Daniel Takabi

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 25

Top Topics

Privacy Preserving

Homomorphic Encryption

Top Venues

IEEE Internet Things J.

PrivateNLP@WSDM

Publications

Prajwal Panzade, Daniel Takabi, Zhipeng Cai
I can't see it but I can Fine-tune it: On Encrypted Fine-tuning of Transformers using Fully Homomorphic Encryption. CoRR (2024)
Prajwal Panzade, Daniel Takabi, Zhipeng Cai
Privacy-Preserving Machine Learning Using Functional Encryption: Opportunities and Challenges. IEEE Internet Things J. 11 (5) (2024)
Javad Rafiei Asl, Prajwal Panzade, Eduardo Blanco, Daniel Takabi, Zhipeng Cai
RobustSentEmbed: Robust Sentence Embeddings Using Adversarial Self-Supervised Contrastive Learning. CoRR (2024)
Javad Rafiei Asl, Mohammad H. Rafiei, Manar Alohaly, Daniel Takabi
SSCAE - Semantic, Syntactic, and Context-aware natural language Adversarial Examples generator. CoRR (2024)
Mohammad Hossein Rafiei, Lynne V. Gauthier, Hojjat Adeli, Daniel Takabi
Self-Supervised Learning for Electroencephalography. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Robert Podschwadt, Parsa Ghazvinian, Mohammad GhasemiGol, Daniel Takabi
Memory Efficient Privacy-Preserving Machine Learning Based on Homomorphic Encryption. ACNS (2) (2024)
Prajwal Panzade, Daniel Takabi, Zhipeng Cai
MedBlindTuner: Towards Privacy-preserving Fine-tuning on Biomedical Images with Transformers and Fully Homomorphic Encryption. CoRR (2024)
Adel Rezapour, Mohammad GhasemiGol, Daniel Takabi
A Systematic Mapping Study on Intrusion Response Systems. IEEE Access 12 (2024)
Olusesi Balogun, Daniel Takabi
An Insider Threat Mitigation Framework Using Attribute Based Access Control. CoRR (2023)
Prajwal Panzade, Daniel Takabi
FENet: Privacy-preserving Neural Network Training with Functional Encryption. IWSPA@CODASPY (2023)
Zuobin Xiong, Zhipeng Cai, Chunqiang Hu, Daniel Takabi, Wei Li
Towards Neural Network-Based Communication System: Attack and Defense. IEEE Trans. Dependable Secur. Comput. 20 (4) (2023)
Javad Asl, Eduardo Blanco, Daniel Takabi
RobustEmbed: Robust Sentence Embeddings Using Self-Supervised Contrastive Pre-Training. EMNLP (Findings) (2023)
Manar Alohaly, Olusesi Balogun, Daniel Takabi
Integrating Cyber Deception Into Attribute-Based Access Control (ABAC) for Insider Threat Detection. IEEE Access 10 (2022)
Zuobin Xiong, Zhipeng Cai, Daniel Takabi, Wei Li
Privacy Threat and Defense for Federated Learning With Non-i.i.d. Data in AIoT. IEEE Trans. Ind. Informatics 18 (2) (2022)
Prajwal Panzade, Daniel Takabi
SoK: Privacy Preserving Machine Learning using Functional Encryption: Opportunities and Challenges. CoRR (2022)
Robert Podschwadt, Daniel Takabi, Peizhao Hu, Mohammad H. Rafiei, Zhipeng Cai
A Survey of Deep Learning Architectures for Privacy-Preserving Machine Learning With Fully Homomorphic Encryption. IEEE Access 10 (2022)
Nipuna Senanayake, Robert Podschwadt, Daniel Takabi, Vince D. Calhoun, Sergey M. Plis
NeuroCrypt: Machine Learning Over Encrypted Distributed Neuroimaging Data. Neuroinformatics 20 (1) (2022)
Honghui Xu, Zhipeng Cai, Daniel Takabi, Wei Li
Audio-Visual Autoencoding for Privacy-Preserving Video Streaming. IEEE Internet Things J. 9 (3) (2022)
Robert Podschwadt, Daniel Takabi, Peizhao Hu
SoK: Privacy-preserving Deep Learning with Homomorphic Encryption. CoRR (2021)
Robert Podschwadt, Daniel Takabi
Non-interactive Privacy Preserving Recurrent Neural Network Prediction with Homomorphic Encryption. CLOUD (2021)
Prajwal Panzade, Daniel Takabi
Towards Faster Functional Encryption for Privacy-preserving Machine Learning. TPS-ISA (2021)
Robert Podschwadt, Daniel Takabi
Classification of Encrypted Word Embeddings using Recurrent Neural Networks. PrivateNLP@WSDM (2020)
Manar Alohaly, Daniel Takabi
A Hybrid Policy Engineering Approach for Attribute-Based Access Control (ABAC). SoCPaR (2020)
Srinath Obla, Xinghan Gong, Asma Aloufi, Peizhao Hu, Daniel Takabi
Effective Activation Functions for Homomorphic Evaluation of Deep Neural Networks. IEEE Access 8 (2020)
Daniel Takabi, Robert Podschwadt, Jeff Druce, Curt Wu, Kevin Procopio
Privacy preserving Neural Network Inference on Encrypted Data with GPUs. CoRR (2019)