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🔍 petar jovanovic 📂 Computer Science
Showing 89 results for "petar jovanovic" in Computer Science
Computer Science Preprint PDF DOI

Author response to commentaries on H is for Human and How (Not) to Evaluate Qualitative Research in HCI

Andy Crabtree · 2026

This is the authors response to commentaries on the original article H is for Human and How (Not) to Evaluate Qualitative Research in HCI, https://doi.org/10.1080/07370024.2025.2475743 Commentaries we…

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Computer Science Preprint PDF DOI

Risk Models as Mediating Artifacts: A Postphenomenological Analysis of the CIIM Framework in Cybersecurity Practice

Rommel Salas-Guerra · 2026

This article applies postphenomenological theory to the field of cybersecurity risk management, arguing that formal risk models function as mediating artifacts that shape how security practitioners or…

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Computer Science Preprint PDF DOI

Prismatoid Band-Unfolding Revisited

Joseph O'Rourke · 2026

It remains unknown if every prismatoid has a nonoverlapping edge-unfolding, a special case of the long-unsolved "D\"urer's problem." Recently nested prismatoids have been settled [Rad24] by mixing (in…

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Computer Science Preprint PDF DOI

Information and communications technologies for carbon sinks from economics and engineering perspectives

Yuze Dong, Jinsong Wu · 2026

Climate change has intensified the urgency of effective carbon sink solutions, yet the integration of Information and Communications Technologies (ICT) in these systems remains fragmented despite its …

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Computer Science Preprint PDF DOI

Understanding Accelerator Compilers via Performance Profiling

Ayaka Yorihiro, Griffin Berlstein, Pedro Pontes Garcia, Kevin Laeufer, Adrian Sampson · 2025

Accelerator design languages (ADLs), high-level languages that compile to hardware units, help domain experts quickly design efficient application-specific hardware. ADL compilers optimize datapaths a…

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Computer Science Preprint PDF DOI

A Scalable NorthPole System with End-to-End Vertical Integration for Low-Latency and Energy-Efficient LLM Inference

Michael V. DeBole, Rathinakumar Appuswamy, Neil McGlohon, Brian Taba, Steven K. Esser, Filipp Akopyan, John V. Arthur, Arnon Amir, Alexander Andreopoulos, Peter J. Carlson, Andrew S. Cassidy, Pallab Datta, Myron D. Flickner, Rajamohan Gandhasri, Guillaume J. Garreau, Megumi Ito, Jennifer L. Klamo, Jeffrey A. Kusnitz, Nathaniel J. McClatchey, Jeffrey L. McKinstry, Tapan K. Nayak, Carlos Ortega Otero, Hartmut Penner, William P. Risk, Jun Sawada, Jay Sivagnaname, Daniel F. Smith, Rafael Sousa, Ignacio Terrizzano, Takanori Ueda, Trent Gray-Donald, David Cox, Dharmendra S. Modha · 2025

A vertically integrated, end-to-end, research prototype system combines 288 NorthPole neural inference accelerator cards, offline training algorithms, a high-performance runtime stack, and a container…

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Computer Science Preprint PDF DOI

Trustworthy and Confidential SBOM Exchange

Eman Abu Ishgair, Chinenye Okafor, Marcela S. Melara, Santiago Torres-Arias · 2025

Software Bills of Materials (SBOMs) have become a regulatory requirement for improving software supply chain security and trust by means of transparency regarding components that make up software arti…

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Computer Science Preprint PDF DOI

A Composable Agentic System for Automated Visual Data Reporting

Peter Ferenc Gyarmati, Dominik Moritz, Torsten Moller, Laura Koesten · 2025

To address the brittleness of monolithic AI agents, our prototype for automated visual data reporting explores a Human-AI Partnership model. Its hybrid, multi-agent architecture strategically external…

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Computer Science Preprint PDF DOI

Hoist with His Own Petard: Inducing Guardrails to Facilitate Denial-of-Service Attacks on Retrieval-Augmented Generation of LLMs

Pan Suo, Yu-Ming Shang, San-Chuan Guo, Xi Zhang · 2025

Retrieval-Augmented Generation (RAG) integrates Large Language Models (LLMs) with external knowledge bases, improving output quality while introducing new security risks. Existing studies on RAG vulne…

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Towards Label-Only Membership Inference Attack against Pre-trained Large Language Models

Yu He, Boheng Li, Liu Liu, Zhongjie Ba, Wei Dong, Yiming Li, Zhan Qin, Kui Ren, Chun Chen · 2025

Membership Inference Attacks (MIAs) aim to predict whether a data sample belongs to the model's training set or not. Although prior research has extensively explored MIAs in Large Language Models (LLM…

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Computer Science Preprint PDF DOI

Explicit Weakening

Philip Wadler (University of Edinburgh) · 2024

I present a novel formulation of substitution, where facts about substitution that previously required tens or hundreds of lines to justify in a proof assistant now follow immediately - they can be ju…

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Computer Science Preprint PDF DOI

A Second Soul: Celebrating the Many Languages of Programming -- Festschrift in Honor of Peter Thiemann's Sixtieth Birthday

Annette Bieniusa (University of Kaiserslautern-Landau), Markus Degen (University of Applied Sciences Augsburg), Stefan Wehr (University of Applied Sciences Offenburg) · 2024

This Festschrift is dedicated to Peter Thiemann on the occasion of his sixtieth birthday, celebrating his significant contributions to the field of programming languages. Over the span of more than th…

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Computer Science Preprint PDF DOI

PAL: A Variability-Aware Policy for Scheduling ML Workloads in GPU Clusters

Rutwik Jain, Brandon Tran, Keting Chen, Matthew D. Sinclair, Shivaram Venkataraman · 2024

Large-scale computing systems are increasingly using accelerators such as GPUs to enable peta- and exa-scale levels of compute to meet the needs of Machine Learning (ML) and scientific computing appli…

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Petal-X: Human-Centered Visual Explanations to Improve Cardiovascular Risk Communication

Diego Rojo, Houda Lamqaddam, Lucija Gosak, Katrien Verbert · 2024

Cardiovascular diseases (CVDs), the leading cause of death worldwide, can be prevented in most cases through behavioral interventions. Therefore, effective communication of CVD risk and projected risk…

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Computer Science Preprint PDF DOI

Proceedings 15th Workshop on Programming Language Approaches to Concurrency and Communication-cEntric Software

Diana Costa (Universidade de Lisboa), Raymond Hu (Queen Mary University of London) · 2024

This volume contains the proceedings of PLACES 2024, the 15th edition of the Workshop on Programming Language Approaches to Concurrency and Communication-cEntric Software. The PLACES workshop series o…

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Computer Science Preprint PDF DOI

Reed-Muller codes have vanishing bit-error probability below capacity: a simple tighter proof via camellia boosting

Emmanuel Abbe, Colin Sandon · 2023

This paper shows that a class of codes such as Reed-Muller (RM) codes have vanishing bit-error probability below capacity on symmetric channels. The proof relies on the notion of `camellia codes': a c…

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Traversing automata with current state uncertainty under LTL$_f$ constraints

Andrew Ryzhikov, Petra Wolf · 2023

In this paper, we consider a problem which we call LTL$_f$ model checking on paths: given a DFA $\mathcal{A}$ and a formula $\phi$ in LTL on finite traces, does there exist a word $w$ such that every …

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Computer Science Preprint PDF DOI

Variational Quantum Harmonizer: Generating Chord Progressions and Other Sonification Methods with the VQE Algorithm

Paulo Vitor Itaborai, Tim Schwagerl, Maria Aguado Yanez, Arianna Crippa, Karl Jansen, Eduardo Reck Miranda, Peter Thomas · 2023

This work investigates a case study of using physical-based sonification of Quadratic Unconstrained Binary Optimization (QUBO) problems, optimized by the Variational Quantum Eigensolver (VQE) algorith…

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Computer Science Preprint PDF DOI

A Kripke Semantics for Hajek's BL

Andrew Lewis-Smith (University of Sheffield) · 2023

We provide a generalisation of Kripke semantics for Petr Hajek's Basic Logic and prove soundness and completeness of the same with respect to our semantics. We find this semantics easily specialises t…

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Computer Science Preprint PDF DOI

ICCPS: Impact discovery using causal inference for cyber attacks in CPSs

Rajib Ranjan Maiti, Sridhar Adepu, Emil Lupu · 2023

We propose a new method to quantify the impact of cyber attacks in Cyber Physical Systems (CPSs). In particular, our method allows to identify the Design Parameter (DPs) affected due to a cyber attack…

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