| Defending against adversarial attacks by randomized diversification O Taran, S Rezaeifar, T Holotyak, S Voloshynovskiy Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 34 | 2019 |
| Information bottleneck through variational glasses S Voloshynovskiy, M Kondah, S Rezaeifar, O Taran, T Holotyak, ... arXiv preprint arXiv:1912.00830, 2019 | 28 | 2019 |
| Bridging machine learning and cryptography in defence against adversarial attacks O Taran, S Rezaeifar, S Voloshynovskiy Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 26 | 2018 |
| Privacy preserving identification using sparse approximation with ambiguization B Razeghi, S Voloshynovskiy, D Kostadinov, O Taran 2017 IEEE Workshop on Information Forensics and Security (WIFS), 1-6, 2017 | 24 | 2017 |
| Clonability of anti-counterfeiting printable graphical codes: a machine learning approach O Taran, S Bonev, S Voloshynovskiy ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 18 | 2019 |
| Variational information bottleneck for semi-supervised classification S Voloshynovskiy, O Taran, M Kondah, T Holotyak, D Rezende Entropy 22 (9), 943, 2020 | 11 | 2020 |
| Machine learning through cryptographic glasses: combating adversarial attacks by key-based diversified aggregation O Taran, S Rezaeifar, T Holotyak, S Voloshynovskiy EURASIP journal on information security 2020 (1), 1-18, 2020 | 10 | 2020 |
| PharmaPack: mobile fine-grained recognition of pharma packages O Taran, S Rezaeifar, O Dabrowski, J Schlechten, T Holotyak, ... 2017 25th European Signal Processing Conference (EUSIPCO), 1917-1921, 2017 | 10 | 2017 |
| ScatSimCLR: self-supervised contrastive learning with pretext task regularization for small-scale datasets V Kinakh, S Voloshynovskiy, O Taran 2nd Visual Inductive Priors for Data-Efficient Deep Learning Workshop, 2021 | 9 | 2021 |
| Machine learning attack on copy detection patterns: are 1x1 patterns cloneable? R Chaban, O Taran, J Tutt, T Holotyak, S Bonev, S Voloshynovskiy EEE International Workshop on Information Forensics and Security (WIFS …, 2021 | 5 | 2021 |
| Information bottleneck classification in extremely distributed systems D Ullmann, S Rezaeifar, O Taran, T Holotyak, B Panos, S Voloshynovskiy Entropy 22 (11), 1237, 2020 | 5 | 2020 |
| Adversarial Detection of Counterfeited Printable Graphical Codes: Towards" Adversarial Games" In Physical World O Taran, S Bonev, T Holotyak, S Voloshynovskiy ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 4 | 2020 |
| Reconstruction of privacy-sensitive data from protected templates S Rezaeifar, B Razeghi, O Taran, T Holotyak, S Voloshynovskiy 2019 IEEE International Conference on Image Processing (ICIP), 1163-1167, 2019 | 4 | 2019 |
| Mobile authentication of copy detection patterns: how critical is to know fakes? O Taran, J Tutt, T Holotyak, R Chaban, S Bonev, S Voloshynovskiy IEEE International Workshop on Information Forensics and Security (WIFS …, 2021 | 3 | 2021 |
| Classification by re-generation: towards classification based on variational inference S Rezaeifar, O Taran, S Voloshynovskiy 2018 26th European Signal Processing Conference (EUSIPCO), 2005-2009, 2018 | 3 | 2018 |
| Printing variability of copy detection patterns R Chaban, O Taran, J Tutt, Y Belousov, B Pulfer, T Holotyak, ... 2022 IEEE International Workshop on Information Forensics and Security (WIFS …, 2022 | 1 | 2022 |
| Mathematical model of printing-imaging channel for blind detection of fake copy detection patterns J Tutt, O Taran, R Chaban, B Pulfer, Y Belousov, T Holotyak, ... 2022 IEEE International Workshop on Information Forensics and Security (WIFS …, 2022 | 1 | 2022 |
| Authentication of copy detection patterns under machine learning attacks: A supervised approach B Pulfer, R Chaban, Y Belousov, J Tutt, O Taran, T Holotyak, ... 2022 IEEE International Conference on Image Processing (ICIP), 1296-1300, 2022 | 1 | 2022 |
| Reliable classification in digital and physical worlds under active adversaries and prior ambiguity O Taran Department of Computer Science, Faculty of Sciences, University of Geneva, 2021 | 1 | 2021 |
| Injecting Image Priors into Learnable Compressive Subsampling M Ferrari, O Taran, T Holotyak, K Egiazarian, S Voloshynovskiy 26th European Signal Processing Conference (EUSIPCO), 2018 | 1 | 2018 |
Svyatoslav (Slava) VoloshynovskiyProfessor of Computer Science, University of Geneva, SwitzerlandBestätigte E-Mail-Adresse bei unige.ch
