| Detecting anomalous data using auto-encoders JTA Andrews, EJ Morton, LD Griffin International Journal of Machine Learning and Computing 6 (1), 21, 2016 | 68 | 2016 |
| Transfer Representation-Learning for Anomaly Detection JTA Andrews, T Tanay, EJ Morton, LD Griffin ICML 2016, Anomaly Detection Workshop, 2016 | 53 | 2016 |
| “unexpected item in the bagging area”: Anomaly detection in x-ray security images LD Griffin, M Caldwell, JTA Andrews, H Bohler IEEE Transactions on Information Forensics and Security 14 (6), 1539-1553, 2018 | 15 | 2018 |
| AI-enabled future crime M Caldwell, JTA Andrews, T Tanay, LD Griffin Crime Science 9 (1), 1-13, 2020 | 11 | 2020 |
| Built-in vulnerabilities to imperceptible adversarial perturbations T Tanay, JTA Andrews, LD Griffin arXiv preprint arXiv:1806.07409, 2018 | 6 | 2018 |
| Representation-learning for anomaly detection in complex x-ray cargo imagery JTA Andrews, N Jaccard, TW Rogers, LD Griffin Anomaly Detection and Imaging with X-Rays (ADIX) II 10187, 101870E, 2017 | 5 | 2017 |
| Multiple-identity image attacks against face-based identity verification JTA Andrews, T Tanay, LD Griffin arXiv preprint arXiv:1906.08507, 2019 | 3 | 2019 |
| Anomaly Detection for Security Imaging JTA Andrews, N Jaccard, TW Rogers, T Tanay, LD Griffin 2nd Defence and Security Doctoral Symposium, 2016 | 1 | 2016 |
| Conditional Adversarial Camera Model Anonymization JTA Andrews, Y Zhang, LD Griffin European Conference on Computer Vision, 217-235, 2020 | | 2020 |
| I call BS: Fraud Detection in Crowdfunding Campaigns B Perez, SR Machado, JTA Andrews, N Kourtellis arXiv preprint arXiv:2006.16849, 2020 | | 2020 |
| Camera Model Anonymisation with Augmented cGANs JTA Andrews, Y Zhang, LD Griffin arXiv preprint arXiv:2002.07798, 2020 | | 2020 |
| Variability in Free Colour Naming Across the Full Colour Gamut D Mylonas, J Andrews, L Griffin PERCEPTION 46 (10), 1222-1222, 2017 | | 2017 |
Lewis D GriffinProfessor of Computational Vision, University College LondonVerified email at cs.ucl.ac.uk
