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Security Lancaster (Secure Machine Learning and Intelligence)

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  1. 2023
  2. Forthcoming

    Token Boosting for Robust Self-Supervised Visual Transformer Pre-training

    Rahmani, H., 27/02/2023, (Accepted/In press) IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  3. Forthcoming

    Unified Pose Sequence Modeling

    Rahmani, H., 27/02/2023, (Accepted/In press) IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  4. Published

    Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning

    Mu, R., Ruan, W., Soriano Marcolino, L., Jin, G. & Ni, Q., 7/02/2023, Proceedings of the 37th AAAI Conference on Artificial Intelligence. AAAI

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  5. Published

    A deep learning architecture for multi-class lung diseases classification using chest X-ray (CXR) images

    Alshmrani, G., Ni, Q., Jiang, R., Pervaiz, H. & M. Elshennawy , N., 1/02/2023, In: Alexandria Engineering Journal. 64, p. 923-935 13 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  6. Published

    An Improved eXplainable Point Cloud Classifier (XPCC)

    Arnold, N., Angelov, P. & Atkinson, P., 1/02/2023, In: IEEE Transactions on Artificial Intelligence. 4, 1, p. 71-80 10 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  7. Published

    Robust monocular 3D face reconstruction under challenging viewing conditions

    Mohaghegh, H., Rahmani, H. & Bennamoun, M., 1/02/2023, In: Neurocomputing. 520, p. 82-93 12 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  8. Published

    Online non-parametric changepoint detection with application to monitoring operational performance of network devices

    Austin, E., Romano, G., Eckley, I. & Fearnhead, P., 31/01/2023, In: Computational Statistics and Data Analysis. 177, 13 p., 107551.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  9. Published

    Similarity-based Deep Neural Network to Detect Imperceptible Adversarial Attacks

    Almeida Soares, E., Angelov, P. & Suri, N., 30/01/2023, Proceedings of the 2022 IEEE Symposium Series on Computational Intelligence, SSCI 2022. Ishibuchi, H., Kwoh, C.-K., Tan, A.-H., Srinivasan, D., Miao, C., Trivedi, A. & Crockett, K. (eds.). IEEE, p. 1028-1035 8 p. (Proceedings of the 2022 IEEE Symposium Series on Computational Intelligence, SSCI 2022).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  10. Forthcoming

    Reinforced Learning for Label-Efficient 3D Face Reconstruction

    Mohaghegh, H., Rahmani, H., Laga, H., Boussaid, F. & Bennamoun, M., 16/01/2023, (Accepted/In press) IEEE International Conference on Robotics and Automation (ICRA).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  11. 2022
  12. Published

    Detecting Abrupt Changes in the Presence of Local Fluctuations and Autocorrelated Noise

    Romano, G., Rigaill, G., Runge, V. & Fearnhead, P., 31/12/2022, In: Journal of the American Statistical Association. 117, 540, p. 2147-2162

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

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