Robert Podschwadt

11 papers B 1Journal 6Unranked 4
YearRankTypeTitle / Venue / Authors
2024 — conf
MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference.
TPS-ISA
Parsa Ghazvinian, Robert Podschwadt, Prajwal Panzade, Mohammad Hossein Rafiei, Daniel Takabi
2024 J jnl
MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference.
CoRR
Parsa Ghazvinian, Robert Podschwadt, Prajwal Panzade, Mohammad Hossein Rafiei, Daniel Takabi
2024 — conf
Memory Efficient Privacy-Preserving Machine Learning Based on Homomorphic Encryption.
ACNS (2)
Robert Podschwadt, Parsa Ghazvinian, Mohammad GhasemiGol, Daniel Takabi
2022 J jnl
A Survey of Deep Learning Architectures for Privacy-Preserving Machine Learning With Fully Homomorphic Encryption.
IEEE Access
Robert Podschwadt, Daniel Takabi, Peizhao Hu, Mohammad Hossein Rafiei, Zhipeng Cai
2022 J jnl
NeuroCrypt: Machine Learning Over Encrypted Distributed Neuroimaging Data.
Neuroinformatics
Nipuna Senanayake, Robert Podschwadt, Daniel Takabi, Vince D. Calhoun, Sergey M. Plis
2021 B conf
Non-interactive Privacy Preserving Recurrent Neural Network Prediction with Homomorphic Encryption.
CLOUD
Robert Podschwadt, Daniel Takabi
2021 J jnl
SoK: Privacy-preserving Deep Learning with Homomorphic Encryption.
CoRR
Robert Podschwadt, Daniel Takabi, Peizhao Hu
2020 — conf
Classification of Encrypted Word Embeddings using Recurrent Neural Networks.
PrivateNLP@WSDM
Robert Podschwadt, Daniel Takabi
2019 J jnl
Effectiveness of Adversarial Examples and Defenses for Malware Classification.
CoRR
Robert Podschwadt, Hassan Takabi
2019 — conf
On Effectiveness of Adversarial Examples and Defenses for Malware Classification.
SecureComm (2)
Robert Podschwadt, Hassan Takabi
2019 J jnl
Privacy preserving Neural Network Inference on Encrypted Data with GPUs.
CoRR
Daniel Takabi, Robert Podschwadt, Jeff Druce, Curt Wu, Kevin Procopio