activity
20222026
most citedDeception for Cyber Defence: Challenges and Opportunities

12 citations · 13 across the 8 of their papers we have counts for

collaborators

8 papers

cs.HC2026

To Believe or Not To Believe: Comparing Supporting Information Tools to Aid Human Judgments of AI Veracity

Jessica Irons, Patrick Cooper, Necva Bolucu +6

With increasing awareness of the hallucination risks of generative artificial intelligence (AI), we see a growing shift toward providing information tooling to help users determine…

cs.LG2026

MetaLead: A Comprehensive Human-Curated Leaderboard Dataset for Transparent Reporting of Machine Learning Experiments

Roelien C. Timmer, Necva Bölücü, Stephen Wan

Leaderboards are crucial in the machine learning (ML) domain for benchmarking and tracking progress. However, creating leaderboards traditionally demands significant manual effort.…

cs.CL2025

A Position Paper on the Automatic Generation of Machine Learning Leaderboards

Roelien C Timmer, Yufang Hou, Stephen Wan

An important task in machine learning (ML) research is comparing prior work, which is often performed via ML leaderboards: a tabular overview of experiments with comparable conditi…

cs.CR2024

Honeyfile Camouflage: Hiding Fake Files in Plain Sight

Roelien C. Timmer, David Liebowitz, Surya Nepal +1

Honeyfiles are a particularly useful type of honeypot: fake files deployed to detect and infer information from malicious behaviour. This paper considers the challenge of naming ho…

cs.IR2023★ 1 cited

NASA Science Mission Directorate Knowledge Graph Discovery

Roelien C. Timmer, Fech Scen Khoo, Megan Mark +4

The size of the National Aeronautics and Space Administration (NASA) Science Mission Directorate (SMD) is growing exponentially, allowing researchers to make discoveries. However,…

cs.CR2022★ 12 cited

Deception for Cyber Defence: Challenges and Opportunities

David Liebowitz, Surya Nepal, Kristen Moore +6

Deception is rapidly growing as an important tool for cyber defence, complementing existing perimeter security measures to rapidly detect breaches and data theft. One of the factor…

cs.CL2022

TSM: Measuring the Enticement of Honeyfiles with Natural Language Processing

Roelien C. Timmer, David Liebowitz, Surya Nepal +1

Honeyfile deployment is a useful breach detection method in cyber deception that can also inform defenders about the intent and interests of intruders and malicious insiders. A key…

cs.CL2022

Can pre-trained Transformers be used in detecting complex sensitive sentences? -- A Monsanto case study

Roelien C. Timmer, David Liebowitz, Surya Nepal +1

Each and every organisation releases information in a variety of forms ranging from annual reports to legal proceedings. Such documents may contain sensitive information and releas…