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Computer Science Preprint PDF DOI

Perfectly Private Over-the-Air Computation

Shudi Weng, Ming Xiao, Mikael Skoglund · 2026

This paper studies a key research question: how to achieve perfect privacy in over-the-air computation (AirComp)? The problem is particularly intriguing due to a dilemma. Real-field operations can ens…

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Computer Science Preprint PDF DOI

Average-Tree Phylogenetic Diversity Parameterized by Scanwidth and Invisibility

Leo van Iersel, Mark Jones, Jannik Schestag, Celine Scornavacca, Mathias Weller · 2026

We investigate parameterized algorithms for computing the average-tree phylogenetic diversity (APD) in rooted phylogenetic networks, studying the problem under different structural parameters that cap…

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Computer Science Preprint PDF DOI

How Code Representation Shapes False-Positive Dynamics in Cross-Language LLM Vulnerability Detection

Maofei Chen, Laifu Wang, Yue Qin, Yuan Wang, Bo Wu, Dongxin Liu · 2026

How code representation format shapes false positive behaviour in cross-language LLM vulnerability detection remains poorly understood. We systematically vary training intensity and code representatio…

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Computer Science Preprint PDF DOI

Towards an Ethical AI Curriculum: A Pan-African, Culturally Contextualized Framework for Primary and Secondary Education

Abidemi Kuburat Adedeji, Franklin Tchakounte, Sulaiman Oluwasegun Yusuff · 2026

Artificial intelligence (AI) is now embedded in educational, civic, and economic systems worldwide. For African primary and secondary education, this creates a double imperative: to prepare a young po…

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Computer Science Preprint PDF DOI

Users' Activity Logs: the Good, the Bad, the Misconception, and the Disastrous

Eman Alashwali · 2026

Most service providers, such as Google, save logs from data generated by users while using the service. Many service providers provide users with privacy controls to manage whether, how, and for how l…

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Computer Science Preprint PDF DOI

VOW: Verifiable and Oblivious Watermark Detection for Large Language Models

Xiaokun Luan, Yihao Zhang, Pengcheng Su, Feiran Lei, Meng Sun · 2026

Large Language Model (LLM) watermarking is crucial for establishing the provenance of machine-generated text, but most existing methods rely on a centralized trust model. This model forces users to re…

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Computer Science Preprint PDF DOI

Solving Hypergraph Laplacian Systems in Almost-Linear Time

Yuichi Yoshida · 2026

For a connected weighted hypergraph, we give a randomized almost-linear-time solver for the Poisson problem for the cut-based hypergraph Laplacian in the natural input size $P=\sum_{e\in E}|e|$, the s…

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Computer Science Preprint PDF DOI

lpviz: Interactive Linear Programming Visualization

Evan Grand, Michael Klamkin · 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 r…

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Computer Science Preprint PDF DOI

Secure Cross-Silo Synthetic Genomic Data Generation

Daniil Filienko, Martine De Cock, Sikha Pentyala · 2026

Access to genomic data is highly regulated due to its sensitive nature. While safeguards are essential, cumbersome data access processes pose a significant barrier to the development of AI methods for…

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Computer Science Preprint PDF DOI

Tracking Conversations: Measuring Content and Identity Exposure on AI Chatbots

Muhammad Jazlan, Ethan Wang, Yash Vekaria, Zubair Shafiq · 2026

AI chatbots are becoming a primary interface for seeking information. As their popularity grows, chatbot providers are starting to deploy advertising and analytics. Despite this, tracking on AI chatbo…

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Computer Science Preprint PDF DOI

Secret Stealing Attacks on Local LLM Fine-Tuning through Supply-Chain Model Code Backdoors

Zi Li, Tian Zhou, Wenze Li, Jingyu Hua, Yunlong Mao, Sheng Zhong · 2026

Local fine-tuning datasets routinely contain sensitive secrets such as API keys, personal identifiers, and financial records. Although ''local offline fine-tuning'' is often viewed as a privacy bounda…

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Computer Science Preprint PDF DOI

One Size Fits All? An Empirical Comparison of ADR Templates regarding Comprehension, Usability, and Ease of Adoption

Fernando Nogueira, Nabson Silva, Tayana Conte · 2026

Context: Documenting Architectural Design Decisions (ADDs) is a critical factor in the software lifecycle, essential for efficient system maintenance, developer onboarding, and preventing knowledge va…

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Computer Science Preprint PDF DOI

Addressing the Reality Gap: A Three-Tension Framework for Agentic AI Adoption

Jason Fournier (Imagine Learning), Kacper {L}odzikowski (Adam Mickiewicz University, Poznan, Poland) · 2026

Generative AI has rapidly entered education through free consumer tools, outpacing the ability of schools and universities to respond. Now a new wave of more autonomous agentic AI systems--with the ca…

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Computer Science Preprint PDF DOI

Upskilling with Generative AI: Practices and Challenges for Freelance Knowledge Workers

Kashif Imteyaz, Isabel Lopez, Nakul Rajpal, Hunjun Shin, Saiph Savage · 2026

Freelance workers must continually acquire new skills to remain competitive in online labor markets, yet they lack the organizational training, mentorship, and infrastructure available to traditional …

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Computer Science Preprint PDF DOI

Enhancing Linux Privilege Escalation Attack Capabilities of Local LLM Agents

Benjamin Probst, Andreas Happe, Jurgen Cito · 2026

Recent research has demonstrated the potential of Large Language Models (LLMs) for autonomous penetration testing, particularly when using cloud-based restricted-weight models. However, reliance on su…

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Computer Science Preprint PDF DOI

Revealing NVIDIA Closed-Source Driver Command Streams for CPU-GPU Runtime Behavior Insight

Yuang Yan, Ian Karlin, Ryan Grant · 2026

For NVIDIA GPUs, CUDA is the primary interface through which applications orchestrate GPU execution, yet much of the logic that realizes CUDA operations resides in NVIDIA's closed-source userspace dri…

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Computer Science Preprint PDF DOI

Solving Positive Linear Programs with Differential Privacy

Alina Ene, Huy Le Nguyen, Ta Duy Nguyen, Adrian Vladu · 2026

We study differentially private approximation algorithms for positive linear programs (LPs with nonnegative coefficients and variables), focusing on the fundamental families of packing, covering, and …

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Computer Science Preprint PDF DOI

Analytically Characterized Optimal Power Control for Signal-Level-Integrated Sensing, Computing and Communication in Federated Learning

Paul Zheng, Yao Zhu, Xiaopeng Yuan, Yulin Hu, Anke Schmeink · 2026

In the Internet-of-Things (IoT) era, efficient functionality integration is essential to address the growing demands of communication, computation, and sensing. Signal-level integrated sensing, comput…

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Computer Science Preprint PDF DOI

An Effective Orchestral Approach to Satisfiability Modulo Prime Fields

Miguel Isabel, Enric Rodriguez-Carbonell, Clara Rodriguez-Nunez, Albert Rubio · 2026

Zero-knowledge proofs (ZKPs) are an emerging technology that has become the solution to efficiently provide security and privacy along with the transparency requirement of blockchains. ZKPs are usuall…

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Computer Science Preprint PDF DOI

PRAG: End-to-End Privacy-Preserving Retrieval-Augmented Generation

Zhijun Li, Minghui Xu, Huayi Qi, Wenxuan Yu, Tingchuang Zhang, Qiao Zhang, GuangYong Shang, Zhen Ma, Xiuzhen Cheng · 2026

Retrieval-Augmented Generation (RAG) is essential for enhancing Large Language Models (LLMs) with external knowledge, but its reliance on cloud environments exposes sensitive data to privacy risks. Ex…

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