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The Algorithmic Foundations of Differential Privacy (Foundations and Trends


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Table of contents Preface 1. The Promise of Differential Privacy 2. Basic Terms 3. Basic Techniques and Composition Theorems 4. Releasing Linear Queries with Correlated Error 5. Generalizations 6. Boosting for Queries 7. When Worst-Case Sensitivity is Atypical 8. Lower Bounds and Separation Results 9. Differential Privacy and Computational Complexity 10. Differential Privacy and Mechanism Design 11. Differential Privacy and Machine Learning 12. Additional Models 13. Reflections Appendices Acknowledgments References

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