Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
ML with HE: Privacy Preserving Machine Learning Inferences for Genome Studies
Published in ACM CCS 2021 PPML Workshop, 2021
A secure multi-label tumor classification method using homomorphic encryption, whereby two different machine learning algorithms, SVM and XGBoost, are used to classify the encrypted genome data of different tumor types.
Privacy Preserving Data Imputation via Multi-Party Computation for Medical Applications
Published in IEEE International Conference on E-health Networking, Application & Services (HealthCom), 2024
We propose a privacy-preserving data imputation framework using secure multi-party computation (MPC) to address missing values in medical datasets, ensuring regulatory compliance and maintaining model accuracy.
Privacy-Preserving Machine Learning (PPML) Inference for Clinically Actionable Models
Published in IEEE Access, 2025
This paper presents a privacy-preserving inference framework for clinically actionable machine learning models, using homomorphic encryption to enable secure and accurate predictions.
Secure and Efficient Logistic Regression With Secret-Sharing MPC and Differential Privacy
Published in IEEE Access, 2025
Privacy-preserving approach for logistic regression that integrates secret sharing-based multi-party computation (MPC) with differential privacy (DP).
Accelerating Privacy-Preserving Medical Record Linkage: A Three-Party MPC Approach
Published in Journal of Biomedical Informatics, 2025
A novel and efficient Privacy-Preserving Record Linkage method based on a secure 3-party (MPC)computaion framework
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Undergraduate TA – Electronic Circuits I
Semesters: Fall 2017–2018, Fall 2018–2019
TA in Fall 2017–2018 & Fall 2018–2019. Provided support for coursework and student projects.
Undergraduate TA – Electronic Circuits Implementations
Semesters: Spring 2017-2018
Assisted weekly labs in Spring 2017–2018 for a class of 30 students.
Undergraduate TA – Discrete Mathematics
Semesters: Spring 2018-2019
Held weekly recitations for a class of 30 students in Spring 2018–2019.
Teaching Assistant – Distributed Systems
Semesters: Spring 2019-2020, Spring 2021-2022
TA for Distributed Systems in Spring 2019–2020. Held weekly recitation sessions and office hours for ~35 students.
Teaching Assistant – Logic and Digital Systems Design
Semesters: Fall 2019-2020, Spring 2020-2021
TA in Fall 2019–2020 & Spring 2020–2021. Led labs and recitation sessions.
Teaching Assistant – Cryptography
Semesters: Fall 2020–2021, Fall 2021–2022
TA for Cryptography in Fall 2020–2021 & Fall 2021–2022. Supported coursework and guided students in problem-solving.
Tutor – Practical Course on Secure Multi-Party Computation
Semesters: Winter 2023-2024, Winter 2024-2025
Tutored in Practical Course on MPC at University of Tübingen. Conducted sessions twice, guiding students through protocol design and implementations.
Teaching Assistant – Introduction to Cryptography
Semesters: Summer 2023, Summer 2024, Summer 2025
Tutor for Intro to Cryptography at University of Tübingen. Led exercise sessions and supported students with problem sets.