Shideh Rezaeifar

Orcid: 0000-0002-8103-3722

According to our database1, Shideh Rezaeifar authored at least 20 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
VolTeMorph: Real-time, Controllable and Generalizable Animation of Volumetric Representations.
Comput. Graph. Forum, September, 2024

2022
Variational methods in privacy protection and offline reinforcement learning.
PhD thesis, 2022

Privacy-Preserving Image Template Sharing Using Contrastive Learning.
Entropy, 2022

VolTeMorph: Realtime, Controllable and Generalisable Animation of Volumetric Representations.
CoRR, 2022

Compressed Data Sharing Based On Information Bottleneck Model.
Proceedings of the IEEE International Conference on Acoustics, 2022

Offline Reinforcement Learning as Anti-exploration.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Offline Reinforcement Learning with Pseudometric Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Information Bottleneck Classification in Extremely Distributed Systems.
Entropy, 2020

Machine learning through cryptographic glasses: combating adversarial attacks by key-based diversified aggregation.
EURASIP J. Inf. Secur., 2020

Distributed Semi-Private Image Classification Based on Information-Bottleneck Principle.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
Information bottleneck through variational glasses.
CoRR, 2019

ρ-VAE: Autoregressive parametrization of the VAE encoder.
CoRR, 2019

Robustification of Deep Net Classifiers by Key Based Diversified Aggregation with Pre-Filtering.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Reconstruction of Privacy-Sensitive Data from Protected Templates.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Defending Against Adversarial Attacks by Randomized Diversification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Supervised Joint Nonlinear Transform Learning with Discriminative-Ambiguous Prior for Generic Privacy-Preserved Features.
Proceedings of the 53rd Annual Conference on Information Sciences and Systems, 2019

2018
Classification by Re-generation: Towards Classification Based on Variational Inference.
Proceedings of the 26th European Signal Processing Conference, 2018

Bridging Machine Learning and Cryptography in Defence Against Adversarial Attacks.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017
PharmaPack: Mobile fine-grained recognition of pharma packages.
Proceedings of the 25th European Signal Processing Conference, 2017

2015
LFM signal detection and estimation based on sparse representation.
Proceedings of the 49th Annual Conference on Information Sciences and Systems, 2015


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