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Showing 580 results for "canada)" in Computer Science
Computer Science Preprint PDF DOI

Unified 5G-IoT Framework with CAMARA Gateways and SDN Federation

Zihan Jia, Ze Wang, Chen Chen, Ziren Xiao, Fung Po Tso ยท 2026

The convergence of 5G and IoT enables fully connected, intelligent environments, but it faces challenges from the fragmentation of public/private 5G networks and the heterogeneity of IoT networks. We โ€ฆ

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Behavioral Canaries: Auditing Private Retrieved Context Usage in RL Fine-Tuning

Chaoran Chen, Dayu Yuan, Peter Kairouz ยท 2026

In agentic workflows, LLMs frequently process retrieved contexts that are legally protected from further training. However, auditors currently lack a reliable way to verify if a provider has violated โ€ฆ

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The Public Health and Environmental Surveillance Open Data Model (PHES-ODM) Version 3: An Open, Relational Data Model and Interoperability Framework for Wastewater Surveillance

Mathew Thomson, Jean-David Therrien, Nikho Hizon, Janet Lin, Martin Wellman, Eugen-Sorin Sion, Carol Bennett, Peter Van Rolleghem, Douglas Manuel ยท 2026

Wastewater surveillance (WWS) has emerged as a valuable tool for public health surveillance, particularly since the COVID-19 pandemic. Its long-term utility is constrained, however, by fragmented dataโ€ฆ

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Computer Science Preprint PDF DOI

Spatiotemporal Analysis of VIIRS Satellite Observations and Network Traffic During the 2025 Manitoba Wildfires

Xiang Shi, Peng Hu ยท 2026

Climate change has intensified extreme weather and wildfire conditions globally. Canada experienced record-breaking wildfires in 2023 and 2025, burning millions of hectares and severely impacting the โ€ฆ

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Computer Science Preprint PDF DOI

Detecting RAG Extraction Attack via Dual-Path Runtime Integrity Game

Yuanbo Xie, Yingjie Zhang, Yulin Li, Shouyou Song, Xiaokun Chen, Zhihan Liu, Liya Su, Tingwen Liu ยท 2026

Retrieval-Augmented Generation (RAG) systems augment large language models with external knowledge, yet introduce a critical security vulnerability: RAG Knowledge Base Leakage, wherein adversarial proโ€ฆ

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Computer Science Preprint PDF DOI

Your Agent Is Mine: Measuring Malicious Intermediary Attacks on the LLM Supply Chain

Hanzhi Liu, Chaofan Shou, Hongbo Wen, Yanju Chen, Ryan Jingyang Fang, Yu Feng ยท 2026

Large language model (LLM) agents increasingly rely on third-party API routers to dispatch tool-calling requests across multiple upstream providers. These routers operate as application-layer proxies โ€ฆ

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Ledger-State Stigmergy: A Formal Framework for Indirect Coordination Grounded in Distributed Ledger State

Fernando Paredes Garcia ยท 2026

Autonomous software agents on blockchains solve distributed-coordination problems by reading shared ledger state instead of exchanging direct messages. Liquidation keepers, arbitrage bots, and other aโ€ฆ

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Negotiating Privacy with Smart Voice Assistants: Risk-Benefit and Control-Acceptance Tensions

Molly Campbell, Mohamad Sheikho Al Jasem, Ajay Kumar Shrestha ยท 2026

Smart Voice assistants (SVAs) are widely adopted by youth, yet privacy decision-making in these environments is often characterized by competing considerations rather than clear-cut preferences. Whileโ€ฆ

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Safeguarding LLMs Against Misuse and AI-Driven Malware Using Steganographic Canaries

Md Raz, Venkata Sai Charan Putrevu, Meet Udeshi, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri ยท 2026

AI-powered malware increasingly exploits cloud-hosted generative-AI services and large language models (LLMs) as analysis engines for reconnaissance and code generation. Simultaneously, enterprise uplโ€ฆ

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Kill-Chain Canaries: Stage-Level Tracking of Prompt Injection Across Attack Surfaces and Model Safety Tiers

Haochuan Kevin Wang, Zechen Zhang ยท 2026

Multi-agent LLM systems are entering production -- processing documents, managing workflows, acting on behalf of users -- yet their resilience to prompt injection is still evaluated with a single binaโ€ฆ

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Gender-Based Heterogeneity in Youth Privacy-Protective Behavior for Smart Voice Assistants: Evidence from Multigroup PLS-SEM

Molly Campbell, Yulia Bobkova, Ajay Kumar Shrestha ยท 2026

This paper investigates how gender shapes privacy decision-making in youth smart voice assistant (SVA) ecosystems. Using survey data from 469 Canadian youths aged 16-24, we apply multigroup Partial Leโ€ฆ

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From Personas to Programming: Gender-specific Effects of Design Thinking-Based Computing Education at Secondary Schools

Isabella Gra{ss}l, Gordon Fraser, Daniela Damian ยท 2026

Creative approaches to attract students to software engineering at an early age are emerging, yet their differential impact on gender remains unclear. This study investigates whether design thinking'sโ€ฆ

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Global brain drain and gain in high-potential student mobility

Tabia Tanzin Pramaa, Christopher M. Danfortha, Peter Sheridan Dodds ยท 2026

The mobility of high-potential individuals, particularly graduates from elite academic institutions, serves as a critical driver of global innovation and economic development. Despite its importance, โ€ฆ

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Towards Intelligent Spectrum Management: Spectrum Demand Estimation Using Graph Neural Networks

Mohamad Alkadamani, Amir Ghasemi, Halim Yanikomeroglu ยท 2026

The growing demand for wireless connectivity, combined with limited spectrum resources, calls for more efficient spectrum management. Spectrum sharing is a promising approach; however, regulators needโ€ฆ

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Agentic Peer-to-Peer Networks: From Content Distribution to Capability and Action Sharing

Taotao Wang, Lizhao You, Jingwen Tong, Chonghe Zhao, Shengli Zhang ยท 2026

The ongoing shift of AI models from centralized cloud APIs to local AI agents on edge devices is enabling \textit{Client-Side Autonomous Agents (CSAAs)} -- persistent personal agents that can plan, acโ€ฆ

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Required-edge Cycle Cover Problem: an ASP-Completeness Framework for Graph Problems and Puzzles

Kosuke Susukita, Junichi Teruyama ยท 2026

Proving the NP-completeness of pencil-and-paper puzzles typically relies on reductions from combinatorial problems such as the satisfiability problem (SAT). Although the properties of these problems aโ€ฆ

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Co-Design and Evaluation of a CPU-Free MPI GPU Communication Abstraction and Implementation

Patrick G. Bridges (University of New Mexico), Derek Schafer (University of New Mexico), Jack Lange (Oak Ridge National Laboratory), James B. White III (Oak Ridge National Laboratory), Anthony Skjellum (Tennessee Technological University), Evan Suggs (Tennessee Technological University), Thomas Hines (Tennessee Technological University), Purushotham Bangalore (University of Alabama), Matthew G. F. Dosanjh (Sandia National Laboratories), Whit Schonbein (Sandia National Laboratories) ยท 2026

Removing the CPU from the communication fast path is essential to efficient GPU-based ML and HPC application performance. However, existing GPU communication APIs either continue to rely on the CPU foโ€ฆ

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From Framework to Practice: Youth Negotiations of Privacy with Smart Voice Assistants Through the PEA-AI Lens

Molly Campbell, Yulia Bobkova, Ajay Kumar Shrestha ยท 2026

Smart voice assistants (SVAs) have become embedded in the daily lives of youth, introducing complex privacy challenges due to always-on listening, shared device usage, and opaque data practices. This โ€ฆ

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Privacy by Voice: Modeling Youth Privacy-Protective Behavior in Smart Voice Assistants

Molly Campbell, Ajay Kumar Shrestha ยท 2026

Smart Voice Assistants (SVAs) are deeply embedded in the lives of youth, yet the mechanisms driving the privacy-protective behaviors among young users remain poorly understood. This study investigatesโ€ฆ

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Malware Detection Through Memory Analysis

Sarah Nassar ยท 2026

This paper summarizes the research conducted for a malware detection project using the Canadian Institute for Cybersecurity's MalMemAnalysis-2022 dataset. The purpose of the project was to explore theโ€ฆ

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