Presentations
Conference presentations, invited talks, and podcast appearances.
Ad-Filtering Dev Summit 2024
Exploring how LLMs can be leveraged to detect and block tracking JavaScript at the function level granularity, enabling fine-grained privacy protection while preserving website functionality.
USENIX Security 2024
Presenting a machine-learning approach that uses cross-layer graph representation of webpage execution to safely and effectively sanitize tracking information in decorated links.
Ad-Filtering Dev Summit 2023
Discussing how link decorations are abused by advertisers and trackers to exfiltrate user information, and how PURL can detect and sanitize these tracking decorations.
EACL 2021
Presenting machine learning methods to attribute synthetic text to its source language model, achieving 91-98% accuracy in identifying the parent pre-trained LM behind generated text.