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Cheriton School of Computer Science

PhD Seminar • Artificial Intelligence | Machine Learning • Learning to Understand and Generate Multimodal Contents Within a Unified Model | Cheriton School of Computer Science | University of Waterloo PhD Seminar • Artificial Intelligence | Machine Learning • Learning to Evaluate and Improve Visual Generation from Human Preferences | Cheriton School of Computer Science | University of Waterloo PhD Seminar • Artificial Intelligence | Machine Learning • Evolving the Knowledge Boundary in Agentic Visual Generation | Cheriton School of Computer Science | University of Waterloo Seminar • Algorithms & Complexity • Paintability of Bipartite Graphs | Cheriton School of Computer Science | University of Waterloo PhD Defence • Information Retrieval • Breaking Information Silos: Advancing Search Systems for Unified Information Seeking | Cheriton School of Computer Science | University of Waterloo PhD Seminar • Symbolic Computation • Sobolev Regularized Polynomial Features for Robust Handwritten Symbol Recognition | Cheriton School of Computer Science | University of Waterloo PhD Defence • Programming Languages • Implementation Techniques for Lexical Effect Handlers | Cheriton School of Computer Science | University of Waterloo Master’s Thesis Presentation • Computational Finance • Data Scarcity and the Decumulation Problem: Two Challenges in Finance PhD Seminar • Artificial Intelligence | Machine Learning • From Verifiable Rewards to Tool-Using Agents: VerlTool for Agentic Reinforcement Learning | Cheriton School of Computer Science | University of Waterloo PhD Seminar • Artificial Intelligence | Machine Learning • Understanding Hour-Long Videos with Hybrid Mamba-Transformers | Cheriton School of Computer Science | University of Waterloo Seminar • Human–Computer Interaction | Artificial Intelligence • Scaling Foundation Models & Agentic AI that Supports Healthy Living | Cheriton School of Computer Science | University of Waterloo PhD Seminar • Algorithms and Complexity • Container Lemmas and the Query Complexity of Graph Property Testing | Cheriton School of Computer Science | University of Waterloo Master’s Thesis Presentation • Human–Computer Interaction • Technology-mediated Group Idea Generation and Evaluation for Artistic Creations Across Disciplines | Cheriton School of Computer Science | University of Waterloo Master’s Thesis Presentation • Artificial Intelligence | Machine Learning • A Unified Perturbation Framework for Analyzing Leaderboard Stability and Manipulation | Cheriton School of Computer Science | University of Waterloo Master’s Thesis Presentation • Artificial Intelligence | Human–Computer Interaction • AI in Mental Health: Clinician Perceptions and the Need for AI Literacy in Participatory Research | Cheriton School of Computer Science | University of Waterloo PhD Defence • Artificial Intelligence | Machine Learning • Multilingual Embeddings: Data, Training, and Understanding | Cheriton School of Computer Science | University of Waterloo Master’s Thesis Presentation • Data Systems • Evaluating LLM Robustness Under Adversarial and Conflicting Evidence in Health Question Answering and Claim Verification | Cheriton School of Computer Science | University of Waterloo PhD Seminar • Symbolic Computation • Stability of Sobolev-Regularized Polynomial Differentiation Matrices | Cheriton School of Computer Science | University of Waterloo PhD Defence • Artificial Intelligence | Machine Learning • Gradient-based Methods for Multi-Objective Optimization with Applications in Machine Learning | Cheriton School of Computer Science | University of Waterloo PhD Defence • Artificial Intelligence | Machine Learning • Towards Foundation Models for Text-Rich Multimodal Tabular Data | Cheriton School of Computer Science | University of Waterloo Seminar • Algorithms and Complexity • A Strong Linear Programming Relaxation for Weighted Tree Augmentation | Cheriton School of Computer Science | University of Waterloo PhD Seminar • Data Systems • Query Expansion in the Era of Large Language Models | Cheriton School of Computer Science | University of Waterloo Master’s Thesis Presentation • Algorithms and Complexity • Multistroke Character Recognition Using Orthogonal Polynomial Representations | Cheriton School of Computer Science | University of Waterloo PhD Seminar • Artificial Intelligence | Machine Learning • Basis Transformer as a Foundation Model for Multimodal Tabular Representation Learning | Cheriton School of Computer Science | University of Waterloo PhD Seminar • Quantum Computing • Quantum Colorings of Spheres | Cheriton School of Computer Science | University of Waterloo PhD Seminar • Programming Languages • Tensor Probabilistic Model Checking of Finite-Horizon Markov Chains | Cheriton School of Computer Science | University of Waterloo Seminar • Algorithms and Complexity • Follow-the-Perturbed-Leader with Between-Action Dependence | Cheriton School of Computer Science | University of Waterloo Master’s Thesis Presentation • Artificial Intelligence | Machine Learning • UniMaia: Steering Chess Policies with Language for Human-like Play | Cheriton School of Computer Science | University of Waterloo PhD Seminar • Cryptography, Security, and Privacy (CrySP) • The Evolution of Differentially Private Clustering | Cheriton School of Computer Science | University of Waterloo Master’s Thesis Presentation • Software Engineering • Trade-offs in Generic Programming: A Cross-Language Performance Study | Cheriton School of Computer Science | University of Waterloo PhD Seminar • Artificial Intelligence | Explainable AI • Atomic Explanations for Retrieval-Augmented LLM Systems | Cheriton School of Computer Science | University of Waterloo Master’s Thesis Presentation • Cryptography, Security, and Privacy (CrySP) • Parallel Efficient Secure DBSCAN Approximation | Cheriton School of Computer Science | University of Waterloo PhD Seminar • Artificial Intelligence | Machine Learning • Talk, Judge, Cooperate: Gossip-Driven Indirect Reciprocity in Self-Interested LLM Agents | Cheriton School of Computer Science | University of Waterloo PhD Seminar • Data System • Diversed Model Discovery via Structured Table Discovery | Cheriton School of Computer Science | University of Waterloo PhD Defence • Programming Languages • Design and Implementation of Probabilistic Programming Languages for Sound and Scalable Inference | Cheriton School of Computer Science | University of Waterloo PhD Seminar • Artificial Intelligence | Machine Learning • Basis Transformers for Multi-Task Tabular Regression | Cheriton School of Computer Science | University of Waterloo Master’s Thesis Presentation • Data Systems • LLM-Based Frameworks for Information Retrieval Evaluation | Cheriton School of Computer Science | University of Waterloo Master’s Thesis Presentation • Programming Languages • C∀ Collection Library | Cheriton School of Computer Science | University of Waterloo PhD Seminar • Human–Computer Interaction • DuckDuckTalk: Conversational Agent Teams to Support Active Externalization during Collaborative Data Analysis | Cheriton School of Computer Science | University of Waterloo PhD Defence • Data Systems • Development and Evaluation of Assistive AI Systems for Assessing News Trustworthiness | Cheriton School of Computer Science | University of Waterloo PhD Seminar • Software Engineering • Does Impact Analysis Support the Review of Changes to Build Specifications? | Cheriton School of Computer Science | University of Waterloo PhD Defence • Bioinformatics • Deep Learning for Accurate and Reliable De Novo Peptide Sequencing: From Missing Fragmentation to Open Modification Discovery | Cheriton School of Computer Science | University of Waterloo PhD Seminar • Computer Algebra | Symbolic Computation • Signature-based Gröbner basis Algorithms for Determinantal Ideals | Cheriton School of Computer Science | University of Waterloo DLS: Gilles Brassard — Alan Turing and me | Cheriton School of Computer Science | University of Waterloo Rhetoricon Symposium: Figures & Constructions, Constructions & Figures | Cheriton School of Computer Science | University of Waterloo PhD Seminar • Systems and Networking • Attacks on Approximate Caches in Text-to-Image Diffusion Models | Cheriton School of Computer Science | University of Waterloo PhD Seminar • Data Systems • Differentially Oblivious Multi-way Join | Cheriton School of Computer Science | University of Waterloo PhD Defence • Cryptography, Security, and Privacy (CrySP) • Assumption Stress-Testing for Machine Learning Security | Cheriton School of Computer Science | University of Waterloo PhD Seminar • Artificial Intelligence | Machine Learning • Simulating the Lateral Reader with an Iterative Multi-Agent RAG System for News Trustworthiness Assessment | Cheriton School of Computer Science | University of Waterloo Master’s Thesis Presentation • Human–Computer Interaction • Investigating Osu!: Exploring a Community who Exhibit Extreme Input Performance | Cheriton School of Computer Science | University of Waterloo PhD Defence • Algorithms and Complexity • Towards Fast, Safe and Persistent Concurrent Data Structures for Non-experts | Cheriton School of Computer Science | University of Waterloo PhD Defence • Algorithms and Complexity • The Sample Complexity of Differentially Private Statistical Estimation | Cheriton School of Computer Science | University of Waterloo PhD Defence • Cryptography, Security, and Privacy (CrySP) • Evolving Trade-offs Towards Deployable Private Systems for Data Science | Cheriton School of Computer Science | University of Waterloo PhD Seminar • Cryptography, Security, and Privacy (CrySP) • Selective MPC: Distributed Computation of Differentially Private Key-Value Statistics | Cheriton School of Computer Science | University of Waterloo PhD Defence • Quantum Computing • Circuits, Codes and Capacity | Cheriton School of Computer Science | University of Waterloo PhD Defence • Cryptography, Security, and Privacy (CrySP) • Deployment Concerns in Machine Learning Systems: Unintended Interactions and Accountability | Cheriton School of Computer Science | University of Waterloo PhD Defence • Systems and Networking • Efficient High-precision Monitoring of Network Slices for 5G and Beyond Networks | Cheriton School of Computer Science | University of Waterloo
CrySP Speaker Series on Privacy • Breaking the Web is Good for Privacy | Cheriton School of Computer Science | University of Waterloo
Joe Petrik · 2026-07-13 · via Cheriton School of Computer Science

Please note: This talk will take place in DC 1304 and online.

Eric Jollès, Doctoral student
École Polytechnique Fédérale de Lausanne

Modern webpages are heavy, dynamic, and highly personalized bundles of JavaScript, stylesheets, HTML, media, trackers, and third-party resources. This complexity creates distinctive network fingerprints that can persist even through anonymous communication systems such as Tor and Nym. It also makes stronger website-fingerprinting defenses, such as Front and Tamaraw, costly to deploy and less successful because they require high overhead to hide these patterns. This leaves PETs facing two unsatisfying paths: impose coarse restrictions across the web, such as blocking all JavaScript, or retreat to simpler websites and leave the complexity of the modern web largely unaddressed.

This talk introduces a third road: when a PET knows the user’s purpose on a webpage, it can intentionally break the functionality that does not serve that purpose. We refer to this new paradigm as purpose-limited browsing. For example, a user who wants to read an article, check a price, or submit a form may not need autoplay media, recommendation widgets, comment sections, personalization scripts, analytics, or unrelated third-party resources. We present MinBro, a client-side-only prototype that uses LLMs to identify which page resources are likely necessary for a predefined user purpose. By narrowing the functionality of a webpage before applying traffic-analysis defenses, MinBro reduces the amount of data to be downloaded, making page fingerprints easier to hide. By reducing functionality, MinBro can push defenses beyond the limits of the anonymity trilemma: when combined with defenses that are otherwise costly in practice, it simultaneously reduces website-fingerprinting effectiveness, page-load latency, and bandwidth overhead. Moreover, limiting the number of resources to those necessary for a purpose also results in a dramatic reduction of tracker behavior without breaking the intended tasks.

Beyond the tested prototype, MinBro opens a broader discussion about controlled breakage as a PETs design strategy. How should users express their purpose? What level of purpose granularity is useful? How can purpose-specific decisions be cached? Should browsers or servers cooperate? And, most importantly, what kinds of reduced functionality are acceptable in exchange for stronger privacy? We use MinBro to argue that purpose-limited browsing is a promising new design space for making advanced PETs practical on today’s complex web.


Bio: Eric Jollès is a doctoral student at EPFL, working broadly on network security and privacy topics. He is advised by Carmela Troncoso in the SPRING lab, where he designs and attacks existing systems to create new solutions that make the Internet a more private place. He holds a joint Master’s in Cyber Security from EPFL and ETH Zurich.


To attend this talk in person, please go to DC 1304. You can also attend virtually on Zoom.