Robert Podschwadt

According to our database, Robert Podschwadt authored at least 8 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Robert Podschwadt, Parsa Ghazvinian, Mohammad GhasemiGol, Daniel Takabi

Proceedings of the Applied Cryptography and Network Security, 2024

2022

NeuroCrypt: Machine Learning Over Encrypted Distributed Neuroimaging Data.

Nipuna Senanayake, Robert Podschwadt, Daniel Takabi, Vince D. Calhoun, Sergey M. Plis

Neuroinformatics, 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

IEEE Access, 2022

2021

SoK: Privacy-preserving Deep Learning with Homomorphic Encryption.

Robert Podschwadt, Daniel Takabi, Peizhao Hu

CoRR, 2021

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

Robert Podschwadt, Daniel Takabi

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

2020

Classification of Encrypted Word Embeddings using Recurrent Neural Networks.

Robert Podschwadt, Daniel Takabi

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

2019

Privacy preserving Neural Network Inference on Encrypted Data with GPUs.

Daniel Takabi, Robert Podschwadt, Jeff Druce, Curt Wu, Kevin Procopio

CoRR, 2019

On Effectiveness of Adversarial Examples and Defenses for Malware Classification.

Robert Podschwadt, Hassan Takabi

Proceedings of the Security and Privacy in Communication Networks, 2019