Jaskaran Singh Walia

Vellore Institute of Technology University

Papers

Total Citations

H-Index

About

Jaskaran Singh Walia is a rising researcher in cybersecurity and artificial intelligence, with a focused expertise in adversarial machine learning and web security. His most influential work, "Vulnerability Analysis for Captchas Using Deep Learning" (2023), has garnered 6 citations, marking a significant early-career contribution to the field. In this study, Walia systematically demonstrates how modern deep learning architectures can break text-based CAPTCHAs—the widely deployed "Completely Automated Public Turing test to tell Computers and Humans Apart"—exposing critical vulnerabilities in a cornerstone of web authentication. By showing that these visual puzzles, designed to distinguish humans from bots, are increasingly susceptible to neural network attacks, his research directly challenges the security assumptions of countless websites. This work not only highlights the arms race between CAPTCHA designers and AI-based attackers but also provides a roadmap for developing more robust verification systems. Walia’s findings are particularly timely as organizations seek to balance user experience with protection against automated threats. His contributions are essential reading for students and researchers exploring the intersection of deep learning and cybersecurity, offering both a cautionary tale and a foundation for future defenses.