Bridging Information Security and Environmental Criminology Research to Better Mitigate Cybercrime. - Colin C. Ife; Toby Davies; Steven J. Murdoch; Gianluca Stringhini (CoRR, 2019)

Spatial analysis of border closure intervention scheme in conflict-induced displacement. - Zahra Jafari; Toby Davies; Shane D. Johnson (GeoSim@SIGSPATIAL, 2020)

JABBIC Lookups: A Backend Telemetry-Based System for Malware Triage. - Octavian Ciprian Bordeanu; Gianluca Stringhini; Yun Shen; Toby Davies (SecureComm (2), 2021)

Brittle Features May Help Anomaly Detection. - Kimberly T. Mai; Toby Davies; Lewis D. Griffin (CoRR, 2021)

Detecting DeFi Securities Violations from Token Smart Contract Code with Random Forest Classification. - Arianna Trozze; Bennett Kleinberg; Toby Davies (CoRR, 2021)

Explaining the Decision of Anomalous Sound Detectors. - Kimberly T. Mai; Toby Davies; Lewis D. Griffin; Emmanouil Benetos (DCASE, 2022)

Self-Supervised Losses for One-Class Textual Anomaly Detection. - Kimberly T. Mai; Toby Davies; Lewis D. Griffin (CoRR, 2022)

Textwash - automated open-source text anonymisation. - Bennett Kleinberg; Toby Davies; Maximilian Mozes (CoRR, 2022)

"Offending with the accomplices of my accomplices": Evidence and implications regarding triadic closure in co-offending networks. - Alberto Nieto; Toby Davies; Hervé Borrion (Soc. Networks, 2022)

Examining the importance of existing relationships for co-offending: a temporal network analysis in Bogotá, Colombia (2005-2018). - Alberto Nieto; Toby Davies; Hervé Borrion (Appl. Netw. Sci., 2023)

Warning: Humans Cannot Reliably Detect Speech Deepfakes. - Kimberly T. Mai; Sergi D. Bray; Toby Davies; Lewis D. Griffin (CoRR, 2023)

Large Language Models in Cryptocurrency Securities Cases: Can ChatGPT Replace Lawyers? - Arianna Trozze; Toby Davies; Bennett Kleinberg (CoRR, 2023)

Of degens and defrauders: Using open-source investigative tools to investigate decentralized finance frauds and money laundering. - Arianna Trozze; Toby Davies; Bennett Kleinberg (Forensic Sci. Int. Digit. Investig., 2023)

Understanding the limitations of self-supervised learning for tabular anomaly detection. - Kimberly T. Mai; Toby Davies; Lewis D. Griffin (Pattern Anal. Appl., 2024)