542 citations · 1.6k across the 85 of their papers we have counts for
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Rényi Differential Privacy Mechanisms for Posterior Sampling
Joseph Geumlek, Shuang Song, Kamalika Chaudhuri
Using a recently proposed privacy definition of Rényi Differential Privacy (RDP), we re-examine the inherent privacy of releasing a single sample from a posterior distribution. We…
Learning to Blame: Localizing Novice Type Errors with Data-Driven Diagnosis
Eric L. Seidel, Huma Sibghat, Kamalika Chaudhuri +2
Localizing type errors is challenging in languages with global type inference, as the type checker must make assumptions about what the programmer intended to do. We introduce Nate…
Composition Properties of Inferential Privacy for Time-Series Data
Shuang Song, Kamalika Chaudhuri
With the proliferation of mobile devices and the internet of things, developing principled solutions for privacy in time series applications has become increasingly important. Whil…
Analyzing the Robustness of Nearest Neighbors to Adversarial Examples
Yizhen Wang, Somesh Jha, Kamalika Chaudhuri
Motivated by safety-critical applications, test-time attacks on classifiers via adversarial examples has recently received a great deal of attention. However, there is a general la…
Approximation and Convergence Properties of Generative Adversarial Learning
Shuang Liu, Olivier Bousquet, Kamalika Chaudhuri
Generative adversarial networks (GAN) approximate a target data distribution by jointly optimizing an objective function through a "two-player game" between a generator and a discr…