Expertini Research Research

Browse Research Papers

4,207+ open-access research outputs.

โœ• Clear
๐Ÿ” daniel neider ๐Ÿ“‚ Computer Science
Showing 4207 results for "daniel neider" in Computer Science
Computer Science Preprint PDF DOI

From Mirage to Grounding: Towards Reliable Multimodal Circuit-to-Verilog Code Generation

Guang Yang, Xing Hu, Xiang Chen, Xin Xi ยท 2026

Multimodal large language models (MLLMs) are increasingly used to translate visual artifacts into code, from UI mockups into HTML to scientific plots into Python scripts. A circuit diagram can be viewโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Gender Bias in YouTube Exposure: Allocative and Structural Inequalities in Political Information Environments

Jipeng Tan, Weifeng Zhang, Ye Wu, Jialin Guo, Yong Min ยท 2026

Recommendation algorithms have become the dominant mechanism for information distribution on digital platforms, profoundly shaping personalized information consumption environments. However, gender biโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Meta-Learning and Targeted Differential Privacy to Improve the Accuracy-Privacy Trade-off in Recommendations

Peter Mullner, Dominik Kowald, Markus Schedl, Elisabeth Lex ยท 2026

Balancing differential privacy (DP) with recommendation accuracy is a key challenge in privacy-preserving recommender systems, since DP-noise degrades accuracy. We address this trade-off at both the dโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Embedded Rust or C Firmware? Lessons from an Industrial Microcontroller Use Case with Ariel OS

Bipin Thapa, Daniele Alfonso, Lorenzo Bini, Licio Mapelli, Kaspar Schleiser, Romain Fouquet, Emmanuel Baccelli ยท 2026

As Rust gains traction for developing safer systems software, a reality check for the microcontroller hardware segment becomes necessary. How ready is the Rust ecosystem for this segment? Can Rust comโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Coasting Through Class: Learning Opportunity Loss from Practice Avoidance During Individual Seatwork

Ashish Gurung, Jordan Gutterman, Danielle R. Thomas, Mingyu Feng, Vincent Aleven, Kenneth R. Koedinger ยท 2026

Measures of disengagement provide insights into unproductive use of learning opportunities. Although measures of active disengagement, such as gaming the system and mind-wandering, are well studied, lโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Why AI Harms Can't Be Fixed One Identity at a Time: What 5300 Incident Reports Reveal About Intersectionality

Edyta Bogucka, Sanja Scepanovic, Daniele Quercia ยท 2026

AI risk assessment is the primary tool for identifying harms caused by AI systems. These include intersectional harms, which arise from the interaction between identity categories (e.g., class and skiโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Quantifying the Persistence of Daily Routines

Nguyen Luong, Talayeh Aledavood ยท 2026

Daily life is structured by recurring routines that coordinate biological rhythms with social and occupational demands. Individual differences in work schedules, family obligations, and social commitmโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

The Vehicle May Be Sick: Denial of Diagnostic Services by Exploiting the CAN Transport Protocol

Seungjin Baek, Seonghoon Jeong, Huy Kang Kim ยท 2026

Vehicle diagnostics has become essential for detecting in-vehicle errors and ensuring safety. While the Unified Diagnostic Services (UDS) protocol is widely adopted for diagnostic operations, it relieโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

From Stateless Queries to Autonomous Actions: A Layered Security Framework for Agentic AI Systems

Kexin Chu ยท 2026

Agentic AI systems face security challenges that stateless large language models do not. They plan across extended horizons, maintain persistent memory, invoke external tools, and coordinate with peerโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Semantic Denial of Service in LLM-controlled robots

Jonathan Steinberg, Oren Gal ยท 2026

Safety-oriented instruction-following is supposed to keep LLM-controlled robots safe. We show it also creates an availability attack surface. By injecting short safety-plausible phrases (1-5 tokens) iโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Peer Identity Bias in Multi-Agent LLM Evaluation: An Empirical Study Using the TRUST Democratic Discourse Analysis Pipeline

Juergen Dietrich ยท 2026

The TRUST democratic discourse analysis pipeline exposes its large language model (LLM) components to peer model identity through multiple structural channels -- a design feature whose bias implicatioโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Automation-Exploit: A Multi-Agent LLM Framework for Adaptive Offensive Security with Digital Twin-Based Risk-Mitigated Exploitation

Biagio Andreucci, Arcangelo Castiglione ยท 2026

The offensive security landscape is highly fragmented: enterprise platforms avoid memory-corruption vulnerabilities due to Denial of Service (DoS) risks, Automatic Exploit Generation (AEG) systems sufโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Multi-User ISAC with Heterogeneous Unknown Parameters: Optimal Beamforming based on Distribution Information

Chan Xu, Shuowen Zhang ยท 2026

This paper studies an integrated sensing and communication (ISAC) system where a multi-antenna base station (BS) communicates with multiple single-antenna users in the downlink and senses the unknown โ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Reelay: Online Temporal Logic Monitoring Framework

Dogan Ulus ยท 2026

We present Reelay, a unified online temporal logic monitoring framework designed for the rigorous analysis and runtime verification of cyber-physical systems. Reelay addresses the fragmentation of exiโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Position Paper: Denial-of-Service against Multi-Round Transaction Simulation

Yuzhe Tang, Yibo Wang, Wanning Ding, Jiaqi Chen, Taesoo Kim ยท 2026

Transaction simulation is an important subsystem of block building, denial of whose service could lead to severe damage to the blockchain ecosystem and transaction delivery. Denial of block building hโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Automated Extraction of Pharmacokinetic Parameters from Structured XML Scientific Articles: Enhancing Data Accessibility at Scale

Remya Ampadi Ramachandran, Lisa A. Tell, Sidharth Rai, Nuwan Millagaha Gedara, Hossein Sholehrasa, Jim E. Riviere, Majid Jaberi-Douraki ยท 2026

In the field of pharmacology, there is a notable absence of centralized, comprehensive, and up-to-date repositories of PK data. This poses a significant challenge for R&D as it can be a time-consumingโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

DAIRE: A lightweight AI model for real-time detection of Controller Area Network attacks in the Internet of Vehicles

Shahid Alam, Amina Jameel, Zahida Parveen, Ehab Alnfrawy, Adeela Ashraf, Raza Uddin, Jamal Aqib ยท 2026

The Internet of Vehicles (IoV) is advancing modern transportation by improving safety, efficiency, and intelligence. However, the reliance on the Controller Area Network (CAN) introduces critical secuโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

SDNGuardStack: An Explainable Ensemble Learning Framework for High-Accuracy Intrusion Detection in Software-Defined Networks

Ashikuzzaman, Md. Saifuzzaman Abhi, Mahabubur Rahman, Md. Manjur Ahmed, Md. Mehedi Hasan, Md. Ahsan Arif ยท 2026

Software-Defined Networking (SDN) is another technology that has been developing in the last few years as a relevant technique to improve network programmability and administration. Nonetheless, its cโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Bias in the Tails: How Name-conditioned Evaluative Framing in Resume Summaries Destabilizes LLM-based Hiring

Huy Nghiem, Phuong-Anh Nguyen-Le, Sy-Tuyen Ho, Hal Daume III ยท 2026

Research has documented LLMs' name-based bias in hiring and salary recommendations. In this paper, we instead consider a setting where LLMs generate candidate summaries for downstream assessment. In aโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Fairness Audits of Institutional Risk Models in Deployed ML Pipelines

Kelly McConvey, Dipto Das, Maya Ghai, Angelina Zhai, Rosa Lee, Shion Guha ยท 2026

Fairness audits of institutional risk models are critical for understanding how deployed machine learning pipelines allocate resources. Drawing on multi-year collaboration with Centennial College, wheโ€ฆ

Read Paper โ†’
Page 1 of 211 Next โ†’