Julia Stoyanovich

Venues

Frequent coauthors

Papers

1. Seasoning Data Modeling Education with GARLIC: A Participatory Co-Design Framework
   EDBT 2026 ·

   Viktoriia Makovska

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2. Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data
   NeurIPS 2025 ·

   Shlomi Hod

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3. From Benchmarking to Understanding FairML
   ECAI 2025 ·

   Mykola Pechenizkiy

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4. Making Transparency Advocates: An Educational Approach Towards Better Algorithmic Transparency in Practice
   AAAI 2025 ·

   Andrew Bell

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5. SAFENUDGE: Safeguarding Large Language Models in Real-time with Tunable Safety-Performance Trade-offs
   EMNLP 2025 ·

   João Fonseca

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6. ShaRP: Explaining Rankings and Preferences with Shapley Values
   VLDB 2025 ·

   Venetia Pliatsika

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7. Still More Shades of Null: An Evaluation Suite for Responsible Missing Value Imputation [Experiment, Analysis and Benchmark]
   VLDB 2025 ·

   Falaah Arif Khan

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8. Using Case Studies to Teach Responsible AI to Industry Practitioners
   AAAI 2025 · Julia Stoyanovich
9. We Are AI: Taking Control of Technology
   AAAI 2025 · Julia Stoyanovich
10. A New Paradigm for Counterfactual Reasoning in Fairness and Recourse
    IJCAI 2024 ·

    Lucius E. J. Bynum

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11. A Simple and Practical Method for Reducing the Disparate Impact of Differential Privacy
    AAAI 2024 ·

    Lucas Rosenblatt

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12. Making Transparency Influencers: A Case Study of an Educational Approach to Improve Responsible AI Practices in News and Media
    CHI 2024 ·

    Andrew Bell

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13. Query Refinement for Diverse Top-k Selection
    SIGMOD 2024 ·

    Felix S. Campbell

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14. Responsible Model Selection with Virny and VirnyView
    SIGMOD 2024 ·

    Denys Herasymuk

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15. Rodeo: Making Refinements for Diverse Top-k Queries
    VLDB 2024 ·

    Felix S. Campbell

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16. The Game Of Recourse: Simulating Algorithmic Recourse over Time to Improve Its Reliability and Fairness
    SIGMOD 2024 ·

    Andrew Bell

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