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1. Attacking Anonymization and Constructing Improved Differentially Private Classifiers

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2. SINGLING-OUT VS. BLENDING-IN: OUTLIER DETECTION AND DIFFERENTIAL PRIVACY IN DATA

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3. Automated Programming Frameworks for Analyzing Differential Privacy

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4. Problems of Discrete Inference with Noisy or Incomplete Data

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5. Violation Detection, Extra Information Release and Secure Implementation for Differentially Private Mechanisms

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Open Access