World's Best Scientists 2026 revealed!

Overview

Lewis D. Griffin is affiliated with University College London in the United Kingdom. Their research primarily focuses on computer science, with a substantial contribution to artificial intelligence.

The scientist's work spans several subfields including artificial intelligence, computer vision and pattern recognition, signal processing, biophysics, and computer networks and communications.

Main topics covered in their research include:

  • Adversarial Robustness in Machine Learning
  • Topic Modeling
  • Anomaly Detection Techniques and Applications
  • Hate Speech and Cyberbullying Detection
  • Network Security and Intrusion Detection
  • Advanced Malware Detection Techniques
  • Spectroscopy Techniques in Biomedical and Chemical Research

Lewis D. Griffin has co-authored papers frequently with several researchers, including:

  • Maximilian Mozes
  • Bennett Kleinberg
  • T. Davies
  • T. Kimberly
  • Pontus Stenetorp

Their recent papers illustrate a diverse interest within their field. Some notable publications include:

  • AI-enabled future crime, 2020, Crime Science
  • Changing the HTS Paradigm: AI-Driven Iterative Screening for Hit Finding, 2020, SLAS DISCOVERY
  • Warning: Humans cannot reliably detect speech deepfakes, 2023, PLoS ONE
  • Machine Learning of Raman Spectroscopy Data for Classifying Cancers: A Review of the Recent Literature, 2022, Diagnostics
  • Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilities, 2023, arXiv (Cornell University)

Lewis D. Griffin has a notable presence in publication venues such as:

  • arXiv (Cornell University)
  • Crime Science
  • SLAS DISCOVERY
  • PLoS ONE
  • Diagnostics

Their research output reflects a significant focus on advancing knowledge in machine learning applications related to security, biomedical data analysis, and artificial intelligence challenges.

Best Publications

  • Spatial normalization and averaging of diffusion tensor MRI data sets

    Derek K. Jones;Lewis D. Griffin;Daniel C. Alexander;Marco Catani

  • Zen and the art of medical image registration: correspondence, homology, and quality

    William R. Crum;Lewis D. Griffin;Derek L. G. Hill;David John Hawkes

  • Using Basic Image Features for Texture Classification

    M. Crosier;L. D. Griffin

  • A Boundary Tilting Persepective on the Phenomenon of Adversarial Examples

    Thomas Tanay;Lewis D. Griffin

  • Automated method for the rapid and precise estimation of adherent cell culture characteristics from phase contrast microscopy images

    Nicolas Jaccard;Lewis D. Griffin;Ana Keser;Rhys J. Macown

  • Scale Space Methods in Computer Vision

    Lewis D. Griffin;Martin Lillholm

  • Multiscale Histogram of Oriented Gradient Descriptors for Robust Character Recognition

    Andrew J. Newell;Lewis D. Griffin

  • Polarized light imaging of white matter architecture.

    Luiza Larsen;Lewis D. Griffin;David GRäßel;Otto W. Witte

  • Writer identification using oriented Basic Image Features and the Delta encoding

    Andrew J. Newell;Lewis D. Griffin

  • Scale and Segmentation of Grey-Level Images Using Maximum Gradient Paths

    Lewis D. Griffin;Alan C. F. Colchester;Glynn P. Robinson

  • Transfer representation-learning for anomaly detection

    J Andrews;T Tanay;EJ Morton;LD Griffin

  • Superficial and deep structure in linear diffusion scale space: isophotes, critical points and separatrices

    Lewis D. Griffin;Alan C. F. Colchester

  • Feature-Based Image Analysis

    Martin Lillholm;Mads Nielsen;Lewis D. Griffin

  • Detection of concealed cars in complex cargo X-ray imagery using Deep Learning.

    Nicolas Jaccard;Thomas W. Rogers;Edward J. Morton;Lewis D. Griffin

  • The Second Order Local-Image-Structure Solid

    L.D. Griffin

  • Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples

    Maximilian Mozes;Pontus Stenetorp;Bennett Kleinberg;Lewis D. Griffin

  • Natural Image Character Recognition Using Oriented Basic Image Features

    Andrew J. Newell;Lewis D. Griffin

  • Automated X-ray image analysis for cargo security: Critical review and future promise

    Thomas W. Rogers;Nicolas Jaccard;Edward J. Morton;Lewis D. Griffin

  • Scale-imprecision space

    Lewis D. Griffin

  • Texture classification with a dictionary of basic image features

    M. Crosier;L.D. Griffin

Frequent Co-Authors

David J. Hawkes
David J. Hawkes University College London
Daniel C. Alexander
Daniel C. Alexander University College London
Derek L. G. Hill
Derek L. G. Hill Panoramic Digital Health
Derek K. Jones
Derek K. Jones Cardiff University
Josef T. Kittler
Josef T. Kittler University College London
Thomas Surrey
Thomas Surrey The Francis Crick Institute
Marco Catani
Marco Catani King's College London
Mads Nielsen
Mads Nielsen University of Copenhagen
Meng Liang
Meng Liang Tianjin Medical University
Graeme P. Penney
Graeme P. Penney King's College London

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