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National Science Foundation

Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

CPS-VO

machine learning as a service

biblio

Visible to the public Encrypted-Input Program Obfuscation: Simultaneous Security Against White-Box and Black-Box Attacks

Submitted by grigby1 on Thu, 03/04/2021 - 2:33pm
  • pubcrawl
  • Logic gates
  • machine learning
  • machine learning as a service
  • machine learning programs
  • Metrics
  • program confidentiality
  • program obfuscation
  • provable program obfuscation solution
  • learning (artificial intelligence)
  • range membership programs
  • resilience
  • security
  • traditional cryptographic program obfuscation model
  • white box
  • white box cryptography
  • White Box Security
  • white-box attacks
  • cloud services
  • Resiliency
  • Predictive Metrics
  • Compositionality
  • Black Box Attacks
  • black box encryption
  • black-box attacks
  • Cloud Computing
  • cloud programs
  • provable security
  • composability
  • Computational modeling
  • Cryptography
  • data privacy
  • Decision trees
  • encrypted-input program obfuscation
  • encryption
  • equivalent unobfuscated program
biblio

Visible to the public PlaidML-HE: Acceleration of Deep Learning Kernels to Compute on Encrypted Data

Submitted by grigby1 on Fri, 08/07/2020 - 3:48pm
  • machine learning as a service
  • Scalability
  • Resiliency
  • resilience
  • pubcrawl
  • privacy-preserving machine learning
  • privacy
  • PPML inference
  • PlaidML-HE
  • MLaaS
  • ML Service
  • ML kernels
  • ML front-end frameworks
  • AI
  • machine learning
  • learning (artificial intelligence)
  • inference mechanisms
  • Human Factors
  • Human behavior
  • Homomorphic encryption
  • encrypted data
  • deep learning kernels
  • data privacy
  • Cryptography
  • cryptographic primitives
  • compiler

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