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Cyber-Physical Systems Virtual Organization

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

CPS-VO

Secure Deep Neural Networks

file

Visible to the public SaTC: Core: Medium: Protecting Confidentiality and Integrity of Deep Neural Networks against Side-channel and Fault Attacks

Submitted by Yunsi Fei on Thu, 10/17/2019 - 2:32pm. Contributors:
  • Yunsi Fei
  • Xue Lin
  • Thomas Wahl
  • Posters
  • Formal Methods and Language-based Security
  • Hardware Security Architecture
  • Hardware Security Design
  • Secure Deep Neural Networks
  • 1929300
  • SaTC PI Meeting 2019
  • 2019
  • NSF
  • U.S. Government
  • Poster

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