Aryan Odugoudar

Papers

Total Citations

H-Index

About

Aryan Odugoudar is a researcher focused on the intersection of cybersecurity and artificial intelligence, with a particular emphasis on adversarial machine learning. His most cited work, "Vulnerability Analysis for Captchas Using Deep Learning" (2023, 6 citations), critically examines the robustness of text-based CAPTCHAs—the widely deployed security measure designed to distinguish humans from bots. By applying deep learning techniques, Odugoudar demonstrates how these verification systems can be systematically bypassed, revealing significant vulnerabilities in current web security protocols. This contribution not only highlights the fragility of traditional CAPTCHAs but also underscores the urgent need for more resilient, AI-resistant authentication methods. His research serves as a cautionary tale for developers and security engineers, pushing the field toward next-generation defenses against automated attacks. Odugoudar’s work is essential reading for anyone interested in the arms race between AI-driven threats and cybersecurity safeguards, offering both a practical vulnerability assessment and a roadmap for future innovation.