 2026

To usher in the next round of client AI innovation, there is an urgent need to enable efficient, lossless inference of high-accuracy large language models (LLMs) and vision language models (VLMs), joiโ€ฆ

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Distributional Learning of Graph Languages Generated by Fixed-Interface Clause Systems

Takayoshi Shoudai, Satoshi Matsumoto, Yusuke Suzuki, Tomoyuki Uchida ยท 2026

Distributional learning provides a framework for studying the learnability of structured languages from positive data. In this paper, we extend this framework to graph languages generated by fixed-intโ€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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Towards a Frugal Photosynthesis Sensing Toolkit for Data-Driven Plant Science Education and Exploration

Qitong Li, Raj Nileshbhai Dave, Rhema Amanda Phiri, Leo Zhang, Xiaoyu Zheng, Ariana Blake, Livia Ford, Sarah Jones, Susan R. Strickler, Nivedita Arora ยท 2026

Rapid environmental change and advances in data-driven analysis highlight the need not only to use computational tools, but also to foster understanding of the natural world and inspire creativity. Phโ€ฆ

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Towards Low-Cost Low-Power Activity-Aware Soil Moisture Sensing Platform for Large-scale Farming

Jack Thoene, Omar Kamil, Thekra Alkadee, Nivedita Arora ยท 2026

Deep understanding of a field's soil moisture content is the leading indicator for predicting crop yields and making data driven decisions for irrigation and application of topical chemicals for drougโ€ฆ

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