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Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems.

U. Ozbulak, B. Vandersmissen, A. Jalalvand, I. Couckuyt, A. Messem, and W. Neve. Comput. Vis. Image Underst., (2021)

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Utku Topal

Emine Utku

Fatma Özde Ütkür

Nalân Utku

Zahit Kasim Özbulak

Other publications of authors with the same name

BRCA Gene Mutations in dbSNP: A Visual Exploration of Genetic Variants.W. Jang, S. Koak, J. Im, U. Ozbulak, and J. Vankerschaver. CoRR, (2023)Not All Adversarial Examples Require a Complex Defense: Identifying Over-optimized Adversarial Examples with IQR-based Logit Thresholding.U. Ozbulak, A. Messem, and W. Neve. IJCNN, page 1-8. IEEE, (2019)Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems.U. Ozbulak, B. Vandersmissen, A. Jalalvand, I. Couckuyt, A. Messem, and W. Neve. CoRR, (2021)Utilizing Mutations to Evaluate Interpretability of Neural Networks on Genomic Data.U. Ozbulak, S. Kang, J. Zuallaert, S. Depuydt, and J. Vankerschaver. CoRR, (2022)How the Softmax Output is Misleading for Evaluating the Strength of Adversarial Examples.U. Ozbulak, W. Neve, and A. Messem. CoRR, (2018)Exact Feature Collisions in Neural Networks.U. Ozbulak, M. Gasparyan, S. Rao, W. Neve, and A. Messem. CoRR, (2022)Automatic Detection of Trypanosomosis in Thick Blood Smears Using Image Pre-processing and Deep Learning.T. Jung, E. Anzaku, U. Özbulak, S. Magez, A. Messem, and W. Neve. IHCI (2), volume 12616 of Lecture Notes in Computer Science, page 254-266. Springer, (2020)Regional Image Perturbation Reduces Lp Norms of Adversarial Examples While Maintaining Model-to-model Transferability.U. Ozbulak, J. Peck, W. Neve, B. Goossens, Y. Saeys, and A. Messem. CoRR, (2020)Evaluating Adversarial Attacks on ImageNet: A Reality Check on Misclassification Classes.U. Ozbulak, M. Pintor, A. Messem, and W. Neve. CoRR, (2021)Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training.U. Ozbulak, H. Lee, B. Boga, E. Anzaku, H. min Park, A. Messem, W. Neve, and J. Vankerschaver. CoRR, (2023)

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Disambiguation of "Ozbulak, Utku"

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Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems.

Please choose a person to relate this publication to

Utku Topal

Emine Utku

Fatma Özde Ütkür

Nalân Utku

Zahit Kasim Özbulak

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Ozbulak, Utku"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems.

Please choose a person to relate this publication to

Utku Topal

Emine Utku

Fatma Özde Ütkür

Nalân Utku

Zahit Kasim Özbulak

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems.