Evan Crothers

According to our database, Evan Crothers authored at least 9 papers between 2019 and 2024.

Collaborative distances:

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

2024

Robust Infidelity: When Faithfulness Measures on Masked Language Models Are Misleading.

Evan Crothers, Herna L. Viktor, Nathalie Japkowicz

Proceedings of the Machine Learning, Optimization, and Data Science, 2024

2023

Faithful to Whom? Questioning Interpretability Measures in NLP.

Evan Crothers, Herna L. Viktor, Nathalie Japkowicz

CoRR, 2023

In BLOOM: Creativity and Affinity in Artificial Lyrics and Art.

Evan Crothers, Herna L. Viktor, Nathalie Japkowicz

CoRR, 2023

Machine-Generated Text: A Comprehensive Survey of Threat Models and Detection Methods.

Evan Crothers, Nathalie Japkowicz, Herna L. Viktor

IEEE Access, 2023

2022

Adversarial Robustness of Neural-Statistical Features in Detection of Generative Transformers.

Evan Crothers, Nathalie Japkowicz, Herna L. Viktor, Paula Branco

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

The Case for Latent Variable Vs Deep Learning Methods in Misinformation Detection: An Application to COVID-19.

Caitlin Moroney, Evan Crothers, Sudip Mittal, Anupam Joshi, Tülay Adali, Christine Mallinson, Nathalie Japkowicz, Zois Boukouvalas

Proceedings of the Discovery Science - 24th International Conference, 2021

Mean User-Text Agglomeration (MUTA): Practical User Representation and Visualization for Detection of Online Influence Operations.

Evan Crothers, Herna L. Viktor, Nathalie Japkowicz

Proceedings of the Computational Data and Social Networks - 10th International Conference, 2021

2020

Independent Component Analysis for Trustworthy Cyberspace during High Impact Events: An Application to Covid-19.

Zois Boukouvalas, Christine Mallinson, Evan Crothers, Nathalie Japkowicz, Aritran Piplai, Sudip Mittal, Anupam Joshi, Tülay Adali

CoRR, 2020

2019

Towards Ethical Content-Based Detection Of Online Influence Campaigns.

Evan Crothers, Nathalie Japkowicz, Herna L. Viktor

Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019