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
46 2019 Offline reinforcement learning as anti-exploration S Rezaeifar, R Dadashi, N Vieillard, L Hussenot, O Bachem, O Pietquin, ...
Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 8106-8114, 2022
42 2022 Offline reinforcement learning with pseudometric learning R Dadashi, S Rezaeifar, N Vieillard, L Hussenot, O Pietquin, M Geist
International Conference on Machine Learning, 2307-2318, 2021
36 2021 Information bottleneck through variational glasses S Voloshynovskiy, M Kondah, S Rezaeifar, O Taran, T Holotyak, ...
arXiv preprint arXiv:1912.00830, 2019
36 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
33 2018 LFM signal detection and estimation based on sparse representation M Joneidi, A Zaeemzadeh, S Rezaeifar, M Abavisani, N Rahnavard
2015 49th Annual Conference on Information Sciences and Systems (CISS), 1-5, 2015
27 2015 Voltemorph: Realtime, controllable and generalisable animation of volumetric representations SJ Garbin, M Kowalski, V Estellers, S Szymanowicz, S Rezaeifar, J Shen, ...
arXiv preprint arXiv:2208.00949, 2022
26 2022 Partial mutual information based algorithm for input variable selection for time series forecasting A Darudi, S Rezaeifar, MHJD Bayaz
2013 13th international conference on environment and electrical engineering …, 2013
20 2013 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, 1-18, 2020
17 2020 A robust sparse representation based face recognition system for smartphones M Abavisani, M Joneidi, S Rezaeifar, SB Shokouhi
2015 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), 1-6, 2015
12 2015 PharmaPack: mobile fine-grained recognition of pharma packages SV O. Taran, S. Rezaeifar, O. Dabrowski, J. Schlechten, T. Holotyak
Proc. European Signal Processing Conference (EUSIPCO), 2017
11 2017 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
6 2019 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 -VAE: Autoregressive parametrization of the VAE encoderS Ferdowsi, M Diephuis, S Rezaeifar, S Voloshynovskiy
arXiv preprint arXiv:1909.06236, 2019
5 2019 Privacy-preserving image template sharing using contrastive learning S Rezaeifar, S Voloshynovskiy, M Asgari Jirhandeh, V Kinakh
Entropy 24 (5), 643, 2022
4 2022 Classification by Re-generation:Towards Classification Based on Variational Inference S Rezaeifar, O Taran, S Voloshynovskiy
Proc. European Signal Processing Conference, EUSIPCO 2018, 2018
4 2018 Compressed data sharing based on information bottleneck model B Razeghi, S Rezaeifar, S Ferdowsi, T Holotyak, S Voloshynovskiy
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
3 2022 Distributed semi-private image classification based on information-bottleneck principle S Rezaeifar, M Diephuis, B Razeghi, D Ullmann, O Taran, ...
2020 28th European Signal Processing Conference (EUSIPCO), 755-759, 2021
1 2021 Supervised Joint Nonlinear Transform Learning with Discriminative-Ambiguous Prior for Generic Privacy-Preserved Features D Kostadinov, B Razeghi, S Rezaeifar, S Voloshynovskiy
1 2019 Computing images of controllable dynamic scenes JPC Valentin, VE Casas, S Rezaeifar, J Shen, SK Szymanowicz, ...
US Patent App. 17/933,453, 2024
2024