Robert Podschwadt

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 9

Top Topics

Homomorphic Encryption

Machine Learning

Top Venues

PrivateNLP@WSDM

Publications

Robert Podschwadt, Parsa Ghazvinian, Mohammad GhasemiGol, Daniel Takabi
Memory Efficient Privacy-Preserving Machine Learning Based on Homomorphic Encryption. ACNS (2) (2024)
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)
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)
Robert Podschwadt, Daniel Takabi
Classification of Encrypted Word Embeddings using Recurrent Neural Networks. PrivateNLP@WSDM (2020)
Daniel Takabi, Robert Podschwadt, Jeff Druce, Curt Wu, Kevin Procopio
Privacy preserving Neural Network Inference on Encrypted Data with GPUs. CoRR (2019)
Robert Podschwadt, Hassan Takabi
On Effectiveness of Adversarial Examples and Defenses for Malware Classification. SecureComm (2) (2019)
Robert Podschwadt, Hassan Takabi
Effectiveness of Adversarial Examples and Defenses for Malware Classification. CoRR (2019)