• Efficient non-interactive anonymous communication 

  Eskeland, Sigurd; Boudko, Svetlana (Journal article; Peer reviewed, 2024)

  Methods for untraceable and anonymous communication, such as anonymous routing networks and dining cryptographers networks, are in general very complex and suffer from high performance overhead of a minimum order of ...

• IoT cybersecurity in 5G and beyond: a systematic literature review 

  Pirbhulal, Sandeep; Chockalingam, Sabarathinam; Shukla, Ankur; Abie, Habtamu (Journal article; Peer reviewed, 2024)

  The 5th generation (5G) and beyond use Internet of Things (IoT) to offer the feature of remote monitoring for different applications such as transportation, healthcare, and energy. There are several advantages of 5G and ...

• Assessing the Quality of Human-Generated Summaries with Weakly Supervised Learning 

  Olsen, Joakim; Næss, Arild Brandrud; Lison, Pierre (Chapter, 2021)

  This paper explores how to automatically measure the quality of human-generated summaries, based on a Norwegian corpus of real estate condition reports and their corresponding summaries. The proposed approach proceeds in ...

• Stream ciphers - Cryptography 

  Eskeland, Sigurd (NR-notat;, Research report, 2024)

  The purpose of this report is to highlight security principles in relation to efficient cryptographic algorithms and provide a brief introduction to a few such prominent algorithms. A need for efficient cryptographic ...

• Leveraging tensor kernels to reduce objective function mismatch in deep clustering 

  Trosten, Daniel Johansen; Løkse, Sigurd Eivindson; Jenssen, Robert; Kampffmeyer, Michael Christian (Journal article; Peer reviewed, 2024)

  Objective Function Mismatch (OFM) occurs when the optimization of one objective has a negative impact on the optimization of another objective. In this work we study OFM in deep clustering, and find that the popular ...

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