T Anjali

About

T Anjali is a researcher in artificial intelligence and cybersecurity, with a particular focus on adversarial machine learning and CAPTCHA security. Her most-cited work, "CNN Combined with FC Classifier to Combat Artificial Penta-Digit Text-Based Captcha" (2023, 7 citations), demonstrates a novel approach to breaking text-based CAPTCHAs using a hybrid convolutional neural network and fully connected classifier. This contribution highlights her expertise in deep learning architectures and their application to real-world security challenges. By showing how modern AI can circumvent traditional text-based CAPTCHAs, Anjali’s research underscores critical vulnerabilities in widely used authentication systems, prompting the need for more robust, AI-resistant designs. Her work has practical implications for cybersecurity, influencing both the development of stronger CAPTCHAs and the design of more effective adversarial attacks. Though early in her career, Anjali’s focused contributions to the intersection of computer vision and security mark her as a promising voice in the ongoing battle between AI-driven attacks and defenses.

Research Focus

Key Achievements

Top Papers

1. 1
   CNN Combined with FC Classifier to Combat Artificial Penta-Digit Text-Based Captcha

   7 citations · 2023

Key Collaborators

Contact & Links