Search Results for author: Robert Podschwadt

Found 3 papers, 0 papers with code

SoK: Privacy-preserving Deep Learning with Homomorphic Encryption

no code implementations23 Dec 2021 Robert Podschwadt, Daniel Takabi, Peizhao Hu

Outsourced computation for neural networks allows users access to state of the art models without needing to invest in specialized hardware and know-how.

Privacy Preserving Privacy Preserving Deep Learning

Privacy preserving Neural Network Inference on Encrypted Data with GPUs

no code implementations26 Nov 2019 Daniel Takabi, Robert Podschwadt, Jeff Druce, Curt Wu, Kevin Procopio

Machine Learning as a Service (MLaaS) has become a growing trend in recent years and several such services are currently offered.

BIG-bench Machine Learning Cloud Computing +1

Effectiveness of Adversarial Examples and Defenses for Malware Classification

no code implementations10 Sep 2019 Robert Podschwadt, Hassan Takabi

Artificial neural networks have been successfully used for many different classification tasks including malware detection and distinguishing between malicious and non-malicious programs.

Classification General Classification +1

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