Daniel Takabi

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Privacy-Preserving Machine Learning Using Functional Encryption: Opportunities and Challenges.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2024

SSCAE - Semantic, Syntactic, and Context-aware natural language Adversarial Examples generator.

[BibT_eX]

[DOI]

CoRR, 2024

RobustSentEmbed: Robust Sentence Embeddings Using Adversarial Self-Supervised Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2024

I can't see it but I can Fine-tune it: On Encrypted Fine-tuning of Transformers using Fully Homomorphic Encryption.

[BibT_eX]

[DOI]

CoRR, 2024

MedBlindTuner: Towards Privacy-preserving Fine-tuning on Biomedical Images with Transformers and Fully Homomorphic Encryption.

[BibT_eX]

[DOI]

CoRR, 2024

A Systematic Mapping Study on Intrusion Response Systems.

[BibT_eX]

[DOI]

Adel Rezapour

Mohammad GhasemiGol

IEEE Access, 2024

Memory Efficient Privacy-Preserving Machine Learning Based on Homomorphic Encryption.

[BibT_eX]

[DOI]

Proceedings of the Applied Cryptography and Network Security, 2024

2023

Towards Neural Network-Based Communication System: Attack and Defense.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2023

An Insider Threat Mitigation Framework Using Attribute Based Access Control.

[BibT_eX]

[DOI]

Olusesi Balogun

CoRR, 2023

RobustEmbed: Robust Sentence Embeddings Using Self-Supervised Contrastive Pre-Training.

[BibT_eX]

[DOI]

Javad Asl

Eduardo Blanco

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

FENet: Privacy-preserving Neural Network Training with Functional Encryption.

[BibT_eX]

[DOI]

Proceedings of the 9th ACM International Workshop on Security and Privacy Analytics, 2023

2022

Privacy Threat and Defense for Federated Learning With Non-i.i.d. Data in AIoT.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2022

NeuroCrypt: Machine Learning Over Encrypted Distributed Neuroimaging Data.

[BibT_eX]

[DOI]

Neuroinformatics, 2022

Audio-Visual Autoencoding for Privacy-Preserving Video Streaming.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2022

SoK: Privacy Preserving Machine Learning using Functional Encryption: Opportunities and Challenges.

[BibT_eX]

[DOI]

CoRR, 2022

A Survey of Deep Learning Architectures for Privacy-Preserving Machine Learning With Fully Homomorphic Encryption.

[BibT_eX]

[DOI]

Peizhao Hu

Mohammad Hossein Rafiei

IEEE Access, 2022

Integrating Cyber Deception Into Attribute-Based Access Control (ABAC) for Insider Threat Detection.

[BibT_eX]

[DOI]

Manar Alohaly

Olusesi Balogun

IEEE Access, 2022

2021

SoK: Privacy-preserving Deep Learning with Homomorphic Encryption.

[BibT_eX]

[DOI]

Peizhao Hu

CoRR, 2021

Towards Faster Functional Encryption for Privacy-preserving Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the 3rd IEEE International Conference on Trust, 2021

Non-interactive Privacy Preserving Recurrent Neural Network Prediction with Homomorphic Encryption.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE International Conference on Cloud Computing, 2021

2020

Effective Activation Functions for Homomorphic Evaluation of Deep Neural Networks.

[BibT_eX]

[DOI]

IEEE Access, 2020

Classification of Encrypted Word Embeddings using Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the PrivateNLP 2020: Workshop on Privacy in Natural Language Processing, 2020

A Hybrid Policy Engineering Approach for Attribute-Based Access Control (ABAC).

[BibT_eX]

[DOI]

Manar Alohaly