I am a Computer Science Ph.D. student at University of California, Davis, where I am currently being advised by Professor Zubair Shafiq. My research interests revolve around making internet private and secure for all netizens through use of modern machine learning and data analytics techniques.
Updates
- October, 2023
- My work on PURL was featured in The Register.
- Gave a talk on measuring and detecting tracking through link decorations at Ad-Filtering Dev Summit.
- August, 2023
- Released arXiv preprint of my paper on tracking link decorations: PURL: Safe and Effective Sanitization of Link Decoration
- July, 2023
- Attended IEEE Security and Privacy (S&P) conference in San Francisco, CA
- May, 2023
- My paper on analysis and development of countermeasure against use of first-party tracking cookies got accepted at ACM CCS 2023.
- October, 2022
- Gave a talk at Ad-Filtering Dev Summit on use of First-Party cookies for tracking
- September, 2022:
- Appeared on DataSkeptic podcast to discuss first-party tracking cookies and counter measures discussed in COOKIEGRAPH paper
- August, 2022:
- Released arXiv preprint of my paper on first-party tracking cookies: COOKIEGRAPH: Measuring and Countering First-Party Tracking Cookies
- Attended USENIX Security 2022 Conference in Boston, MA
- July, 2022:
- Attended PETS 2022 Conference in Sydney, Australia
- June, 2022:
- Attended IAB Tech Lab Transcend Summit in New York City
- November, 2021:
- Attended ProperData Symposium in Irvine, CA
- September, 2021:
- Joined PhD Program at UC Davis
- Left TPI Lab
- April, 2021:
- My paper on Natural Language Models got accepted at EACL 2021: Through the Looking Glass: Learning to Attribute Synthetic Text Generated by Language Models
- November, 2020:
- Joined TPI Lab