Dhruv Kuchhal

About

I recently joined Lacework Labs as a Cloud Security Researcher (Security Engineer), where we use data-driven signals to surface potential attacks before the damage occurs. Before Lacework, I was a Senior Research Scientist at PayPal in the Anti-Fraud team (part of Advanced Threats Group), where I worked on developing proactive fraud and abuse defense for PayPal products.

My research interests lie broadly in data-driven studies of real-world computer security and privacy problems, often involving large-scale measurements.

I completed my PhD in Computer Science from Georgia Tech advised by Frank Li in August 2023. At GT, my research work (thesis) centered around empirically measuring web security and privacy.

I currently serve on the Program Committees (PC) of:

Please consider submitting your work!

Reach me at dkuchhal@{pm.me, gatech.edu}.

Publications

Conference:

Illuminating Behind the Login Gates: A Large-Scale Comparison of Website Landing and Logged-in Pages.
Suood Alroomi, Dhruv Kuchhal, and Frank Li.
Currently under review.
Whatcha Lookin' At: Investigating Third-Party Web Content in Popular Android Apps.
Dhruv Kuchhal, Karthik Ramakrishnan, and Frank Li.
Currently under review.
Evaluating the Security of Real-World FIDO2 Deployments.
Dhruv Kuchhal, Muhammad Saad, Adam Oest, and Frank Li.
ACM Conference on Computer and Communications Security (CCS), 2023.
A View into YouTube View Fraud.
Dhruv Kuchhal and Frank Li.
ACM Web Conference (WWW), 2022.
Knock and Talk: Investigating Local Network Communications on Websites.
Dhruv Kuchhal and Frank Li.
ACM Internet Measurement Conference (IMC), 2021.
Comparing and Developing Tools to Measure the Readability of Domain-Specific Texts.
Elissa Redmiles, Lisa Maszkiewicz, Emily Hwang, Dhruv Kuchhal, Everest Liu, Miraida Morales, Denis Peskov, Sudha Rao, Rock Stevens, Kristina Gligorić, Sean Kross, Michelle Mazurek, and Hal Daumé III.
Empirical Methods in Natural Language Processing (EMNLP), 2019.
Asking for a Friend: Evaluating Response Biases in Security User Studies
Elissa Redmiles, Ziyun Zhu, Sean Kross, Dhruv Kuchhal, Tudor Dumitras, and Michelle Mazurek.
ACM Conference on Computer and Communications Security (CCS), 2018.
Under the Shadow of Sunshine: Characterizing Spam Campaigns Abusing Phone Numbers Across Online Social Networks.
Srishti Gupta, Dhruv Kuchhal, Payas Gupta, Mustaque Ahamad, Manish Gupta, and Ponnurangam Kumaraguru.
ACM Web Science Conference (WebSci), 2018.
Runner Up Best Student Paper Award

Journal:

Angel or Demon? Characterizing Variations Across Twitter Timeline of Technical Support Campaigners.
Srishti Gupta, Gurpreet Singh Bhatia, Saksham Suri, Dhruv Kuchhal, Payas Gupta, Mustaque Ahamad, Manish Gupta, and Ponnurangam Kumaraguru.
The Journal of Web Science, 2019.
Invited article from ACM WebScience, 2018

Workshop:

First Steps Toward Measuring the Readability of Security Advice.
Elissa Redmiles, Miraida Morales, Lisa Maszkiewicz, Rock Stevens, Everest Liu, Dhruv Kuchhal, and Michelle L. Mazurek.
IEEE Security & Privacy Workshop on Technology and Consumer Protection (ConPro), 2018.

Poster:

Measuring Security Advice Quality: First Steps.
Elissa Redmiles, Emily Hwang, Dhruv Kuchhal, Everest Liu, Lisa Maszkiewicz, Miraida Morales, Denis Peskov, Rock Stevens, and Michelle L. Mazurek.
USENIX Security Symposium, 2018.
Equitable Security: Optimizing Distribution of Nudges and Resources.
Elissa Redmiles, John P. Dickerson, Krishna Gummadi and Michelle L. Mazurek (presenter: Dhruv Kuchhal).
ACM Conference on Computer and Communications Security (CCS), 2018.