Publications
Recent publications by members of the research group. To see a full list of publications for any individual, view their research profile.
- Guo, Z, Fang, L, Lin, J, Qian, Y, Zhao, S, Wang, Z, Dong, J, Chen, C, Arandjelović, O & Lau, CP 2024 'A Grey-box attack against latent diffusion model-based image editing by posterior collapse' arXiv. <http://arxiv.org/abs/2408.10901>
- Zhao, S, Jia, M, Guo, Z, Gan, L, Fu, J, Feng, Y, Pan, F & Tuan, LA 2024 'A Survey of Backdoor Attacks and Defenses on Large Language Models: Implications for Security Measures'.
- Guo, Z, Li, W, Qian, Y, Arandelovic, O & Fang, L 2024, A White-Box False Positive Adversarial Attack Method on Contrastive Loss Based Offline Handwritten Signature Verification Models. in International Conference on Artificial Intelligence and Statistics. vol. 238, pp. 901-909.
- Lei, Y, He, S, Khamis, M & Ye, J 2024, 'An end-to-end review of gaze estimation and its interactive applications on handheld mobile devices', ACM Computing Surveys, vol. 56, no. 2, 34. https://doi.org/10.1145/3606947
- Guo, Z, Dong, J, Qian, Y, Wang, K, Li, W, Guo, Z, Wang, Y, Li, Y, Arandjelović, O & Fang, L 2024 'Artwork protection against neural style transfer using locally adaptive adversarial color attack' arXiv. <http://arxiv.org/abs/2401.09673>
- Mohammadi, M, Fell, C, Morrison, D, Syed, S, Konanahalli, P, Bell, S, Bryson, G, Arandjelović, O, Harrison, DJ & Harris-Birtill, D 2024, 'Automated reporting of cervical biopsies using artificial intelligence', PLOS Digital Health, vol. 3, no. 4, e0000381. https://doi.org/10.1371/journal.pdig.0000381
- Hanson, NN, Ounsley, JP, Henry, J, Terzić, K & Caneco, B 2024, 'Automatic detection of fish scale circuli using deep learning', Biology Methods and Protocols, vol. 9, no. 1, bpae056. https://doi.org/10.1093/biomethods/bpae056
- Bach, B, Keck, M, Rajabiyazdi, F, Losev, T, Meirelles, I, Dykes, J, Laramee, RS, AlKadi, M, Stoiber, C, Huron, S, Perin, C, Morais, L, Aigner, W, Kosminsky, D, Boucher, M, Knudsen, S, Manataki, A, Aerts, J, Hinrichs, U, Roberts, JC & Carpendale, S 2024, 'Challenges and opportunities in data visualization education: A call to action', IEEE Transactions on Visualization and Computer Graphics, vol. 30, no. 1, pp. 649-660. https://doi.org/10.1109/TVCG.2023.3327378
- Connor, R, Dearle, A, Claydon, B & Vadicamo, L 2024, 'Correlations of cross-entropy loss in machine learning', Entropy, vol. 26, no. 6, 491. https://doi.org/10.3390/e26060491
- Kus, E, Miguel, IJ, Akgun, O & Dang, N 2024, Cost-Efficient Training for Automated Algorithm Selection. in Cost-Efficient Training for Automated Algorithm Selection. PMLR, International Conference on Automated Machine Learning, Paris, France, 9/09/24. <https://openreview.net/forum?id=BJEQvOAxrP>
- Eccles, BJ, Rodgers, P, Kilpatrick, P, Spence, I & Varghese, B 2024, 'DNNShifter: an efficient DNN pruning system for edge computing', Future Generation Computer Systems, vol. 152, pp. 43-54. https://doi.org/10.48550/arXiv.2309.06973, https://doi.org/10.1016/j.future.2023.09.025
- Wu, D, Ullah, R, Rodgers, P, Kilpatrick, P, Spence, I & Varghese, B 2024, 'EcoFed: efficient communication for DNN partitioning-based federated learning', IEEE Transactions on Parallel and Distributed Systems, vol. Early Access, 10380682. https://doi.org/10.1109/TPDS.2024.3349617
- Chhetri, TR, Dehury, CK, Varghese, B, Fensel, A, Srirama, SN & DeLong, RJ 2024, 'Enabling privacy-aware interoperable and quality IoT data sharing with context', Future Generation Computer Systems, vol. 157, pp. 164-179. https://doi.org/10.1016/j.future.2024.03.039