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๐Ÿ” avoidance learning ๐Ÿ“‚ Computer Science
Showing 46580 results for "avoidance learning" in Computer Science
Computer Science Preprint PDF DOI

Decentralised Trust and Security Mechanisms for IoT Networks at the Edge: A Comprehensive Review

Khandoker Ashik Uz Zaman, Mahdi H. Miraz, Mohammed N. M. Ali ยท 2026

INTRODUCTION: The proliferation of the amalgamation of IoT and edge computing has increased the demand for decentralised trust and security mechanisms capable of operating across heterogeneous and resโ€ฆ

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Computer Science Preprint PDF DOI

Lightweight Cybersickness Detection based on User-Specific Eye and Head Tracking Data in Virtual Reality

Yijun Wang, Mihai Bace, Maria Torres Vega ยท 2026

The occurrence of cybersickness in virtual reality (VR) significantly impairs users' perception and sense of immersion. Therefore, timely detection of cybersickness and the application of appropriate โ€ฆ

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HELO-APR: Enhancing Low-Resource Program Repair through Cross-Lingual Knowledge Transfer

Zhipeng Wang, Boyang Yang, Yidong Wan, Liuye Guo, You Lv, Tao Zheng, Zhuowei Wang, Tieke He ยท 2026

Large Language Models (LLMs) perform well on automatic program repair (APR) for high-resource programming languages (HRPLs), but their effectiveness drops sharply in low-resource programming languagesโ€ฆ

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Computer Science Preprint PDF DOI

Governed MCP: Kernel-Level Tool Governance for AI Agents via Logit-Based Safety Primitives

Daeyeon Son ยท 2026

AI agents increasingly call external tools (file system, network, APIs) through the Model Context Protocol (MCP). These tool calls are the agent's syscalls -- privileged operations with side effects oโ€ฆ

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Towards Deep Encrypted Training: Low-Latency, Memory-Efficient, and High-Throughput Inference for Privacy-Preserving Neural Networks

Nges Brian Njungle, Eric Jahns, Michel A. Kinsy ยท 2026

Privacy-preserving machine learning (PPML) has become increasingly important in applications where sensitive data must remain confidential. Homomorphic Encryption (HE) enables computation directly on โ€ฆ

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Computer Science Preprint PDF DOI

A Stackelberg Game Framework with Drainability Guardrails for Pricing and Scaling in Multi-Tenant GPU Cloud Platforms

Junji Yan, Asrin Efe Yorulmaz, Hanchen Zhou, Tamer Basar ยท 2026

Modern Graphics Processing Unit (GPU)-backed services must satisfy strict latency service-level objectives (SLOs) while controlling spare-capacity cost. In multi-tenant GPU cloud platforms, this tradeโ€ฆ

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Mapping Election Toxicity on Social Media across Issue, Ideology, and Psychosocial Dimensions

Lei Cao, Wen Zeng, Xinyue Wu, Eun Cheol Choi, Emilio Ferrara ยท 2026

Online political hostility is pervasive, yet it remains unclear how toxicity varies across campaign issues and political ideology, and what psychosocial signals and framing accompany toxic expression โ€ฆ

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Privacy-Aware Machine Unlearning with SISA for Reinforcement Learning-Based Ransomware Detection

Jannatul Ferdous, Rafiqul Islam, Md Zahidul Islam ยท 2026

Ransomware detection systems increasingly rely on behavior-based machine learning to address evolving attack strategies. However, emerging privacy compliance, data governance, and responsible AI deploโ€ฆ

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ICLAD: In-Context Learning with Comparison-Guidance for Audio Deepfake Detection

Benjamin Chou, Yi Zhu, Surya Koppisetti ยท 2026

Audio deepfakes pose a significant security threat, yet current state-of-the-art (SOTA) detection systems do not generalize well to realistic in-the-wild deepfakes. We introduce a novel \textbf{I}n-\tโ€ฆ

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Teacher-Authored Prompts for Configuring Student-AI Dialogue: K-12 Classroom Implementation

Alex Liu, Min Sun, Lief Esbenshade, Victor Tian, Zachary Zhang, Kevin He ยท 2026

GenAI has rapidly entered instructional and learning settings as a teaching assistant or AI tutor. However, less is known about how pedagogical intent connects to the learning generated within these sโ€ฆ

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ArtifactNet: Detecting AI-Generated Music via Forensic Residual Physics

Heewon Oh ยท 2026

We present ArtifactNet, a lightweight framework that detects AI-generated music by reframing the problem as forensic physics -- extracting and analyzing the physical artifacts that neural audio codecsโ€ฆ

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Investigating Conversational Agents to Support Secondary School Students Learning CSP

Matthew Frazier, Kostadin Damevski, Lori Pollock ยท 2026

Secondary school students enrolled in the AP Computer Science Principles (CSP) course commonly utilize web resources (e.g., tutorials, Q\&A sites) to better understand key concepts in the curriculum. โ€ฆ

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MOMENTA: Mixture-of-Experts Over Multimodal Embeddings with Neural Temporal Aggregation for Misinformation Detection

Yeganeh Abdollahinejad, Ahmad Mousavi, Naeemul Hassan, Kai Shu, Nathalie Japkowicz, Shahriar Khosravi, Amir Karami ยท 2026

The widespread dissemination of multimodal content on social media has made misinformation detection increasingly challenging, as misleading narratives often arise not only from textual or visual contโ€ฆ

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Beyond One-Size-Fits-All: Adaptive Test-Time Augmentation for Sequential Recommendation

Xibo Li, Liang Zhang ยท 2026

Test-time augmentation (TTA) has become a promising approach for mitigating data sparsity in sequential recommendation by improving inference accuracy without requiring costly model retraining. Howeveโ€ฆ

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Co-Design of CNN Accelerators for TinyML using Approximate Matrix Decomposition

Jose Juan Hernandez Morales, Georgios Mentzos, Frank Hannig, Konstantinos Balaskas, Georgios Zervakis, Jorg Henkel, Jurgen Teich ยท 2026

The paradigm shift towards local and on-device inference under stringent resource constraints is represented by the tiny machine learning (TinyML) domain. The primary goal of TinyML is to integrate inโ€ฆ

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Robust Synchronisation for Federated Learning in The Face of Correlated Device Failure

Stefan Behfar, Richard Mortier ยท 2026

Probabilistic Synchronous Parallel (PSP) is a technique in distributed learning systems to reduce synchronization bottlenecks by sampling a subset of participating nodes per round. In Federated Learniโ€ฆ

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Characterization of Real Communication Patterns and Congestion Dynamics in HPC Interconnection Networks

Miguel Sanchez de La Rosa, Gabriel Gomez-Lopez, Alejandro Baviera, Jose Duro, Francisco J. andujar, Jesus Escudero-Sahuquillo, Pedro J. Garcia, Francisco J. Alfaro, Maria E. Gomez, Julio Sahuquillo, Jose L. Sanchez, Francisco J. Quiles ยท 2026

The interconnection network is a key component of Supercomputers and Data centers, and its design must cope with the increasing communication demands of current applications and services; otherwise, iโ€ฆ

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LLMSniffer: Detecting LLM-Generated Code via GraphCodeBERT and Supervised Contrastive Learning

Mahir Labib Dihan, Abir Muhtasim ยท 2026

The rapid proliferation of Large Language Models (LLMs) in software development has made distinguishing AI-generated code from human-written code a critical challenge with implications for academic inโ€ฆ

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EquivFusion: Unifying Hardware Equivalence Checking from Algorithms to Netlists via MLIR

Jiaying Zhu, Baoqi Zhang, Mengxia Tao, Kezhi Li, Hao Yan, Qiang Xu, Min Li ยท 2026

Ensuring functional consistency between high-level algorithmic models and low-level hardware implementations is a critical challenge, particularly as modern design flows increasingly span heterogeneouโ€ฆ

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Polarization by Default: Auditing Recommendation Bias in LLM-Based Content Curation

Nicolo Pagan, Christopher Barrie, Chris Andrew Bail, Petter Tornberg ยท 2026

Large Language Models (LLMs) are increasingly deployed to curate and rank human-created content, yet the nature and structure of their biases in these tasks remains poorly understood: which biases areโ€ฆ

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