Visual CAPTCHA Resilience Evaluation

Authors

Presenter(s)

Rohan Ravindra Patil, Saumya Hiten Shah

Comments

Presentation: 11:40-12:00, LTC Studio

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