Matthew Groh

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Deepfake Detection in Super-Recognizers and Police Officers.

Meike Ramon, Matthew J. Vowels, Matthew Groh

IEEE Secur. Priv., 2024

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

Valdemar Danry, Pat Pataranutaporn, Matthew Groh, Ziv Epstein, Pattie Maes

CoRR, 2024

How to Distinguish AI-Generated Images from Authentic Photographs.

Negar Kamali, Karyn Nakamura, Angelos Chatzimparmpas, Jessica Hullman, Matthew Groh

CoRR, 2024

2023

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

Luke W. Sagers, James A. Diao, Luke Melas-Kyriazi, Matthew Groh, Pranav Rajpurkar, Adewole S. Adamson, Veronica Rotemberg, Roxana Daneshjou, Arjun K. Manrai

CoRR, 2023

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

Ziv Epstein, Aaron Hertzmann, Laura Mariah Herman, Robert Mahari, Morgan R. Frank, Matthew Groh, Hope Schroeder, Amy Smith, Memo Akten, Jessica Fjeld, Hany Farid, Neil Leach, Alex Pentland, Olga Russakovsky

CoRR, 2023

SelfClean: A Self-Supervised Data Cleaning Strategy.

Fabian Gröger, Simone Lionetti, Philippe Gottfrois, Álvaro González-Jiménez, Ludovic Amruthalingam, Labelling Consortium, Matthew Groh, Alexander A. Navarini, Marc Pouly

CoRR, 2023

Towards Reliable Dermatology Evaluation Benchmarks.

Fabian Gröger, Simone Lionetti, Philippe Gottfrois, Álvaro González-Jiménez, Matthew Groh, Roxana Daneshjou, Labelling Consortium, Alexander A. Navarini, Marc Pouly

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.

Matthew Groh, Caleb Harris, Roxana Daneshjou, Omar Badri, Arash Koochek

Proc. ACM Hum. Comput. Interact., 2022

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

Luke W. Sagers, James A. Diao, Matthew Groh, Pranav Rajpurkar, Adewole S. Adamson, Arjun K. Manrai

CoRR, 2022

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

Valdemar Danry, Pat Pataranutaporn, Ziv Epstein, Matthew Groh, Pattie Maes

CoRR, 2022

Identifying the Context Shift between Test Benchmarks and Production Data.

Matthew Groh

CoRR, 2022

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

Matthew Groh, Aruna Sankaranarayanan, Rosalind W. Picard

CoRR, 2022

Computational Empathy Counteracts the Negative Effects of Anger on Creative Problem Solving.

Matthew Groh, Craig Ferguson, Robert Lewis, Rosalind W. Picard

Proceedings of the 10th International Conference on Affective Computing and Intelligent Interaction, 2022

2021

Social Influence Leads to the Formation of Diverse Local Trends.

Ziv Epstein, Matthew Groh, Abhimanyu Dubey, Alex Pentland

Proc. ACM Hum. Comput. Interact., 2021

Comparing Human and Machine Deepfake Detection with Affective and Holistic Processing.

Matthew Groh, Ziv Epstein, Chaz Firestone, Rosalind W. Picard

CoRR, 2021

Human detection of machine-manipulated media.

Matthew Groh, Ziv Epstein, Nick Obradovich, Manuel Cebrián, Iyad Rahwan

Commun. ACM, 2021

Habit Formation Dynamics: Finding Factors Associated with Building Strong Mindfulness Habits.

Robert Lewis, Yuanbo Liu, Matthew Groh, Rosalind W. Picard

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.

Matthew Groh, Caleb Harris, Luis Soenksen, Felix Lau, Rachel Han, Aerin Kim, Arash Koochek, Omar Badri

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Interpolating GANs to Scaffold Autotelic Creativity.

Ziv Epstein, Océane Boulais, Skylar Gordon, Matthew Groh

CoRR, 2020

2019

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

Ziv Epstein, Micah Epstein, Christian Almenar, Matthew Groh, Niccolo Pescetelli, Esteban Moro, Nick Obradovich, Manuel Cebrián, Iyad Rahwan

CoRR, 2019

2018

Evaluating Generative Adversarial Networks on Explicitly Parameterized Distributions.

Shayne O'Brien, Matthew Groh, Abhimanyu Dubey

CoRR, 2018

Closing the AI Knowledge Gap.

Ziv Epstein, Blakeley H. Payne, Judy Hanwen Shen, Abhimanyu Dubey, Bjarke Felbo, Matthew Groh, Nick Obradovich, Manuel Cebrián, Iyad Rahwan

CoRR, 2018

TuringBox: An Experimental Platform for the Evaluation of AI Systems.

Ziv Epstein, Blakeley H. Payne, Judy Hanwen Shen, Casey Jisoo Hong, Bjarke Felbo, Abhimanyu Dubey, Matthew Groh, Nick Obradovich, Manuel Cebrián, Iyad Rahwan

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018