default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDUtku Ozbulak
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Journal Articles
- 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)- 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) - 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) - 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)
Conference and Workshop Papers
- 2024
- [c5]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 - 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 - 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 - 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
Informal and Other Publications
- 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
- [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
- [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) - 2019
- [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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-21 01:42 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
