Matthew Groh

Orcid: 0000-0002-9029-0157

According to our database1, Matthew Groh authored at least 23 papers between 2018 and 2024.

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Bibliography

2024
Deepfake Detection in Super-Recognizers and Police Officers.
IEEE Secur. Priv., 2024

Deceptive AI systems that give explanations are more convincing than honest AI systems and can amplify belief in misinformation.
CoRR, 2024

How to Distinguish AI-Generated Images from Authentic Photographs.
CoRR, 2024

2023
Augmenting medical image classifiers with synthetic data from latent diffusion models.
CoRR, 2023

Art and the science of generative AI: A deeper dive.
CoRR, 2023

SelfClean: A Self-Supervised Data Cleaning Strategy.
CoRR, 2023

Towards Reliable Dermatology Evaluation Benchmarks.
Proceedings of the Machine Learning for Health, 2023

2022
Towards Transparency in Dermatology Image Datasets with Skin Tone Annotations by Experts, Crowds, and an Algorithm.
Proc. ACM Hum. Comput. Interact., 2022

Improving dermatology classifiers across populations using images generated by large diffusion models.
CoRR, 2022

Deceptive AI Systems That Give Explanations Are Just as Convincing as Honest AI Systems in Human-Machine Decision Making.
CoRR, 2022

Identifying the Context Shift between Test Benchmarks and Production Data.
CoRR, 2022

Human Detection of Political Deepfakes across Transcripts, Audio, and Video.
CoRR, 2022

Computational Empathy Counteracts the Negative Effects of Anger on Creative Problem Solving.
Proceedings of the 10th International Conference on Affective Computing and Intelligent Interaction, 2022

2021
Social Influence Leads to the Formation of Diverse Local Trends.
Proc. ACM Hum. Comput. Interact., 2021

Comparing Human and Machine Deepfake Detection with Affective and Holistic Processing.
CoRR, 2021

Human detection of machine-manipulated media.
Commun. ACM, 2021

Habit Formation Dynamics: Finding Factors Associated with Building Strong Mindfulness Habits.
Proceedings of the HCI International 2021 - Posters - 23rd HCI International Conference, 2021

Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology With the Fitzpatrick 17k Dataset.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Interpolating GANs to Scaffold Autotelic Creativity.
CoRR, 2020

2019
Towards a new social laboratory: An experimental study of search through community participation at Burning Man.
CoRR, 2019

2018
Evaluating Generative Adversarial Networks on Explicitly Parameterized Distributions.
CoRR, 2018

Closing the AI Knowledge Gap.
CoRR, 2018

TuringBox: An Experimental Platform for the Evaluation of AI Systems.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018


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