Operating at the Intersection of Adversarial Machine Learning and Out-of-distribution Detection

Abstract

The recipient will seek to evaluate and develop co-designed algorithms and models that provide robust classification and out-of-distribution detection against multiple forms of adversarial attacks.

Document Details

Document Type
DoD Grant Award
Publication Date
Sep 20, 2021
Source ID
FA87502111015

Entities

People

  • Yiran Chen

Organizations

  • Duke University
  • Rome Laboratory
  • United States Air Force

Tags

Fields of Study

  • Computer science

Readers

  • Neural Network Machine Learning.
  • Rehabilitation and Prosthetic Care for Military Service Members and Veterans with Limb Loss or Disability.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Neural Networks