Visual CAPTCHA Resilience Evaluation
Presenter(s)
Rohan Ravindra Patil, Saumya Hiten Shah
Files
Description
Visual CAPTCHAs are widely used to prevent automated bots from accessing online services. However, their effectiveness heavily relies on their resilience against automated attacks while maintaining user accessibility. The CAPTCHA resilience represents the ability of the trained models to detect the object during the adversarial attack. By evaluating the performance of the noise injected CAPTCHAs, our study aims to contribute to the ongoing efforts in developing more resilient and robust CAPTCHA systems.
Publication Date
4-17-2024
Project Designation
Course Project - CPS 596 P4
Primary Advisor
Van Tam Nguyen
Primary Advisor's Department
Computer Science
Keywords
Stander Symposium, College of Arts and Sciences
Recommended Citation
"Visual CAPTCHA Resilience Evaluation" (2024). Stander Symposium Projects. 3430.
https://ecommons.udayton.edu/stander_posters/3430
Comments
Presentation: 11:40-12:00, LTC Studio