Utku Ozbulak

According to our database, Utku Ozbulak authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Assessing the reliability of point mutation as data augmentation for deep learning with genomic data.

Hyun Jung Lee, Utku Ozbulak, Homin Park, Stephen Depuydt, Wesley De Neve, Joris Vankerschaver

BMC Bioinform., December, 2024

Identifying Critical Tokens for Accurate Predictions in Transformer-Based Medical Imaging Models.

Solha Kang, Joris Vankerschaver, Utku Ozbulak

Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

Self-supervised Benchmark Lottery on ImageNet: Do Marginal Improvements Translate to Improvements on Similar Datasets?

Utku Ozbulak, Esla Timothy Anzaku, Solha Kang, Wesley De Neve, Joris Vankerschaver

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training.

Utku Ozbulak, Hyun Jung Lee, Beril Boga, Esla Timothy Anzaku, Ho-min Park, Arnout Van Messem, Wesley De Neve, Joris Vankerschaver

Trans. Mach. Learn. Res., 2023

BRCA Gene Mutations in dbSNP: A Visual Exploration of Genetic Variants.

Woowon Jang, Shiwoo Koak, Jiwon Im, Utku Ozbulak, Joris Vankerschaver

CoRR, 2023

2022

Utilizing Mutations to Evaluate Interpretability of Neural Networks on Genomic Data.

Utku Ozbulak, Solha Kang, Jasper Zuallaert, Stephen Depuydt, Joris Vankerschaver

CoRR, 2022

Exact Feature Collisions in Neural Networks.

Utku Ozbulak, Manvel Gasparyan, Shodhan Rao, Wesley De Neve, Arnout Van Messem

CoRR, 2022

2021

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

Utku Ozbulak, Baptist Vandersmissen, Azarakhsh Jalalvand, Ivo Couckuyt, Arnout Van Messem, Wesley De Neve

Comput. Vis. Image Underst., 2021

Evaluating Adversarial Attacks on ImageNet: A Reality Check on Misclassification Classes.

Utku Ozbulak, Maura Pintor, Arnout Van Messem, Wesley De Neve

CoRR, 2021

Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks.

Utku Ozbulak, Esla Timothy Anzaku, Wesley De Neve, Arnout Van Messem

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Perturbation analysis of gradient-based adversarial attacks.

Utku Ozbulak, Manvel Gasparyan, Wesley De Neve, Arnout Van Messem

Pattern Recognit. Lett., 2020

Regional Image Perturbation Reduces L_p Norms of Adversarial Examples While Maintaining Model-to-model Transferability.

Utku Ozbulak, Jonathan Peck, Wesley De Neve, Bart Goossens, Yvan Saeys, Arnout Van Messem

CoRR, 2020

Automatic Detection of Trypanosomosis in Thick Blood Smears Using Image Pre-processing and Deep Learning.

Taewoo Jung, Esla Timothy Anzaku, Utku Özbulak, Stefan Magez, Arnout Van Messem, Wesley De Neve

Proceedings of the Intelligent Human Computer Interaction - 12th International Conference, 2020

2019

Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation.

Utku Ozbulak, Arnout Van Messem, Wesley De Neve

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Not All Adversarial Examples Require a Complex Defense: Identifying Over-optimized Adversarial Examples with IQR-based Logit Thresholding.

Utku Ozbulak, Arnout Van Messem, Wesley De Neve

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

How the Softmax Output is Misleading for Evaluating the Strength of Adversarial Examples.

Utku Ozbulak, Wesley De Neve, Arnout Van Messem

CoRR, 2018