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ORCIDUtku Ozbulak
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2020 – today
- 2024
[j4]Hyun Jung Lee, Utku Ozbulak
, Homin Park, Stephen Depuydt, Wesley De Neve, Joris Vankerschaver:
Assessing the reliability of point mutation as data augmentation for deep learning with genomic data. BMC Bioinform. 25(1): 170 (2024)- [c6]Utku Ozbulak, Esla Timothy Anzaku, Solha Kang, Wesley De Neve, Joris Vankerschaver:
Self-supervised Benchmark Lottery on ImageNet: Do Marginal Improvements Translate to Improvements on Similar Datasets? IJCNN 2024: 1-8 - [c5]Solha Kang, Joris Vankerschaver, Utku Ozbulak:
Identifying Critical Tokens for Accurate Predictions in Transformer-Based Medical Imaging Models. MLMI@MICCAI (2) 2024: 169-179 - 2023
- [j3]Utku Ozbulak, Hyun Jung Lee, Beril Boga, Esla Timothy Anzaku, Ho-min Park, Arnout Van Messem, Wesley De Neve, Joris Vankerschaver:
Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training. Trans. Mach. Learn. Res. 2023 (2023) - [i12]Utku Ozbulak, Hyun Jung Lee, Beril Boga, Esla Timothy Anzaku, Ho-min Park, Arnout Van Messem, Wesley De Neve, Joris Vankerschaver:
Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training. CoRR abs/2305.13689 (2023) - [i11]Woowon Jang, Shiwoo Koak, Jiwon Im, Utku Ozbulak, Joris Vankerschaver:
BRCA Gene Mutations in dbSNP: A Visual Exploration of Genetic Variants. CoRR abs/2309.00311 (2023) - 2022
- [i10]Utku Ozbulak, Manvel Gasparyan, Shodhan Rao, Wesley De Neve, Arnout Van Messem:
Exact Feature Collisions in Neural Networks. CoRR abs/2205.15763 (2022) - [i9]Utku Ozbulak, Solha Kang, Jasper Zuallaert, Stephen Depuydt, Joris Vankerschaver:
Utilizing Mutations to Evaluate Interpretability of Neural Networks on Genomic Data. CoRR abs/2212.06151 (2022) - 2021
- [j2]Utku Ozbulak, Baptist Vandersmissen, Azarakhsh Jalalvand, Ivo Couckuyt, Arnout Van Messem, Wesley De Neve:
Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems. Comput. Vis. Image Underst. 202: 103111 (2021) - [c4]Utku Ozbulak, Esla Timothy Anzaku, Wesley De Neve, Arnout Van Messem:
Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks. BMVC 2021: 331 - [i8]Utku Ozbulak, Baptist Vandersmissen, Azarakhsh Jalalvand, Ivo Couckuyt, Arnout Van Messem, Wesley De Neve:
Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems. CoRR abs/2101.10562 (2021) - [i7]Utku Ozbulak, Esla Timothy Anzaku, Wesley De Neve, Arnout Van Messem:
Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks. CoRR abs/2106.07141 (2021) - [i6]Utku Ozbulak, Maura Pintor, Arnout Van Messem, Wesley De Neve:
Evaluating Adversarial Attacks on ImageNet: A Reality Check on Misclassification Classes. CoRR abs/2111.11056 (2021) - 2020
- [j1]Utku Ozbulak, Manvel Gasparyan, Wesley De Neve, Arnout Van Messem:
Perturbation analysis of gradient-based adversarial attacks. Pattern Recognit. Lett. 135: 313-320 (2020) - [c3]Taewoo Jung, Esla Timothy Anzaku, Utku Özbulak, Stefan Magez, Arnout Van Messem, Wesley De Neve:
Automatic Detection of Trypanosomosis in Thick Blood Smears Using Image Pre-processing and Deep Learning. IHCI (2) 2020: 254-266 - [i5]Utku Ozbulak, Manvel Gasparyan, Wesley De Neve, Arnout Van Messem:
Perturbation Analysis of Gradient-based Adversarial Attacks. CoRR abs/2006.01456 (2020) - [i4]Utku Ozbulak, Jonathan Peck, Wesley De Neve, Bart Goossens, Yvan Saeys, Arnout Van Messem:
Regional Image Perturbation Reduces Lp Norms of Adversarial Examples While Maintaining Model-to-model Transferability. CoRR abs/2007.03198 (2020)
2010 – 2019
- 2019
- [c2]Utku Ozbulak, Arnout Van Messem, Wesley De Neve:
Not All Adversarial Examples Require a Complex Defense: Identifying Over-optimized Adversarial Examples with IQR-based Logit Thresholding. IJCNN 2019: 1-8 - [c1]Utku Ozbulak, Arnout Van Messem, Wesley De Neve:
Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation. MICCAI (2) 2019: 300-308 - [i3]Utku Ozbulak, Arnout Van Messem, Wesley De Neve:
Not All Adversarial Examples Require a Complex Defense: Identifying Over-optimized Adversarial Examples with IQR-based Logit Thresholding. CoRR abs/1907.12744 (2019) - [i2]Utku Ozbulak, Arnout Van Messem, Wesley De Neve:
Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation. CoRR abs/1907.13124 (2019) - 2018
- [i1]Utku Ozbulak, Wesley De Neve, Arnout Van Messem:
How the Softmax Output is Misleading for Evaluating the Strength of Adversarial Examples. CoRR abs/1811.08577 (2018)
Coauthor Index
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