output
20122026
most citedLearning Combinatorial Optimization on Graphs: A Survey with Applications to Networking

168 citations

Showing 2023Show all

14 papers · 1 filter

cs.SE2023★ 17 cited

Collaborative software design and modeling in virtual reality

Martin Stancek, Ivan Polasek, Tibor Zalabai +3

Context: Software engineering is becoming more and more distributed. Developers and other stakeholders are often located in different locations, departments, and countries and oper…

cs.AI2023

Towards Formal Fault Injection for Safety Assessment of Automated Systems

Ashfaq Farooqui, Behrooz Sangchoolie

Reasoning about safety, security, and other dependability attributes of autonomous systems is a challenge that needs to be addressed before the adoption of such systems in day-to-d…

cs.CV2023★ 3 cited

Component attention network for multimodal dance improvisation recognition

Jia Fu, Jiarui Tan, Wenjie Yin +2

Dance improvisation is an active research topic in the arts. Motion analysis of improvised dance can be challenging due to its unique dynamics. Data-driven dance motion analysis, i…

cs.LG2023★ 6 cited

Ensemble Neural Networks for Remaining Useful Life (RUL) Prediction

Ahbishek Srinivasan, Juan Carlos Andresen, Anders Holst

A core part of maintenance planning is a monitoring system that provides a good prognosis on health and degradation, often expressed as remaining useful life (RUL). Most of the cur…

cs.SE2023

Summary of the 4th International Workshop on Requirements Engineering and Testing (RET 2017)

Markus Borg, Elizabeth Bjarnason, Michael Unterkalmsteiner +3

The RET (Requirements Engineering and Testing) workshop series provides a meeting point for researchers and practitioners from the two separate fields of Requirements Engineering (…

cs.SE2023★ 3 cited

Open Source Software in the Public Sector: 25 years and still in its infancy

Johan Linåker, Gregorio Robles, Deborah Bryant +1

The proliferation of Open Source Software (OSS) adoption and collaboration has surged within industry, resulting in its ubiquitous presence in commercial offerings and shared digit…

econ.TH2023★ 6 cited

Duopoly insurers' incentives for data quality under a mandatory cyber data sharing regime

Carlos Barreto, Olof Reinert, Tobias Wiesinger +1

We study the impact of data sharing policies on cyber insurance markets. These policies have been proposed to address the scarcity of data about cyber threats, which is essential t…

physics.atom-ph2023★ 134 cited

Roadmap towards the redefinition of the second

N. Dimarcq, M. Gertsvolf, G. Mileti +34

This paper outlines the roadmap towards the redefinition of the second, which was recently updated by the CCTF Task Force created by the CCTF in 2020. The main achievements and the…

cs.NI2023★ 3 cited

Towards Automated PKI Trust Transfer for IoT

Joel Höglund, Shahid Raza, Martin Furuhed

IoT deployments grow in numbers and size and questions of long time support and maintainability become increasingly important. To prevent vendor lock-in, standard compliant capabil…

cs.CR2023★ 3 cited

BLEND: Efficient and blended IoT data storage and communication with application layer security

Joel Höglund, Shahid Raza

Many IoT use cases demand both secure storage and secure communication. Resource-constrained devices cannot afford having one set of crypto protocols for storage and another for co…

cs.CR2023★ 8 cited

On the Resilience of Machine Learning-Based IDS for Automotive Networks

Ivo Zenden, Han Wang, Alfonso Iacovazzi +3

Modern automotive functions are controlled by a large number of small computers called electronic control units (ECUs). These functions span from safety-critical autonomous driving…

cs.CR2023★ 10 cited

Ensemble of Random and Isolation Forests for Graph-Based Intrusion Detection in Containers

Alfonso Iacovazzi, Shahid Raza

We propose a novel solution combining supervised and unsupervised machine learning models for intrusion detection at kernel level in cloud containers. In particular, the proposed s…

cs.NE2023★ 13 cited

Efficient Decoding of Compositional Structure in Holistic Representations

Denis Kleyko, Connor Bybee, Ping-Chen Huang +4

We investigate the task of retrieving information from compositional distributed representations formed by Hyperdimensional Computing/Vector Symbolic Architectures and present nove…

cs.LG2023★ 90 cited

An Experimental Study of Byzantine-Robust Aggregation Schemes in Federated Learning

Shenghui Li, Edith C. -H. Ngai, Thiemo Voigt

Byzantine-robust federated learning aims at mitigating Byzantine failures during the federated training process, where malicious participants may upload arbitrary local updates to…