Philipp Terhörst

philipp.terhoerst@uni-paderborn.de
ID
97123

37 Publications

Mark all

[37]
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.
LibreCat | DOI
 
[36]
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.
LibreCat | DOI
 
[35]
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.
LibreCat | DOI
 
[34]
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.
LibreCat | DOI
 
[33]
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.
LibreCat | DOI
 
[32]
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.
LibreCat
 
[31]
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.
LibreCat | DOI
 
[30]
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.
LibreCat | DOI
 
[29]
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.
LibreCat
 
[28]
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.
LibreCat | DOI
 
[27]
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.
LibreCat | DOI
 
[26]
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.
LibreCat | DOI
 
[25]
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.
LibreCat | DOI
 
[24]
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.
LibreCat | DOI
 
[23]
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.
LibreCat | DOI
 
[22]
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.
LibreCat | DOI
 
[21]
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.
LibreCat | DOI
 
[20]
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.
LibreCat | DOI
 
[19]
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.
LibreCat | DOI
 
[18]
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.
LibreCat | DOI
 
[17]
2023 | Conference Paper | LibreCat-ID: 53355
P. C. Neto, A. F. Sequeira, J. S. Cardoso, and P. Terhörst, “PIC-Score: Probabilistic Interpretable Comparison Score for Optimal Matching Confidence in Single- and Multi-Biometric Face Recognition,” 2023, doi: 10.1109/cvprw59228.2023.00109.
LibreCat | DOI
 
[16]
2023 | Conference Paper | LibreCat-ID: 53354
M. Huber, P. Terhörst, F. Kirchbuchner, A. Kuijper, and N. Damer, “Uncertainty-aware Comparison Scores for Face Recognition,” 2023, doi: 10.1109/iwbf57495.2023.10157282.
LibreCat | DOI
 
[15]
2023 | Conference Paper | LibreCat-ID: 38126
P. Terhörst et al., “QMagFace: Simple and Accurate Quality-Aware Face Recognition,” in Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023, pp. 3484–3494.
LibreCat
 
[14]
2023 | Conference Paper | LibreCat-ID: 53353
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.
LibreCat | DOI
 
[13]
2023 | Journal Article | LibreCat-ID: 64194
J. Khodadoust et al., “A novel indexing algorithm for latent palmprints leveraging minutiae and orientation field,” Intelligent Systems with Applications, vol. 21, Art. no. 200320, 2023, doi: 10.1016/j.iswa.2023.200320.
LibreCat | DOI
 
[12]
2022 | Journal Article | LibreCat-ID: 38128
P. Terhörst et al., “On the (Limited) Generalization of MasterFace Attacks and Its Relation to the Capacity of Face Representations,” International IEEE Joint Conference on Biometrics, IJCB 2022, Abu Dhabi, United Arab Emirates, October 10-13, 2022, pp. 1–8, 2022.
LibreCat
 
[11]
2022 | Conference Paper | LibreCat-ID: 38127
M. Huber, P. Terhörst, F. Kirchbuchner, N. Damer, and A. Kuijper, “On Evaluating Pixel-Level Face Image Quality Assessment,” in 2022 30th European Signal Processing Conference (EUSIPCO), 2022, pp. 1052–1056.
LibreCat
 
[10]
2022 | Journal Article | LibreCat-ID: 34716
P. Terhörst et al., “A Comprehensive Study on Face Recognition Biases Beyond Demographics,” IEEE Transactions on Technology and Society, vol. 3, no. 1, pp. 16–30, 2022, doi: 10.1109/TTS.2021.3111823.
LibreCat | DOI
 
[9]
2022 | Conference Paper | LibreCat-ID: 34710
M. Huber, P. Terhörst, A. T. Luu, F. Kirchbuchner, and N. Damer, “Verification of Sitter Identity Across Historical Portrait Paintings by Confidence-aware Face Recognition,” in 26th International Conference on Pattern Recognition, ICPR 2022, Montreal, QC, Canada, August 21-25, 2022, 2022, pp. 938–944, doi: 10.1109/ICPR56361.2022.9956452.
LibreCat | DOI
 
[8]
2022 | Journal Article | LibreCat-ID: 34709
D. O. Roig, C. Rathgeb, P. Drozdowski, P. Terhörst, V. Struc, and C. Busch, “An Attack on Facial Soft-Biometric Privacy Enhancement,” IEEE Trans. Biom. Behav. Identity Sci., vol. 4, no. 2, pp. 263–275, 2022, doi: 10.1109/TBIOM.2022.3172724.
LibreCat | DOI
 
[7]
2022 | Journal Article | LibreCat-ID: 34617
M. Huber, P. Terhörst, F. Kirchbuchner, N. Damer, and A. Kuijper, “Stating Comparison Score Uncertainty and Verification Decision Confidence Towards Transparent Face Recognition,” 33nd British Machine Vision Conference 2022, 2022, doi: 10.48550/ARXIV.2210.10354.
LibreCat | DOI
 
[6]
2022 | Journal Article | LibreCat-ID: 34570
P. Terhörst, “On the (Limited) Generalization of MasterFace Attacks and Its Relation to the Capacity of Face Representations,” IEEE IJCB, 2022, doi: 10.48550/ARXIV.2203.12387.
LibreCat | DOI
 
[5]
2021 | Conference Paper | LibreCat-ID: 34715
P. Terhörst, A. Boller, N. Damer, F. Kirchbuchner, and A. Kuijper, “MiDeCon: Unsupervised and Accurate Fingerprint and Minutia Quality Assessment based on Minutia Detection Confidence,” in International IEEE Joint Conference on Biometrics, IJCB 2021, Shenzhen, China, August 4-7, 2021, 2021, pp. 1–8, doi: 10.1109/IJCB52358.2021.9484404.
LibreCat | DOI
 
[4]
2021 | Journal Article | LibreCat-ID: 34714
B. Meden et al., “Privacy-Enhancing Face Biometrics: A Comprehensive Survey,” IEEE Trans. Inf. Forensics Secur., vol. 16, pp. 4147–4183, 2021, doi: 10.1109/TIFS.2021.3096024.
LibreCat | DOI
 
[3]
2021 | Journal Article | LibreCat-ID: 34713
P. Terhörst, D. Fährmann, J. N. Kolf, N. Damer, F. Kirchbuchner, and A. Kuijper, “MAAD-Face: A Massively Annotated Attribute Dataset for Face Images,” IEEE Trans. Inf. Forensics Secur., vol. 16, pp. 3942–3957, 2021, doi: 10.1109/TIFS.2021.3096120.
LibreCat | DOI
 
[2]
2021 | Dissertation | LibreCat-ID: 34711
P. Terhörst, Mitigating Soft-Biometric Driven Bias and Privacy Concerns in Face Recognition Systems. Technical University of Darmstadt, Germany, 2021.
LibreCat
 
[1]
2021 | Journal Article | LibreCat-ID: 34712
P. Terhörst, D. Fährmann, N. Damer, F. Kirchbuchner, and A. Kuijper, “On Soft-Biometric Information Stored in Biometric Face Embeddings,” IEEE Trans. Biom. Behav. Identity Sci., vol. 3, no. 4, pp. 519–534, 2021, doi: 10.1109/TBIOM.2021.3093920.
LibreCat | DOI
 
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37 Publications

Mark all

[37]
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.
LibreCat | DOI
 
[36]
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.
LibreCat | DOI
 
[35]
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.
LibreCat | DOI
 
[34]
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.
LibreCat | DOI
 
[33]
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.
LibreCat | DOI
 
[32]
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.
LibreCat
 
[31]
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.
LibreCat | DOI
 
[30]
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.
LibreCat | DOI
 
[29]
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.
LibreCat
 
[28]
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.
LibreCat | DOI
 
[27]
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.
LibreCat | DOI
 
[26]
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.
LibreCat | DOI
 
[25]
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.
LibreCat | DOI
 
[24]
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.
LibreCat | DOI
 
[23]
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.
LibreCat | DOI
 
[22]
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.
LibreCat | DOI
 
[21]
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.
LibreCat | DOI
 
[20]
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.
LibreCat | DOI
 
[19]
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.
LibreCat | DOI
 
[18]
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.
LibreCat | DOI
 
[17]
2023 | Conference Paper | LibreCat-ID: 53355
P. C. Neto, A. F. Sequeira, J. S. Cardoso, and P. Terhörst, “PIC-Score: Probabilistic Interpretable Comparison Score for Optimal Matching Confidence in Single- and Multi-Biometric Face Recognition,” 2023, doi: 10.1109/cvprw59228.2023.00109.
LibreCat | DOI
 
[16]
2023 | Conference Paper | LibreCat-ID: 53354
M. Huber, P. Terhörst, F. Kirchbuchner, A. Kuijper, and N. Damer, “Uncertainty-aware Comparison Scores for Face Recognition,” 2023, doi: 10.1109/iwbf57495.2023.10157282.
LibreCat | DOI
 
[15]
2023 | Conference Paper | LibreCat-ID: 38126
P. Terhörst et al., “QMagFace: Simple and Accurate Quality-Aware Face Recognition,” in Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023, pp. 3484–3494.
LibreCat
 
[14]
2023 | Conference Paper | LibreCat-ID: 53353
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.
LibreCat | DOI
 
[13]
2023 | Journal Article | LibreCat-ID: 64194
J. Khodadoust et al., “A novel indexing algorithm for latent palmprints leveraging minutiae and orientation field,” Intelligent Systems with Applications, vol. 21, Art. no. 200320, 2023, doi: 10.1016/j.iswa.2023.200320.
LibreCat | DOI
 
[12]
2022 | Journal Article | LibreCat-ID: 38128
P. Terhörst et al., “On the (Limited) Generalization of MasterFace Attacks and Its Relation to the Capacity of Face Representations,” International IEEE Joint Conference on Biometrics, IJCB 2022, Abu Dhabi, United Arab Emirates, October 10-13, 2022, pp. 1–8, 2022.
LibreCat
 
[11]
2022 | Conference Paper | LibreCat-ID: 38127
M. Huber, P. Terhörst, F. Kirchbuchner, N. Damer, and A. Kuijper, “On Evaluating Pixel-Level Face Image Quality Assessment,” in 2022 30th European Signal Processing Conference (EUSIPCO), 2022, pp. 1052–1056.
LibreCat
 
[10]
2022 | Journal Article | LibreCat-ID: 34716
P. Terhörst et al., “A Comprehensive Study on Face Recognition Biases Beyond Demographics,” IEEE Transactions on Technology and Society, vol. 3, no. 1, pp. 16–30, 2022, doi: 10.1109/TTS.2021.3111823.
LibreCat | DOI
 
[9]
2022 | Conference Paper | LibreCat-ID: 34710
M. Huber, P. Terhörst, A. T. Luu, F. Kirchbuchner, and N. Damer, “Verification of Sitter Identity Across Historical Portrait Paintings by Confidence-aware Face Recognition,” in 26th International Conference on Pattern Recognition, ICPR 2022, Montreal, QC, Canada, August 21-25, 2022, 2022, pp. 938–944, doi: 10.1109/ICPR56361.2022.9956452.
LibreCat | DOI
 
[8]
2022 | Journal Article | LibreCat-ID: 34709
D. O. Roig, C. Rathgeb, P. Drozdowski, P. Terhörst, V. Struc, and C. Busch, “An Attack on Facial Soft-Biometric Privacy Enhancement,” IEEE Trans. Biom. Behav. Identity Sci., vol. 4, no. 2, pp. 263–275, 2022, doi: 10.1109/TBIOM.2022.3172724.
LibreCat | DOI
 
[7]
2022 | Journal Article | LibreCat-ID: 34617
M. Huber, P. Terhörst, F. Kirchbuchner, N. Damer, and A. Kuijper, “Stating Comparison Score Uncertainty and Verification Decision Confidence Towards Transparent Face Recognition,” 33nd British Machine Vision Conference 2022, 2022, doi: 10.48550/ARXIV.2210.10354.
LibreCat | DOI
 
[6]
2022 | Journal Article | LibreCat-ID: 34570
P. Terhörst, “On the (Limited) Generalization of MasterFace Attacks and Its Relation to the Capacity of Face Representations,” IEEE IJCB, 2022, doi: 10.48550/ARXIV.2203.12387.
LibreCat | DOI
 
[5]
2021 | Conference Paper | LibreCat-ID: 34715
P. Terhörst, A. Boller, N. Damer, F. Kirchbuchner, and A. Kuijper, “MiDeCon: Unsupervised and Accurate Fingerprint and Minutia Quality Assessment based on Minutia Detection Confidence,” in International IEEE Joint Conference on Biometrics, IJCB 2021, Shenzhen, China, August 4-7, 2021, 2021, pp. 1–8, doi: 10.1109/IJCB52358.2021.9484404.
LibreCat | DOI
 
[4]
2021 | Journal Article | LibreCat-ID: 34714
B. Meden et al., “Privacy-Enhancing Face Biometrics: A Comprehensive Survey,” IEEE Trans. Inf. Forensics Secur., vol. 16, pp. 4147–4183, 2021, doi: 10.1109/TIFS.2021.3096024.
LibreCat | DOI
 
[3]
2021 | Journal Article | LibreCat-ID: 34713
P. Terhörst, D. Fährmann, J. N. Kolf, N. Damer, F. Kirchbuchner, and A. Kuijper, “MAAD-Face: A Massively Annotated Attribute Dataset for Face Images,” IEEE Trans. Inf. Forensics Secur., vol. 16, pp. 3942–3957, 2021, doi: 10.1109/TIFS.2021.3096120.
LibreCat | DOI
 
[2]
2021 | Dissertation | LibreCat-ID: 34711
P. Terhörst, Mitigating Soft-Biometric Driven Bias and Privacy Concerns in Face Recognition Systems. Technical University of Darmstadt, Germany, 2021.
LibreCat
 
[1]
2021 | Journal Article | LibreCat-ID: 34712
P. Terhörst, D. Fährmann, N. Damer, F. Kirchbuchner, and A. Kuijper, “On Soft-Biometric Information Stored in Biometric Face Embeddings,” IEEE Trans. Biom. Behav. Identity Sci., vol. 3, no. 4, pp. 519–534, 2021, doi: 10.1109/TBIOM.2021.3093920.
LibreCat | DOI
 
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