activity
20192026
most citedAdversarial Model Extraction on Graph Neural Networks

9 citations · 18 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2026

From Woofs to Words: Towards Intelligent Robotic Guide Dogs with Verbal Communication

Yohei Hayamizu, David DeFazio, Hrudayangam Mehta +7

Assistive robotics is an important subarea of robotics that focuses on the well-being of people with disabilities. A robotic guide dog is an assistive quadruped robot that helps vi…

cs.RO2024★ 1 cited

Vision Language Models Can Parse Floor Plan Maps

David DeFazio, Hrudayangam Mehta, Meng Wang +3

Vision language models (VLMs) can simultaneously reason about images and texts to tackle many tasks, from visual question answering to image captioning. This paper focuses on map p…

cs.RO2023★ 1 cited

Seeing-Eye Quadruped Navigation with Force Responsive Locomotion Control

David DeFazio, Eisuke Hirota, Shiqi Zhang

Seeing-eye robots are very useful tools for guiding visually impaired people, potentially producing a huge societal impact given the low availability and high cost of real guide do…

cs.RO2021

Learning Quadruped Locomotion Policies using Logical Rules

David DeFazio, Yohei Hayamizu, Shiqi Zhang

Quadruped animals are capable of exhibiting a diverse range of locomotion gaits. While progress has been made in demonstrating such gaits on robots, current methods rely on motion…

cs.LG2020★ 7 cited

RelEx: A Model-Agnostic Relational Model Explainer

Yue Zhang, David Defazio, Arti Ramesh

In recent years, considerable progress has been made on improving the interpretability of machine learning models. This is essential, as complex deep learning models with millions…

cs.LG2019★ 9 cited

Adversarial Model Extraction on Graph Neural Networks

David DeFazio, Arti Ramesh

Along with the advent of deep neural networks came various methods of exploitation, such as fooling the classifier or contaminating its training data. Another such attack is known…