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. in U Endriss, FS Melo, K Bach, A Bugarín-Diz, JM Alonso-Moral, S Barro & F Heintz (eds), 27th European conference on artificial intelligence, 19–24 October 2024, Santiago de Compostela, Spain: including 13th Conference on prestigious applications of intelligent systems (PAIS 2024). Frontiers in artificial intelligence and applications, vol. 392, IOS Press, Amsterdam, pp. 1414 - 1421. https://doi.org/10.3233/FAIA240643
- Buhr, CR, Smith, H, Huppertz, T, Bahr-Hamm, K, Matthias, C, Cuny, C, Snijders, JP, Ernst, BP, Blaikie, A, Kelsey, T, Kuhn, S & Eckrich, J 2024, 'Assessing unknown potential—quality and limitations of different large language models in the field of otorhinolaryngology', Acta Oto-Laryngologica, vol. Latest Articles, pp. 1-6. https://doi.org/10.1080/00016489.2024.2352843
- Yazicilar, OY, Akgun, O & Miguel, IJ 2024, Automated nogood-filtered fine-grained streamlining: a case study on covering arrays. in ModRef 2024 - The 23rd workshop on Constraint Modelling and Reformulation (ModRef). The 23rd workshop on Constraint Modelling and Reformulation, Girona, Spain, 2/09/24. <https://modref.github.io/papers/ModRef2024_AutomatedNogoodFilteredFineGrainedStreamlining.pdf>
- 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
- Pellegrino, A, Akgün, Ö, Dang, N, Kiziltan, Z & Miguel, I 2024, Automatic feature learning for Essence: a case study on car sequencing. in ModRef 2024 - The 23rd workshop on Constraint Modelling and Reformulation (ModRef). The 23rd workshop on Constraint Modelling and Reformulation, Girona, Spain, 2/09/24. <https://modref.github.io/papers/ModRef2024_AutomaticFeatureLearningforEssence.pdf>
- 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
- Seifen, C, Huppertz, T, Gouveris, H, Bahr-Hamm, K, Pordzik, J, Eckrich, J, Smith, H, Kelsey, T, Blaikie, A, Matthias, C, Kuhn, S & Buhr, CR 2024, 'Chasing sleep physicians: ChatGPT-4o on the interpretation of polysomnographic results', European Archives of Oto-Rhino-Laryngology. https://doi.org/10.1007/s00405-024-08985-3
- 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