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Intriguing Usage of Applicability Domain: Lessons from Cheminformatics Applied to Adversarial Learning.

, , , , , , and . CoRR, (2021)

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Evaluation of serial and parallel multibiometric systems under spoofing attacks., , , and . BTAS, page 283-288. IEEE, (2012)An Experimental Comparison of Fixed and Trained Fusion Rules for Crisp Classifier Outputs., , and . Multiple Classifier Systems, volume 2364 of Lecture Notes in Computer Science, page 232-241. Springer, (2002)Evaluation of multimodal biometric score fusion rules under spoof attacks., , , and . ICB, page 402-407. IEEE, (2012)Why template self-update should work in biometric authentication systems?, , , , and . ISSPA, page 1086-1091. IEEE, (2012)Super-sparse Learning in Similarity Spaces., , , , and . CoRR, (2017)Adversarial Feature Selection against Evasion Attacks., , , , and . CoRR, (2020)Can Domain Knowledge Alleviate Adversarial Attacks in Multi-Label Classifiers?, , , , , , and . CoRR, (2020)Adversarial EXEmples: A Survey and Experimental Evaluation of Practical Attacks on Machine Learning for Windows Malware Detection., , , , , and . CoRR, (2020)Analysis of unsupervised template update in biometric recognition systems., , and . Pattern Recognit. Lett., (2014)Neural shape codes for 3D model retrieval., , , and . Pattern Recognit. Lett., (2015)