Privacy preserving Neural Network Inference on Encrypted Data with GPUs. - Daniel Takabi; Robert Podschwadt; Jeff Druce; Curt Wu; Kevin Procopio (CoRR, 2019)

A Hybrid Policy Engineering Approach for Attribute-Based Access Control (ABAC). - Manar Alohaly; Daniel Takabi (SoCPaR, 2020)

Classification of Encrypted Word Embeddings using Recurrent Neural Networks. - Robert Podschwadt; Daniel Takabi (PrivateNLP@WSDM, 2020)

Effective Activation Functions for Homomorphic Evaluation of Deep Neural Networks. - Srinath Obla; Xinghan Gong; Asma Aloufi; Peizhao Hu; Daniel Takabi (IEEE Access, 2020)

Non-interactive Privacy Preserving Recurrent Neural Network Prediction with Homomorphic Encryption. - Robert Podschwadt; Daniel Takabi (CLOUD, 2021)

Towards Faster Functional Encryption for Privacy-preserving Machine Learning. - Prajwal Panzade; Daniel Takabi (TPS-ISA, 2021)

SoK: Privacy-preserving Deep Learning with Homomorphic Encryption. - Robert Podschwadt; Daniel Takabi; Peizhao Hu (CoRR, 2021)

Integrating Cyber Deception Into Attribute-Based Access Control (ABAC) for Insider Threat Detection. - Manar Alohaly; Olusesi Balogun; Daniel Takabi (IEEE Access, 2022)

A Survey of Deep Learning Architectures for Privacy-Preserving Machine Learning With Fully Homomorphic Encryption. - Robert Podschwadt; Daniel Takabi; Peizhao Hu; Mohammad Hossein Rafiei; Zhipeng Cai 001 (IEEE Access, 2022)

SoK: Privacy Preserving Machine Learning using Functional Encryption: Opportunities and Challenges. - Prajwal Panzade; Daniel Takabi (CoRR, 2022)

Audio-Visual Autoencoding for Privacy-Preserving Video Streaming. - Honghui Xu; Zhipeng Cai 001; Daniel Takabi; Wei Li 059 (IEEE Internet Things J., 2022)

NeuroCrypt: Machine Learning Over Encrypted Distributed Neuroimaging Data. - Nipuna Senanayake; Robert Podschwadt; Daniel Takabi; Vince D. Calhoun; Sergey M. Plis (Neuroinformatics, 2022)

Privacy Threat and Defense for Federated Learning With Non-i.i.d. Data in AIoT. - Zuobin Xiong; Zhipeng Cai 001; Daniel Takabi; Wei Li 059 (IEEE Trans. Ind. Informatics, 2022)

FENet: Privacy-preserving Neural Network Training with Functional Encryption. - Prajwal Panzade; Daniel Takabi (IWSPA@CODASPY, 2023)

RobustEmbed: Robust Sentence Embeddings Using Self-Supervised Contrastive Pre-Training. - Javad Rafiei Asl; Eduardo Blanco 002; Daniel Takabi (EMNLP (Findings), 2023)

An Insider Threat Mitigation Framework Using Attribute Based Access Control. - Olusesi Balogun; Daniel Takabi (CoRR, 2023)

Towards Neural Network-Based Communication System: Attack and Defense. - Zuobin Xiong; Zhipeng Cai 001; Chunqiang Hu; Daniel Takabi; Wei Li 059 (IEEE Trans. Dependable Secur. Comput., 2023)

Memory Efficient Privacy-Preserving Machine Learning Based on Homomorphic Encryption. - Robert Podschwadt; Parsa Ghazvinian; Mohammad GhasemiGol; Daniel Takabi (ACNS (2), 2024)

RobustSentEmbed: Robust Sentence Embeddings Using Adversarial Self-Supervised Contrastive Learning. - Javad Rafiei Asl; Prajwal Panzade; Eduardo Blanco 002; Daniel Takabi; Zhipeng Cai 001 (NAACL-HLT (Findings), 2024)

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference. - Parsa Ghazvinian; Robert Podschwadt; Prajwal Panzade; Mohammad Hossein Rafiei; Daniel Takabi (TPS-ISA, 2024)

A Systematic Mapping Study on Intrusion Response Systems. - Adel Rezapour; Mohammad GhasemiGol; Daniel Takabi (IEEE Access, 2024)

MedBlindTuner: Towards Privacy-preserving Fine-tuning on Biomedical Images with Transformers and Fully Homomorphic Encryption. - Prajwal Panzade; Daniel Takabi; Zhipeng Cai 001 (CoRR, 2024)

I can't see it but I can Fine-tune it: On Encrypted Fine-tuning of Transformers using Fully Homomorphic Encryption. - Prajwal Panzade; Daniel Takabi; Zhipeng Cai 001 (CoRR, 2024)

SSCAE - Semantic, Syntactic, and Context-aware natural language Adversarial Examples generator. - Javad Rafiei Asl; Mohammad Hossein Rafiei; Manar Alohaly; Daniel Takabi (CoRR, 2024)

Privacy-Preserving Machine Learning Using Functional Encryption: Opportunities and Challenges. - Prajwal Panzade; Daniel Takabi; Zhipeng Cai 001 (IEEE Internet Things J., 2024)

A Semantic, Syntactic, and Context-Aware Natural Language Adversarial Example Generator. - Javad Rafiei Asl; Mohammad Hossein Rafiei; Manar Alohaly; Daniel Takabi (IEEE Trans. Dependable Secur. Comput., 2024)

Self-Supervised Learning for Electroencephalography. - Mohammad Hossein Rafiei; Lynne V. Gauthier; Hojjat Adeli; Daniel Takabi (IEEE Trans. Neural Networks Learn. Syst., 2024)

Self-Supervised Learning for Near-Wild Cognitive Workload Estimation. - Mohammad Hossein Rafiei; Lynne V. Gauthier; Hojjat Adeli; Daniel Takabi (J. Medical Syst., 2024)

Exploring Research and Tools in AI Security: A Systematic Mapping Study. - Sidhant Narula; Mohammad GhasemiGol; Javier Carnerero-Cano; Amanda Minnich; Emil Lupu; Daniel Takabi (IEEE Access, 2025)

Heterogeneous Graph Backdoor Attack. - Jiawei Chen; Lusi Li; Daniel Takabi; Masha Sosonkina; Rui Ning (CoRR, 2025)

Privacy-Preserving Multimodal Sentiment Analysis. - Honghui Xu; Wei Li 059; Daniel Takabi; Daehee Seo; Zhipeng Cai 001 (IEEE Internet Things J., 2025)