Membership Inference Attacks for Machine Learning Models
Analyzed ML vulnerabilities with pipelines, metrics, and visualizations.
Research
Membership Inference Attacks for Large Language Models
Advanced the understanding of privacy risks in LLMs by extending prior work with new attacks and experiments.
Label Inference Attacks in Federated Learning
Optimized label attacks and assessed risks in federated learning.