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Shideh Rezaeifar
Shideh Rezaeifar
PhD Student, Department of Computer Science, University of Geneva
Verified email at unige.ch - Homepage
Title
Cited by
Cited by
Year
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
462019
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
372022
Information bottleneck through variational glasses
S Voloshynovskiy, M Kondah, S Rezaeifar, O Taran, T Holotyak, ...
arXiv preprint arXiv:1912.00830, 2019
362019
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
342021
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
332018
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
272015
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
242022
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
202013
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
162020
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
122015
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
112017
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
62019
Information bottleneck classification in extremely distributed systems
D Ullmann, S Rezaeifar, O Taran, T Holotyak, B Panos, S Voloshynovskiy
Entropy 22 (11), 1237, 2020
52020
Privacy-preserving image template sharing using contrastive learning
S Rezaeifar, S Voloshynovskiy, M Asgari Jirhandeh, V Kinakh
Entropy 24 (5), 643, 2022
42022
-VAE: Autoregressive parametrization of the VAE encoder
S Ferdowsi, M Diephuis, S Rezaeifar, S Voloshynovskiy
arXiv preprint arXiv:1909.06236, 2019
42019
Classification by Re-generation:Towards Classification Based on Variational Inference
S Rezaeifar, O Taran, S Voloshynovskiy
Proc. European Signal Processing Conference, EUSIPCO 2018, 2018
42018
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
32022
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
12021
Supervised Joint Nonlinear Transform Learning with Discriminative-Ambiguous Prior for Generic Privacy-Preserved Features
D Kostadinov, B Razeghi, S Rezaeifar, S Voloshynovskiy
12019
Computing images of controllable dynamic scenes
JPC Valentin, VE Casas, S Rezaeifar, J Shen, SK Szymanowicz, ...
US Patent App. 17/933,453, 2024
2024
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