About Me

I am a PhD candidate at the Department of Computer Science, University of Warwick, supervised by Graham Cormode and Carsten Maple. I graduated from the Mathematics Institute, University of Warwick, in the summer of 2019 with a BSc in Mathematics. I am a member of the Division of Theory and FoundationsLink opens in a new window where research is concerned with the Design and Analysis of Algorithms, Complexity Theory, Logic, Automata and Formal Verification. In the 2022/23 academic year, I was the Chair of the PGR Student Staff Liaison Committee (SSLC)Link opens in a new window in the Department of Computer Science.

Please see my websiteLink opens in a new window for more details.

Research

My research area is privacy-enhancing technologies (PETs), specifically Differential PrivacyLink opens in a new window. In 2022, I published two papers on developing differentially private methods for releasing aggregated multi-dimensional messages. In 2024, I submitted two papers that develop differentially private methods in the framework of federated learning. One paper characterises data heterogeneity and the other estimates the distribution of populations.

Publications

• Scott, Mary, Cormode, Graham and Maple, Carsten (2022) Aggregation and transformation of vector-valued messages in the shuffle model of differential privacyLink opens in a new window. In: TIFS : IEEE Transactions on Information Forensics and Security pp. 612-627. ISSN 1556-6013. DOI: 10.1109/TIFS.2022.3147643.
• Scott, Mary, Cormode, Graham and Maple, Carsten (2022) Applying the shuffle model of differential privacy to vector aggregationLink opens in a new window. In: BICOD21 : British International Conference on Databases, London, UK, 28 Mar 2022. Published in: CEUR Workshop Proceedings pp. 50-59. ISSN 1613-0073.

Selected Conferences, Presentations and Prizes

• Warwick Postgraduate Colloquium in Computer Science 2023Link opens in a new windowLink opens in a new window: Presentation on 'Differentially Private Measures of Statistical Heterogeneity for Vectors' won the prize for Best Presentation in the 'Theory and Foundations' track [SlidesLink opens in a new windowLink opens in a new window]; was also a Session Chair for presentations in the 'Security' track
• Invited Poster Presenter at Applied Statistics and Risk Unit Partnership Day 2022Link opens in a new window: Poster session on 'Differentially Private Measures of Statistical Heterogeneity for Vectors'
• The Alan Turing Institute Centres for Doctoral Training ConferenceLink opens in a new window: Poster session on 'Differentially Private Measures of Statistical Heterogeneity for Vectors' [PosterLink opens in a new window]
• Invited Speaker at Surrey Centre for Cyber Security, University of SurreyLink opens in a new window: Presentation on 'Differentially Private Measures of Statistical Heterogeneity for Vectors' [SlidesLink opens in a new window]
• Academic Centres of Excellence in Cyber Security Research Conference 2022: Presentation on 'Differentially Private Measures of Statistical Heterogeneity for Vectors' [SlidesLink opens in a new window] and poster session on 'Aggregation and Transformation of Vector-Valued Messages in the Shuffle Model of Differential Privacy'
• The Alan Turing Institute Synthetic Data Workshop 2022: Presentation on 'Differentially Private Measures of Statistical Heterogeneity for Vectors' [SlidesLink opens in a new window]
• British International Conference on Databases 2022Link opens in a new window: Presentation on the accepted paper 'Applying the Shuffle Model of Differential Privacy to Vector Aggregation' [SlidesLink opens in a new window]
• Warwick Postgraduate Colloquium in Computer Science 2021Link opens in a new window: Presentation on 'Aggregation and Transformation of Vector-Valued Messages in the Shuffle Model of Differential Privacy' [SlidesLink opens in a new window]; was also a Session Chair for presentations in the 'Machine Learning and Artificial Intelligence' track
• Academic Centres of Excellence in Cyber Security Research Conference 2020: Presentation on 'Extending the Shuffle Model of Differential Privacy to Vectors'
• Warwick Postgraduate Colloquium in Computer Science 2020Link opens in a new window: Presentation on 'Extending the Shuffle Model of Differential Privacy to Vectors' won the prize for Best Long Presentation [SlidesLink opens in a new window]; was also a member of the Organising Committee and Session Chair for presentations in the 'Machine Learning and Artificial Intelligence' track
• The Alan Turing Institute 2019: Presentation on 'Scalable Assessment of Linkage Risks' [SlidesLink opens in a new window]

Teaching

2022/23 academic year:

• International Student Research Project Supervisor, World Congress on Undergraduate Research (WorldCUR)Link opens in a new window
• Senior Graduate Teaching Assistant for the undergraduate module Design of Information Structures (CS126)Link opens in a new window
• Senior Graduate Teaching Assistant for the postgraduate module Foundations of Data Analytics (CS910)Link opens in a new window

2020/21 academic year:

• Senior Graduate Teaching Assistant for the undergraduate module Design of Information Structures (CS126)
• Senior Graduate Teaching Assistant for the undergraduate module Programming for Computer Scientists (CS118)Link opens in a new window

2019/20 academic year:

• Workshop/Demonstration Leader for the undergraduate module Design of Information Structures (CS126)
• Online Tutor for the Warwick Online Learning Certificate (WOLC)Link opens in a new window

Office

My office is CS3.29Link opens in a new window, located on the 3^rd floor of the Department of Computer Science. To arrange a meeting, please email me at mary.p.scott (at) warwick.ac.uk.

Contact

mary.p.scott (at) warwick.ac.uk

Department of Computer Science, University of Warwick, CV4 7AL