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Robert Podschwadt
Robert Podschwadt
Geverifieerd e-mailadres voor student.gsu.edu
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On effectiveness of adversarial examples and defenses for malware classification
R Podschwadt, H Takabi
International Conference on Security and Privacy in Communication Systems …, 2019
12*2019
Classification of Encrypted Word Embeddings using Recurrent Neural Networks
R Podschwadt, D Takabi
PrivateNLP 2020: Workshop on Privacy in Natural Language Processing, 2020
112020
Privacy preserving neural network inference on encrypted data with GPUs
D Takabi, R Podschwadt, J Druce, C Wu, K Procopio
arXiv preprint arXiv:1911.11377, 2019
62019
Neurocrypt: Machine learning over encrypted distributed neuroimaging data
N Senanayake, R Podschwadt, D Takabi, VD Calhoun, SM Plis
Neuroinformatics, 1-18, 2021
32021
Non-interactive privacy preserving recurrent neural network prediction with homomorphic encryption
R Podschwadt, D Takabi
2021 IEEE 14th International Conference on Cloud Computing (CLOUD), 65-70, 2021
12021
SoK: Privacy-preserving Deep Learning with Homomorphic Encryption
R Podschwadt, D Takabi, P Hu
arXiv preprint arXiv:2112.12855, 2021
2021
Privacy Preserving Recurrent Neural Network (RNN) Prediction using Homomorphic Encryption
R Podschwadt, D Takabi
The 42nd IEEE Symposium on Security and Privacy, 2021
2021
Adversarial Machine Learning Training Workshop
R Podschwadt, H Takabi
Annual Computer Security Applications Conference (ACSAC) 2019, 2019
2019
Adversarial Machine Learning Tutorial
R Podschwadt, H Takabi
Annual Computer Security Applications Conference (ACSAC) 2018, 2018
2018
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Artikelen 1–9