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VerHealth: Vetting Medical Voice Applications through Policy Enforcement

on YouTube 06m
Talkat UbiComp 2021 · 2021-09-21..09-26· [security, ai-assisted-development]

speakers

name:Faysal Hossain Shezan
x:faysalhossain07
name:Hang Hu
links:none on file
name:Gang Wang
links:none on file
name:Yuan Tian
links:none on file

resources

video:https://youtu.be/T049y0D3E9M
slides:none on file

summary

A tool called VerHealth builds a static analyzer plus a dynamic, ML-driven tester (rule-based checks and a CNN for disclaimers) that performs multiple-round dialogues and 855,000 probing questions to exercise voice health apps. It analyzes 813 health skills and finds concrete failures: 244 skills store physical or mental health data (30.23%) and 86.36% missing disclaimers; experts flag that over half of responses need more follow-up questioning and many suggestions lack relevance.

AI-written summary · about

chapters (8)

  1. 0:00Start
  2. 0:31Motivation
  3. 1:35Challenges
  4. 3:01System Overview
  5. 3:17Static Module
  6. 3:35Dynamic Module
  7. 3:52Key Insights
  8. 5:20Ensuring safety in future skills

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