Bhavya Kailkhura

A Look at the Effect of Sample Design on Generalization through the Lens of Spectral Analysis

2019 · arXiv (Cornell University)

This paper provides a general framework to study the effect of sampling properties of training data on the generalization error of the learned machine learning (ML) models. Specifically, we propose a new spectral analysis of …

Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond

2020 · arXiv (Cornell University)

Linear relaxation based perturbation analysis (LiRPA) for neural networks, which computes provable linear bounds of output neurons given a certain amount of input perturbation, has become a core component in robustness verification and certified defense. …

Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning

2021 · arXiv (Cornell University)

Unsupervised domain adaptation (UDA) enables cross-domain learning without target domain labels by transferring knowledge from a labeled source domain whose distribution differs from that of the target. However, UDA is not always successful and several …