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Cheriton School of Computer Science

Master's Thesis Presentation • Computer Graphics • VR GAViewer: Immersive Visualisation and Direct Manipulation of the Conformal Model in Virtual Reality | Cheriton School of Computer Science | University of Waterloo Seminar • Algorithms and Complexity • Lower Bounds for Private Optimization Via Reconstruction Attacks | Cheriton School of Computer Science | University of Waterloo Master’s Thesis Presentation • Data Systems • Efficient Oblivious Query Processing for Property Graph Databases | Cheriton School of Computer Science | University of Waterloo Master’s Thesis Presentation • Artificial Intelligence | Machine Learning • Inferred Author Gender as a Variable Affecting LLM Behaviour | Cheriton School of Computer Science | University of Waterloo Master’s Thesis Presentation • Bioinformatics • From Candidates to Evidence: Diagnostics for Trustworthy Biological Discovery | Cheriton School of Computer Science | University of Waterloo PhD Defence • Algorithms and Complexity • Graph 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Science | University of Waterloo PhD Defence • Computer Algebra | Symbolic Computation • On the Effective Algebraic Geometry of Determinantal Varieties | Cheriton School of Computer Science | University of Waterloo Seminar • Algorithms and Complexity • Computing with Full Memory in 2026 | Cheriton School of Computer Science | University of Waterloo Master’s Thesis Presentation • Algorithms and Complexity • Bipartite Density: From Mixing Time to Local Algorithms for Dense Subgraphs | Cheriton School of Computer Science | University of Waterloo PhD Seminar • Programming Languages • The Defensive Tax: Price of Defenses That Never Defend | Cheriton School of Computer Science | University of Waterloo Master’s Thesis Presentation • Algorithms and Complexity • Algorithms for Analytic Combinatorics: Positivity Bounds and D-finite Operators | Cheriton School of Computer Science | University of Waterloo PhD Seminar • Cryptography, Security, and Privacy (CrySP) • IPFSCover: Examining Website Fingerprinting Threats in the InterPlanetary File System | Cheriton School of Computer Science | University of Waterloo Master’s Thesis Presentation • Programming Languages • Reified Generic Types for Scala 3 on the JVM | Cheriton School of Computer Science | University of Waterloo Master’s Thesis Presentation • Artificial Intelligence | Machine Learning • Abstract Reasoning with Vector Symbolic Algebras | Cheriton School of Computer Science | University of Waterloo Master’s Thesis Presentation • Artificial Intelligence | Machine Learning • Learning at Test Time: Adapting Models with Synthetic Data and Environment Interaction | Cheriton School of Computer Science | University of Waterloo PhD Seminar • Formal Methods • Counterexample Guided Abstraction and Refinement in Dash Models | Cheriton School of Computer Science | University of Waterloo Master’s Thesis Presentation • Systems and Networking • Runtime Configuration of GPU Workloads for Energy-efficient Execution | Cheriton School of Computer Science | University of Waterloo PhD Seminar • Artificial Intelligence | Machine Learning • Beyond Semantic Similarity: Direct Corpus Interaction for Agentic Search | Cheriton School of Computer Science | University of Waterloo PhD Seminar • Artificial Intelligence | Machine Learning • OpenResearcher: Reproducible Training for Long-Horizon Deep Research Agents | Cheriton School of Computer Science | University of Waterloo PhD Seminar • Software Engineering • SLA-Awareness for AI-assisted coding | Cheriton School of Computer Science | University of Waterloo PhD Seminar • Software Engineering • Context-Aware CodeLLM Eviction for AI-assisted Coding | Cheriton School of Computer Science | University of Waterloo PhD Seminar • Bioinformatics • Recurrent Energy-Based Modeling of Side-Chain Allostery | Cheriton School of Computer Science | University of Waterloo Seminar • Bioinformatics | Artificial Intelligence • Advancing Drug Discovery with FAIR Data and Explainable AI in Biomedical Research | Cheriton School of Computer Science | University of Waterloo PhD Defence • Artificial Intelligence | Machine Learning | Bioinformatics • Generative Synthetic Data for Pre-Clinical Drug Discovery | Cheriton School of Computer Science | University of Waterloo PhD Defence • Human–Computer Interaction • Tangible World-in-Miniature Interaction in Virtual Reality | Cheriton School of Computer Science | University of Waterloo
Master’s Thesis Presentation • Cryptography, Security, an...
Joe Petrik · 2026-08-04 · via Cheriton School of Computer Science

Please note: This master’s thesis presentation will take place in DC 2314 and online.

Pranshu Kumar, Master’s candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Mohammad Hajiabadi, Douglas Stebila

Updatable public-key encryption (UPKE) serves as a key tool for ensuring compromise resilience in dynamic group messaging systems such as MLS and TreeKEM. Prior work has introduced a variety of security notions for UPKE, including chosen-randomness and chosen-update security, chosen ciphertext attack (CCA) security, adaptive corruption resilience, public verifiability, and adversarially generated forking update structures. However, these notions make the security definition complex, and there is very little work on instantiating schemes that satisfy it.

In this work, we develop generic transformations that enable a sequence of upgrades from weaker to stronger UPKE notions, each introducing additional security properties. These security properties include straightline and forking update structures, selective and adaptive corruptions, public verifiability, chosen randomness and chosen-update security, and CPA and CCA notions. We define intermediate security notions that serve as useful stepping stones while adding the aforementioned properties. Some transformations rely only on standard tools such as random oracles, while others additionally exploit natural structural properties of schemes such as update uniformity and ciphertext updatability, which we identify and formalize in this work. This modular structure allows one to isolate and focus on specific combinations of properties of interest, facilitating easier security analysis.


To attend this master’s thesis presentation in person, please go to DC 2314. You can also attend virtually on Zoom.