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

TEMPLATEFUZZ: Fine-Grained Chat Template Fuzzing for Jailbreaking and Red Teaming LLMs

Qingchao Shen, Zibo Xiao, Lili Huang, Enwei Hu, Yongqiang Tian, Junjie Chen ยท 2026

Large Language Models (LLMs) are increasingly deployed across diverse domains, yet their vulnerability to jailbreak attacks, where adversarial inputs bypass safety mechanisms to elicit harmful outputsโ€ฆ

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Computer Science Preprint PDF DOI

Learning Project-wise Subsequent Code Edits via Interleaving Neural-based Induction and Tool-based Deduction

Chenyan Liu, Yun Lin, Yuhuan Huang, Jiaxin Chang, Binhang Qi, Bo Jiang, Zhiyong Huang, Jin Song Dong ยท 2026

In industrial and open-source software engineering tasks, developers often perform project-wise code editing tasks, including feature enhancement, refactoring, and bug fixing, where the leading AI modโ€ฆ

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Computer Science Preprint PDF DOI

Mitigating S-RAHA: An On-device Framework to Prevent Forwarding of Re-Captured Images

Keshav Sood, Iynkaran Natgunanathan, Purathani Praitheeshan, Praitheeshan Kirupananthan ยท 2026

Protecting sensitive visual content from unauthorized redistribution is a growing challenge for privacy focused mobile applications, including dating platforms. Screenshot prevention mechanisms, rely โ€ฆ

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Computer Science Preprint PDF DOI

Fully Homomorphic Encryption on Llama 3 model for privacy preserving LLM inference

Anes Abdennebi, Nadjia Kara, Laaziz Lahlou ยท 2026

The applications of Generative Artificial Intelligence (GenAI) and their intersections with data-driven fields, such as healthcare, finance, transportation, and information security, have led to signiโ€ฆ

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Computer Science Preprint PDF DOI

Hybrid Adaptive Tuning for Tiered Memory Systems

Xi Wang, Jie Liu, Shuangyan Yang, Jongryool Kim, Pengfei Su, Dong Li ยท 2026

Memory tiering provides a cost-effective solution to increase memory capacity, utilization, and even bandwidth. Memory tiering relies on system software for memory profiling, detection of frequently aโ€ฆ

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Computer Science Preprint PDF DOI

Evaluating Cross-Architecture Performance Modeling of Distributed ML Workloads Using StableHLO

Jonas Svedas, Nathan Laubeuf, Ryan Harvey, Arjun Singh, Changhai Man, Abubakr Nada, Tushar Krishna, James Myers, Debjyoti Bhattacharjee ยท 2026

Predicting the performance of large-scale distributed machine learning (ML) workloads across multiple accelerator architectures remains a central challenge in ML system design. Existing GPU and TPU foโ€ฆ

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Computer Science Preprint PDF DOI

Robust Reasoning and Learning with Brain-Inspired Representations under Hardware-Induced Nonlinearities

William Youngwoo Chung, Hamza Errahmouni Barkam, Tamoghno Das, Mohsen Imani ยท 2026

Traditional machine learning depends on high-precision arithmetic and near-ideal hardware assumptions, which is increasingly challenged by variability in aggressively scaled semiconductor devices. Comโ€ฆ

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Computer Science Preprint PDF DOI

NIH-MPINet: A Large-Scale Feature-Rich Network Dataset for Mapping the Frontiers of Team Science

Cuiran Shi, Shuying Han, Shreya Kusumanchi, Mia Zhou, Didong Li ยท 2026

This study presents a large-scale network dataset, NIH-MPINet, curated from NIH RePORTER and PubMed, characterizing collaboration among multiple Principal Investigators (multi-PIs) on NIH R01-equivaleโ€ฆ

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Predictive Bayesian Arbitration: A Scalable Noisy-OR Model with Service Criticality Awareness

Anil Jangam, Ganesh Karthick Rajendran, Roy Kantharajah ยท 2026

Geographically High-Available (Geo-HA) cluster systems are essential for service continuity in distributed cloud-native environments. However, traditional arbitration mechanisms, which are often prediโ€ฆ

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Understanding Large-Scale HPC System Behavior Through Cluster-Based Visual Analytics

Allison Austin, Shilpika, Yan To Linus Lam, Yun-Hsin Kuo, Venkatram Vishwanath, Michael E. Papka, Kwan-Liu Ma ยท 2026

In high-performance computing (HPC) environments, system monitoring data is often unlabeled and high-dimensional, making it difficult to reliably detect and understand anomalous computing nodes. The gโ€ฆ

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A Synthetic Conversational Smishing Dataset for Social Engineering Detection

Carl Lochstampfor, Ayan Roy ยท 2026

Smishing (SMS phishing) has become a serious cybersecurity threat, especially for elderly and cyber-unaware individuals, causing financial loss and undermining user trust. Although prior work has focuโ€ฆ

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Predicting User Satisfaction in Online Education Platforms: A Large Language Model Based Multi-Modal Review Mining Framework

Arman Bekov, Azamat Nurgali ยท 2026

Online education platforms have experienced explosive growth over the past decade, generating massive volumes of user-generated content in the form of reviews, ratings, and behavioral logs. These heteโ€ฆ

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Exploring Radiologists' Expectations of Explainable Machine Learning Models in Medical Image Analysis

Sara Ketabi, Matthias W. Wagner, Birgit Betina Ertl-Wagner, Greg A.Jamieson, Farzad Khalvati ยท 2026

In spite of the strong performance of machine learning (ML) models in radiology, they have not been widely accepted by radiologists, limiting clinical integration. A key reason is the lack of explainaโ€ฆ

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EA-Agent: A Structured Multi-Step Reasoning Agent for Entity Alignment

Yixuan Nan, Xixun Lin, Yanmin Shang, Ge Zhang, Zheng Fang, Fang Fang, Yanan Cao ยท 2026

Entity alignment (EA) aims to identify entities across different knowledge graphs (KGs) that refer to the same real-world object and plays a critical role in knowledge fusion and integration. Traditioโ€ฆ

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GPU Acceleration of Sparse Fully Homomorphic Encrypted DNNs

Lara D'Agata, Carlos Agullo-Domingo, Oscar Vera-Lopez, Kaustubh Shivdikar, Ardhi W. B. Yudha, Ferhat Yaman, David Kaeli, Jose L. Abellan, Ian Colbert, Jose Cano ยท 2026

Fully homomorphic encryption (FHE) has recently attracted significant attention as both a cryptographic primitive and a systems challenge. Given the latest advances in accelerated computing, FHE preseโ€ฆ

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Human Centered Non Intrusive Driver State Modeling Using Personalized Physiological Signals in Real World Automated Driving

David Puertas-Ramirez, Raul Fernandez-Matellan, David Martin Gomez, Jesus G. Boticario ยท 2026

In vehicles with partial or conditional driving automation (SAE Levels 2-3), the driver remains responsible for supervising the system and responding to take-over requests. Therefore, reliable driver โ€ฆ

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RLSpoofer: A Lightweight Evaluator for LLM Watermark Spoofing Resilience

Hanbo Huang, Xuan Gong, Yiran Zhang, Hao Zheng, Shiyu Liang ยท 2026

Large language model (LLM) watermarking has emerged as a promising approach for detecting and attributing AI-generated text, yet its robustness to black-box spoofing remains insufficiently evaluated. โ€ฆ

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The Price of Ignorance: Information-Free Quotation for Data Retention in Machine Unlearning

Bin Han, Di Feng, Zexin Fang, Jie Wang, Hans D. Schotten ยท 2026

When users exercise data deletion rights under the General Data Protection Regulation (GDPR) and similar regulations, mobile network operators face a tradeoff: excessive machine unlearning degrades moโ€ฆ

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RedShell: A Generative AI-Based Approach to Ethical Hacking

Ricardo Bessa, Rui Claro, Joao Trindade, Joao Lourenco ยท 2026

The application of Machine Learning techniques in code generation is now a common practice for most developers. Tools such as ChatGPT from OpenAI leverage the natural language processing capabilities โ€ฆ

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Functional Misalignment in Human-AI Interactions on Digital Platforms

Kristina Lerman ยท 2026

Algorithmic systems, particularly social media recommenders, have achieved remarkable success in predicting behavior. By optimizing for observable signals such as clicks, views, and engagement, these โ€ฆ

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