Government
Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability
We focus on the blackbox transfer-based adversarial threat model for DNN image classifiers. In the standard case, blackbox means the attacker does not have access to the gradients of the target model and makes no assumptions about its architecture.
Online Matrix Completion with Side Information
We consider the problem of online binary matrix completion with side information .
Online Matrix Completion with Side Information
We consider the problem of online binary matrix completion with side information .
ConfLab: A Data Collection Concept, Dataset, and Benchmark for Machine Analysis of Free-Standing Social Interactions in the Wild Appendices
Q. Is there anything about the composition of the dataset or the way it was collected and
Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses
Advances in the development of adversarial attacks have been fundamental to the progress of adversarial defense research.
Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent
We study first-order optimization algorithms for computing the barycenter of Gaussian distributions with respect to the optimal transport metric.