Expertini Research Research

Browse Research Papers

46,580+ open-access research outputs.

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

Beyond Latency: A System-Level Characterization of MPC and FHE for PPML

Pengzhi Huang, Kiwan Maeng, G. Edward Suh ยท 2026

Privacy protection has become an increasing concern in modern machine learning applications. Privacy-preserving machine learning (PPML) has attracted growing research attention, with approaches such aโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Practice Less, Explain More: LLM-Supported Self-Explanation Improves Explanation Quality on Transfer Problems in Calculus

Eason Chen, Xinyi Tang, Yvonne Zhao, Meiyi Chen, Meryam Elmir, Elizabeth McLaughlin, Mingyu Yuan, Yumo Wang, Shyam Agarwal, Jared Cochrane, Jionghao Lin, Tongshuang Wu, Ken Koedinger ยท 2026

We conducted a between-subjects experiment (N=92) comparing three conditions in a calculus learning environment: no self-explanation (control), menu-based self-explanation, and open-ended self-explanaโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

From Domain Understanding to Design Readiness: a playbook for GenAI-supported learning in Software Engineering

Rafal Wlodarski ยท 2026

Software engineering courses often require rapid upskilling in supporting knowledge areas such as domain understanding and modeling methods. We report an experience from a two-week milestone in a mastโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Phyelds: A Pythonic Framework for Aggregate Computing

Gianluca Aguzzi, Davide Domini, Nicolas Farabegoli, Mirko Viroli ยท 2026

Aggregate programming is a field-based coordination paradigm with over a decade of exploration and successful applications across domains including sensor networks, robotics, and IoT, with implementatโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

When Labels Are Scarce: A Systematic Mapping of Label-Efficient Code Vulnerability Detection

Noor Khalal, Chakib Fettal, Lazhar Labiod, Mohamed Nadif ยท 2026

Machine-learning-based code vulnerability detection (CVD) has progressed rapidly, from deep program representations to pretrained code models and LLM-centered pipelines. Yet dependable vulnerability lโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

GreenFLag: A Green Agentic Approach for Energy-Efficient Federated Learning

Theodora Panagea, Nikolaos Koursioumpas, Lina Magoula, Ramin Khalili ยท 2026

Progressing toward a new generation of mobile networks, a clear focus on integrating distributed intelligence across the system is observed to drive performance, autonomy, and real-time adaptability. โ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

BayesInsights: Modelling Software Delivery and Developer Experience with Bayesian Networks at Bloomberg

Serkan Kirbas, Federica Sarro, David Williams ยท 2026

As software in industry grows in size and complexity, so does the volume of engineering data that companies generate and use. Ideally, this data could be used for many purposes, including informing deโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Backdoor Attacks on Decentralised Post-Training

Oguzhan Ersoy, Nikolay Blagoev, Jona te Lintelo, Stefanos Koffas, Marina Krcek, Stjepan Picek ยท 2026

Decentralised post-training of large language models utilises data and pipeline parallelism techniques to split the data and the model. Unfortunately, decentralised post-training can be vulnerable to โ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Friends, Foes, and First Authors: A Game Theory Model of How Power Plays Rewrite Academic Co-Authorship Networks

Amit Bengal, Teddy Lazebnik ยท 2026

Scientific research increasingly depends on multi-author collaboration, yet the systems used to allocate authorship credit remain vulnerable to conflict, strategic behavior, and project breakdown. Altโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

On the Use of Commit Messages for Corrective Software Maintenance: A Systematic Mapping Study

Syful Islam, Stefano Zacchiroli ยท 2026

Corrective maintenance is crucial to ensure the quality of software, thereby improving reliability and user experience. In a version control system (VCS), developers write commit messages to document โ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Same Rules, Mixed Messages: Exploring Community Perceptions of Academic Dishonesty in Computing Education

Chandler C. Payne, Kai A. Hackney, Lucas Guarenti Zangari, Sterling R. Kalogeras, Emmanuel Munoz, Juan Sebastian Sanchez-Gomez, Olufisayo Omojokun, Pedro Guillermo Feijoo-Garcia ยท 2026

Academic dishonesty has long been a concern in computing education, and the rapid growth of online learning and generative artificial intelligence (AI) has further complicated how cheating is perceiveโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Machine Learning in the Wild: Early Evidence of Non-Compliant ML-Automation in Open-Source Software

Zohaib Arshid, Daniele Bifolco, Fiorella Zampetti, Massimiliano Di Penta ยท 2026

The increasing availability of Machine Learning (ML) models, particularly foundation models, enables their use across a range of downstream applications, from scenarios with missing data to safety-criโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Client-Verifiable and Efficient Federated Unlearning in Low-Altitude Wireless Networks

Yuhua Xu, Mingtao Jiang, Chenfei Hu, Yinglong Wang, Chuan Zhang, Meng Li, Ming Lu, Liehuang Zhu ยท 2026

In low-altitude wireless networks (LAWN), federated learning (FL) enables collaborative intelligence among unmanned aerial vehicles (UAVs) and integrated sensing and communication (ISAC) devices whileโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

6GAgentGym: Tool Use, Data Synthesis, and Agentic Learning for Network Management

Jiao Chen, Jianhua Tang, Xiaotong Yang, Zuohong Lv ยท 2026

Autonomous 6G network management requires agents that can execute tools, observe the resulting state changes, and adapt their decisions accordingly. Existing benchmarks based on static questions or scโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Stand-Alone Complex or Vibercrime? Exploring the adoption and innovation of GenAI tools, coding assistants, and agents within cybercrime ecosystems

Jack Hughes, Ben Collier, Daniel R. Thomas ยท 2026

Existential risk scenarios relating to Generative Artificial Intelligence often involve advanced systems or agentic models breaking loose and using hacking tools to gain control over critical infrastrโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

TrafficMoE: Heterogeneity-aware Mixture of Experts for Encrypted Traffic Classification

Qing He, Xiaowei Fu, Lei Zhang ยท 2026

Encrypted traffic classification is a critical task for network security. While deep learning has advanced this field, the occlusion of payload semantics by encryption severely challenges standard modโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

GraphRAG-Router: Learning Cost-Efficient Routing over GraphRAGs and LLMs with Reinforcement Learning

Dongzhe Fan, Chuanhao Ji, Zimu Wang, Tong Chen, Qiaoyu Tan ยท 2026

Graph-based retrieval-augmented generation (GraphRAG) has recently emerged as a powerful paradigm for knowledge-intensive question answering, especially for tasks that require structured evidence orgaโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Hierarchical Battery-Aware Game Algorithm for ISL Power Allocation in LEO Mega-Constellations

Kangkang Sun, Jianhua Li, Xiuzhen Chen, Jianyong Zheng, Minyi Guo ยท 2026

Sustaining high inter-satellite link (ISL) throughput under intermittent solar harvesting is a fundamental challenge for LEO mega-constellations. Existing works impose static power ceilings that ignorโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Multi-AUV Cooperative Target Tracking Based on Supervised Diffusion-Aided Multi-Agent Reinforcement Learning

Jiaao Ma, Chuan Lin, Guangjie Han, Shengchao Zhu, Zhenyu Wang, Chen An ยท 2026

In recent years, advances in underwater networking and multi-agent reinforcement learning (MARL) have significantly expanded multi-autonomous underwater vehicle (AUV) applications in marine exploratioโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Deep Learning-Assisted Improved Differential Fault Attacks on Lightweight Stream Ciphers

Kok Ping Lim, Dongyang Jia, Iftekhar Salam ยท 2026

Lightweight cryptographic primitives are widely deployed in resource-constraint environment, particularly in the Internet of Things (IoT) devices. Due to their public accessibility, these devices are โ€ฆ

Read Paper โ†’
โ† Prev Page 35 of 2329 Next โ†’