Harrison Rosenberg — accepted AI-conference papers

2024

Limitations of Face Image Generation

Harrison Rosenberg, Shimaa Ahmed, Guruprasad Ramesh, Kassem Fawaz, Ramya Korlakai Vinayak

AAAI 2024technical

Text-to-image diffusion models have achieved widespread popularity due to their unprecedented image generation capability. In particular, their ability to synthesize and modify human faces has spurred research into using generated face images in both training data augmentation and model performance…

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2019

A Geometric Perspective on the Transferability of Adversarial Directions

Zachary Charles, Harrison Rosenberg, Dimitris Papailiopoulos

AISTATS 2019poster

State-of-the-art machine learning models frequently misclassify inputs that have been perturbed in an adversarial manner. Adversarial perturbations generated for a given input and a specific classifier often seem to be effective on other inputs and even different classifiers. In other words, adversa…

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