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European Lighthouse on Secure and Safe AI

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  1. 2025
  2. Published

    Transfer learning from inorganic materials to ivory detection

    Aghasanli, A., Angelov, P., Kangin, D., Kerns, J. & Shepherd, R. F., 3/05/2025, In: Scientific Reports. 15, 15536.

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

  3. Published

    IDEAL: Interpretable-by-Design ALgorithms for learning from foundation feature spaces

    Angelov, P., Kangin, D. & Zhang, Z., 14/04/2025, In: Neurocomputing. 626, 129464.

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

  4. Published

    Vision-based Landing Guidance through Tracking and Orientation Estimation

    Ferreira, J., Pinto, J., Moura, J., Li, Y., Castro, C. & Angelov, P., 8/04/2025, 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE

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

  5. 2024
  6. Published

    Adversarial Attack Detection via Fuzzy Predictions

    Li, Y., Angelov, P. & Suri, N., 31/12/2024, In: IEEE Transactions on Fuzzy Systems. 32, 12, p. 7015-7024 10 p.

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

  7. Forthcoming

    Complex-Cycle-Consistent Diffusion Model for Monaural Speech Enhancement

    Li, Y., Sun, Y. & Angelov, P., 9/12/2024, (Accepted/In press) Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence. Philadelphia: AAAI

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

  8. Published

    Self-Supervised Representation Learning for Adversarial Attack Detection

    Li, Y., Angelov, P. & Suri, N., 26/11/2024, Computer Vision – ECCV 2024: 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part I. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Cham: Springer, p. 236-252 18 p. (Lecture Notes in Computer Science; vol. 15118).

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

  9. Published

    IMAFD: An Interpretable Multi-stage Approach to Flood Detection from time series Multispectral Data

    Zhang, Z., Angelov, P., Kangin, D. & Longepe, N., 13/05/2024, Arxiv.

    Research output: Working paper › Preprint

  10. Published

    Unsupervised Domain Adaptation within Deep Foundation Latent Spaces

    Kangin, D. & Angelov, P., 11/05/2024.

    Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review

  11. Forthcoming

    PUDD: Towards Robust Multi-modal Prototype-based Deepfake Detection

    Lopez Pellicer, A., Li, Y. & Angelov, P., 6/03/2024, (Accepted/In press). 9 p.

    Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review

  12. 2023
  13. Published

    Interpretable-Through-Prototypes Deepfake Detection for Diffusion Models

    Aghasanli, A., Kangin, D. & Angelov, P., 2/10/2023, Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2023. Computer Vision Foundation, p. 467-474 8 p.

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

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