ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2308.12918
  4. Cited By
Evaluating the Vulnerabilities in ML systems in terms of adversarial
  attacks

Evaluating the Vulnerabilities in ML systems in terms of adversarial attacks

24 August 2023
John Harshith
Mantej Singh Gill
Madhan Jothimani
    AAML
ArXivPDFHTML

Papers citing "Evaluating the Vulnerabilities in ML systems in terms of adversarial attacks"

1 / 1 papers shown
Title
Fair prediction with disparate impact: A study of bias in recidivism
  prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
207
2,092
0
24 Oct 2016
1