91 citations · 145 across the 4 of their papers we have counts for
4 papers
An Investigation of Data Poisoning Defenses for Online Learning
Yizhen Wang, Somesh Jha, Kamalika Chaudhuri
Data poisoning attacks -- where an adversary can modify a small fraction of training data, with the goal of forcing the trained classifier to high loss -- are an important threat f…
Data Poisoning Attacks against Online Learning
Yizhen Wang, Kamalika Chaudhuri
We consider data poisoning attacks, a class of adversarial attacks on machine learning where an adversary has the power to alter a small fraction of the training data in order to m…
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…
Pufferfish Privacy Mechanisms for Correlated Data
Shuang Song, Yizhen Wang, Kamalika Chaudhuri
Many modern databases include personal and sensitive correlated data, such as private information on users connected together in a social network, and measurements of physical acti…