Dhruv Kuchhal

About

I’m a third year PhD student in Computer Science at Georgia Tech (GT), fortunate to be advised by Dr. Frank Li in the School of Cybersecurity and Privacy (SCP).

My research interests lie broadly in data-driven studies of real-world computer security problems, often involving large-scale data mining of network measurements. These days, I'm working on exploring passwordless authentication as an alternate to passwords online.

In the Summer of 2021, I interned with the Applied Research (Information Security) team at PayPal, supervised by Dr. Adam Oest and Dr. RC Johnson.

Previously, I have worked on:

Human Factors in Security with Prof. Elissa Redmiles and Prof. Michelle Mazurek @ UMD:
- Measuring and improving readability of security advice.
- Evaluating response biases in security user studies.
Security and Privacy in Social Computing with Prof. Ponnurangam Kumaraguru @ IIIT-D (moved to IIIT-H):
- Detecting cross-platform spam on online social networks.
- Detecting and mitigating misinformation on WhatsApp.

For the 2021-2022 AY, I'm serving on the board of Graduate Student Association for the School of Computer Science (SCS-GSA) as their Communications Chair, and as a board member on the GT Student Employee Advisory Board.

Reach me at dkuchhal@pm.me.

Publications

Conference:

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, 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.

Currently under review:

A View into YouTube View Fraud.
Dhruv Kuchhal and Frank Li.