| 2021 | IJCNN | Autoencoders Without Reconstruction for Textural Anomaly Detection. | Philip A. Adey, Samet Akay, Magnus Bordewich, Toby P. Breckon |
| 2020 | CVPR | Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation. | Seyma Yucer, Samet Akay, Noura Al Moubayed, Toby P. Breckon |
| 2020 | ICIP | Detecting Prohibited Items in X-Ray Images: a Contour Proposal Learning Approach. | Taimur Hassan, Meriem Bettayeb, Samet Akay, Salman H. Khan, Mohammed Bennamoun, Naoufel Werghi |
| 2019 | ICMLA | On the Impact of Object and Sub-Component Level Segmentation Strategies for Supervised Anomaly Detection within X-Ray Security Imagery. | Neelanjan Bhowmik, Yona Falinie A. Gaus, Samet Akay, Jack W. Barker, Toby P. Breckon |
| 2019 | IJCNN | Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection. | Samet Akay, Amir Atapour Abarghouei, Toby P. Breckon |
| 2019 | IJCNN | Evaluation of a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery. | Yona Falinie A. Gaus, Neelanjan Bhowmik, Samet Akay, Paolo M. Guilln-Garcia, Jack W. Barker, Toby P. Breckon |