## Shahab Asoodeh
## Recent Announcements**October 2022**: One paper accepted to NeurIPS 2022 (selected for**Oral Presentation**). In this work, we proposed an efficient algorithm for correcting bias in probabilistic classifiers and evaluate it at scale on a new open dataset with multiple classes, multiple intersectional protected groups, and over 1M samples. Check it out here.
**October 2022**: A new paper on local differential privacy posted to arXiv. (see here)
**October 2022**: Invited talk at Google on saddle-point accountant for differential privacy. See slides here
**September 2022**: Together with Lele Wang (UBC), I am organizing a virtual reading group on “Foundations of Differential Privacy” open to all graduate students. We meet every Wednesdays from 5.30 to 7pm ET. Join us if you're interested! You can find more details (such Zoom meeting ID and list of papers) here.
**July 2022**: My recent work on fairness in multi-class prediction is posted to arXiv. (see here)
**July 2022**: Talk in the Workshop on Differential Privacy and Statistical Data Analysis at The Fields Institute.
**June 2022**: Flavio Calmon, Mario Diaz, Haewon Jeong and I gave a tutorial at IEEE International Symposium on Information Theory in June 2022 (see here for more details). Our tutorial is on**Information-Theoretic Tools for Responsible Machine Learning**and its slides can be accessed here.
**June 2022**: Talk at the 17th Canadian Workshop on Information Theory (CWIT) about a recent work on “Distribution Simulation Under Local Differential Privacy”. (see here for the short version)
**April 2022**: I was awarded the Natural Sciences and Engineering Research Council of Canada (NSERC): Discovery Grant and Launch Supplement.
**August 2021**: I recently started working with Statistics & Privacy Team at Meta as an Academic Collaborator. The main focus is on the design and analysis of optimal differentially private machine learning algorithms.
I am looking for Ph.D. students on the topic of Interested candidates should contact me with a CV and all transcripts. Like many other faculty members, I receive large volume of emails, and as such, I cannot respond to all inquiries. ## ContactOffice: Information Technology Building, |