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37 Publications


2026 | Journal Article | LibreCat-ID: 64209
R. P. Bora, P. Terhörst, R. N. J. Veldhuis, R. Ramachandra, and K. B. Raja, “Bay-CoFE: Bayesian consistency-driven feature elimination for eXplainable AI,” Neurocomputing, vol. 667, p. 132219, 2026, doi: 10.1016/J.NEUCOM.2025.132219.
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2026 | Journal Article | LibreCat-ID: 64208
R. P. Bora, P. Terhörst, R. N. J. Veldhuis, R. Ramachandra, and K. B. Raja, “FRIES: Framework for inconsistency estimation of saliency metrics,” Pattern Recognit., vol. 171, p. 112136, 2026, doi: 10.1016/J.PATCOG.2025.112136.
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2025 | Book Chapter | LibreCat-ID: 64201
I. DeAndres-Tame, M. Faisal, R. Tolosana, R. Al-Refai, R. Vera-Rodriguez, and P. Terhörst, “From Pixels to Words: Leveraging Explainability in Face Recognition Through Interactive Natural Language Processing,” in Lecture Notes in Computer Science, Cham: Springer Nature Switzerland, 2025.
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2025 | Conference Paper | LibreCat-ID: 64204
D. Voth, L. Dane, J. Grebe, S. Peitz, and P. Terhörst, “Effective Backdoor Learning on Open-Set Face Recognition Systems,” 2025, doi: 10.1109/wacv61041.2025.00109.
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2025 | Conference Paper | LibreCat-ID: 64203
R. Al-Refai, P. Hempel, C. Biagi, and P. Terhörst, “FALCON: Fair Face Recognition via Local Optimal Feature Normalization,” 2025, doi: 10.1109/wacv61041.2025.00337.
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2025 | Conference Paper | LibreCat-ID: 64207
R. P. Bora, P. Terhörst, R. N. J. Veldhuis, R. Ramachandra, and K. B. Raja, “BELIEF - Bayesian Sign Entropy Regularization for LIME Framework,” in Conference on Uncertainty in Artificial Intelligence, Rio Othon Palace, Rio de Janeiro, Brazil, 21-25 July 2025, 2025, vol. 286, pp. 332–354.
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2025 | Conference Paper | LibreCat-ID: 64205
Y. Xu, P. Terhörst, M. Pedersen, and K. Raja, “Chasing Shadows: Solving Deepfake Detection Benchmarks Using Irrelevant Features Only,” 2025, doi: 10.1109/fg61629.2025.11099163.
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2025 | Journal Article | LibreCat-ID: 64206
S. Groß, S. Heindorf, and P. Terhörst, “A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks,” CoRR, vol. abs/2505.19920, 2025, doi: 10.48550/ARXIV.2505.19920.
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2025 | Journal Article | LibreCat-ID: 64210
R. Al-Refai, P. P. Ramasamy, R. Ramesh, P. Arias-Cabarcos, and P. Terhörst, “A Comprehensive Re-Evaluation of Biometric Modality Properties in the Modern Era,” arXiv preprint arXiv:2508.13874, 2025.
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2024 | Journal Article | LibreCat-ID: 64193
Y. Xu, P. Terhörst, M. Pedersen, and K. Raja, “Analyzing Fairness in Deepfake Detection With Massively Annotated Databases,” IEEE Transactions on Technology and Society, vol. 5, no. 1, pp. 93–106, 2024, doi: 10.1109/tts.2024.3365421.
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2024 | Conference Paper | LibreCat-ID: 64192
R. P. Bora, P. Terhörst, R. Veldhuis, R. Ramachandra, and K. Raja, “SLICE: Stabilized LIME for Consistent Explanations for Image Classification,” 2024, doi: 10.1109/cvpr52733.2024.01045.
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2024 | Conference Paper | LibreCat-ID: 64191
M. Huber, A. T. Luu, P. Terhörst, and N. Damer, “Efficient Explainable Face Verification based on Similarity Score Argument Backpropagation,” 2024, doi: 10.1109/wacv57701.2024.00467.
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2024 | Journal Article | LibreCat-ID: 64197
A. K. Chaurasia, M. Fallahi, T. Strufe, P. Terhörst, and P. A. Cabarcos, “NeuroIDBench: An open-source benchmark framework for the standardization of methodology in brainwave-based authentication research,” Journal of Information Security and Applications, vol. 85, Art. no. 103832, 2024, doi: 10.1016/j.jisa.2024.103832.
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2024 | Book Chapter | LibreCat-ID: 64202
R. P. Bora, P. Terhörst, R. Veldhuis, R. Ramachandra, and K. Raja, “CoFE: Consistency-Driven Feature Elimination for eXplainable AI,” in Lecture Notes in Computer Science, Cham: Springer Nature Switzerland, 2024.
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2024 | Conference Paper | LibreCat-ID: 64196
P. Rot, P. Terhörst, P. Peer, and V. Štruc, “ASPECD: Adaptable Soft-Biometric Privacy-Enhancement Using Centroid Decoding for Face Verification,” 2024, doi: 10.1109/fg59268.2024.10581923.
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2024 | Conference Paper | LibreCat-ID: 64198
R. Al-Refai et al., “On the Trustworthiness of Face Morphing Attack Detectors,” 2024, doi: 10.1109/ijcb62174.2024.10744447.
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2024 | Conference Paper | LibreCat-ID: 64195
P. Saha, A. Sinha, and P. Terhörst, “How does Rejecting Low-Confidence Decisions in Face Recognition Affect Fairness?,” 2024, doi: 10.1109/iwbf62628.2024.10593911.
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2023 | Conference Paper | LibreCat-ID: 53358
P. Terhörst et al., “QMagFace: Simple and Accurate Quality-Aware Face Recognition,” 2023, doi: 10.1109/wacv56688.2023.00348.
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2023 | Conference Paper | LibreCat-ID: 53357
C. Biagi, L. Rethfeld, A. Kuijper, and P. Terhörst, “Explaining Face Recognition Through SHAP-Based Pixel-Level Face Image Quality Assessment,” 2023, doi: 10.1109/ijcb57857.2023.10448905.
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2023 | Journal Article | LibreCat-ID: 53356
P. Terhörst, M. Huber, N. Damer, F. Kirchbuchner, K. Raja, and A. Kuijper, “Pixel-Level Face Image Quality Assessment for Explainable Face Recognition,” IEEE Transactions on Biometrics, Behavior, and Identity Science, vol. 5, no. 2, pp. 288–297, 2023, doi: 10.1109/tbiom.2023.3263186.
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