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Showing 222 results for "cern" in Computer Science · Preprint
Computer Science Preprint PDF DOI

HGQ-LUT: Fast LUT-Aware Training and Efficient Architectures for DNN Inference

Chang Sun, Zhiqiang Que, Bakhtiar Zadeh, Qibin Liu, Kevin H. Alvarez, Wayne Luk, Maria Spiropulu · 2026

Lookup-table (LUT) based neural networks can deliver ultra-low latency and excellent hardware efficiency on FPGAs by mapping arithmetic operations directly onto the logic primitives. However, state-of…

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Computer Science Preprint PDF DOI

Scalable AI-assisted Workflow Management for Detector Design Optimization Using Distributed Computing

Derek Anderson, Amit Bashyal, Markus Diefenthaler, Cristiano Fanelli, Wen Guan, Tanja Horn, Alex Jentsch Meifeng Lin, Tadashi Maeno, Kei Nagai, Hemalata Nayak, Connor Pecar, Karthik Suresh, Fang-Ying Tsai, Anselm Vossen, Tianle Wang, Torre Wenaus · 2026

The Production and Distributed Analysis (PanDA) system, originally developed for the ATLAS experiment at the CERN Large Hadron Collider (LHC), has evolved into a robust platform for orchestrating larg…

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Computer Science Preprint PDF DOI

Trojan-Speak: Bypassing Constitutional Classifiers with No Jailbreak Tax via Adversarial Finetuning

Bilgehan Sel, Xuanli He, Alwin Peng, Ming Jin, Jerry Wei · 2026

Fine-tuning APIs offered by major AI providers create new attack surfaces where adversaries can bypass safety measures through targeted fine-tuning. We introduce Trojan-Speak, an adversarial fine-tuni…

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Computer Science Preprint PDF DOI

OrgForge-IT: A Verifiable Synthetic Benchmark for LLM-Based Insider Threat Detection

Jeffrey Flynt · 2026

Synthetic insider threat benchmarks face a consistency problem: corpora generated without an external factual constraint cannot rule out cross-artifact contradictions. The CERT dataset -- the field's …

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MITRA: An AI Assistant for Knowledge Retrieval in Physics Collaborations

Abhishikth Mallampalli, Sridhara Dasu · 2026

Large-scale scientific collaborations, such as the Compact Muon Solenoid (CMS) at CERN, produce a vast and ever-growing corpus of internal documentation. Navigating this complex information landscape …

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Computer Science Preprint PDF DOI

Case Study: Performance Analysis of a Virtualized XRootD Frontend in Large-Scale WAN Transfers

J M da Silva, M A Costa, R L Iope · 2026

This paper presents a detailed case study of the T2_BR_SPRACE storage frontend architecture and its observed performance in high-intensity data transfers. The architecture is composed of a heterogeneo…

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Computer Science Preprint PDF DOI

Clear, Compelling Arguments: Rethinking the Foundations of Frontier AI Safety Cases

Shaun Feakins, Ibrahim Habli, Phillip Morgan · 2026

This paper contributes to the nascent debate around safety cases for frontier AI systems. Safety cases are structured, defensible arguments that a system is acceptably safe to deploy in a given contex…

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Computer Science Preprint PDF DOI

Unix Tools and the FITO Category Mistake: Crash Consistency and the Protocol Nature of Persistence

Paul Borrill · 2026

Unix tools such as ls, cp, mv, and rename expose a filesystem abstraction that appears to present a single, authoritative state evolving through atomic transitions. This abstraction is false. We pre…

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Computer Science Preprint PDF DOI

Signal Decomposition Reveals Structure in Insider Threat Detection under Sparse Temporal Data

Hayden Beadles, Jericho Cain · 2026

Insider threat detection is difficult because malicious behavior is rare, irregular, and buried in long periods of inactivity. In enterprise audit data, most windows contain little activity, while att…

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Evaluating Nova 2.0 Lite model under Amazon's Frontier Model Safety Framework

Satyapriya Krishna, Matteo Memelli, Tong Wang, Abhinav Mohanty, Claire O'Brien Rajkumar, Payal Motwani, Rahul Gupta, Spyros Matsoukas · 2026

Amazon published its Frontier Model Safety Framework (FMSF) as part of the Paris AI summit, following which we presented a report on Amazon's Premier model. In this report, we present an evaluation of…

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Computer Science Preprint PDF DOI

Behavioral Analytics for Continuous Insider Threat Detection in Zero-Trust Architectures

Gaurav Sarraf · 2026

Insider threats are a particularly tricky cybersecurity issue, especially in zero-trust architectures (ZTA) where implicit trust is removed. Although the rule of thumb is never trust, always verify, a…

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Computer Science Preprint PDF DOI

Enabling Heterogeneous Performance Analysis for Scientific Workloads

Maksymilian Graczyk, Vincent Desbiolles, Stefan Roiser, Andrea Guerrieri · 2025

Heterogeneous computing integrates diverse processing elements, such as CPUs, GPUs, and FPGAs, within a single system, aiming to leverage the strengths of each architecture to optimize performance and…

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Computer Science Preprint PDF DOI

Accelerating Control Systems with GitOps: A Path to Automation and Reliability

M. Gonzalez, M. Acosta · 2025

GitOps is a foundational approach for modernizing infrastructure by leveraging Git as the single source of truth for declarative configurations. The poster explores how GitOps transforms traditional c…

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Quantifying CBRN Risk in Frontier Models

Divyanshu Kumar, Nitin Aravind Birur, Tanay Baswa, Sahil Agarwal, Prashanth Harshangi · 2025

Frontier Large Language Models (LLMs) pose unprecedented dual-use risks through the potential proliferation of chemical, biological, radiological, and nuclear (CBRN) weapons knowledge. We present the …

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Computer Science Preprint PDF DOI

Beyond Text: Multimodal Jailbreaking of Vision-Language and Audio Models through Perceptually Simple Transformations

Divyanshu Kumar, Shreyas Jena, Nitin Aravind Birur, Tanay Baswa, Sahil Agarwal, Prashanth Harshangi · 2025

Multimodal large language models (MLLMs) have achieved remarkable progress, yet remain critically vulnerable to adversarial attacks that exploit weaknesses in cross-modal processing. We present a syst…

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The hereditariness problem for the \v{C}ern\'y conjecture

Emanuele Rodaro, Riccardo Venturi · 2025

This paper addresses the lifting problem for the \v{C}ern\'y conjecture: namely, whether the validity of the conjecture for a quotient automaton can always be transferred (or "lifted") to the original…

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Computer Science Preprint PDF DOI

AI-Enhanced Operator Assistance for UNICOS Applications

Bernard Tam, Jean-Charles Tournier, Fernando Varela Rodriguez · 2025

This project explores the development of an AI-enhanced operator assistant for UNICOS, CERN's UNified Industrial Control System. While powerful, UNICOS presents a number of challenges, including the c…

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Computer Science Preprint PDF DOI

Detectability Thresholds for Network Attacks on Static Graphs and Temporal Networks: Information-Theoretic Limits and Nearly-Optimal Tests

Abdulkader Hajjouz, Elena Avksentieva · 2025

We develop a consolidated theory for the detectability of network-borne attacks under two canonical observation models: (i) a static graph drawn from an Erdos-Renyi background with a planted anomalous…

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Incorporating AI incident reporting into telecommunications law and policy: Insights from India

Avinash Agarwal, Manisha J. Nene · 2025

The integration of artificial intelligence (AI) into telecommunications infrastructure introduces novel risks, such as algorithmic bias and unpredictable system behavior, that fall outside the scope o…

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Computer Science Preprint PDF DOI

List of Results on the \v{C}ern\'y Conjecture and Reset Thresholds for Synchronizing Automata

Mikhail V. Volkov · 2025

We survey results in the literature that establish the \v{C}ern\'y conjecture for various classes of finite automata. We also list classes for which the conjecture remains open, but a quadratic (in th…

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