Maximilian Mozes

According to our database1, Maximilian Mozes authored at least 21 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Here's a Free Lunch: Sanitizing Backdoored Models with Model Merge.
CoRR, 2024

2023
Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilities.
CoRR, 2023

Challenges and Applications of Large Language Models.
CoRR, 2023

Susceptibility to Influence of Large Language Models.
CoRR, 2023

Gradient-Based Automated Iterative Recovery for Parameter-Efficient Tuning.
CoRR, 2023

Towards Agile Text Classifiers for Everyone.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
Textwash - automated open-source text anonymisation.
CoRR, 2022

Identifying Human Strategies for Generating Word-Level Adversarial Examples.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
Correction to: Online influence, offline violence: language use on YouTube surrounding the 'Unite the Right' rally.
J. Comput. Soc. Sci., 2021

Online influence, offline violence: language use on YouTube surrounding the 'Unite the Right' rally.
J. Comput. Soc. Sci., 2021

Scene Graph Generation for Better Image Captioning?
CoRR, 2021

Worry, coping and resignation - A repeated-measures study on emotional responses after a year in the pandemic.
CoRR, 2021

No Intruder, no Validity: Evaluation Criteria for Privacy-Preserving Text Anonymization.
CoRR, 2021

Contrasting Human- and Machine-Generated Word-Level Adversarial Examples for Text Classification.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020
The Grievance Dictionary: Understanding Threatening Language Use.
CoRR, 2020

Measuring Emotions in the COVID-19 Real World Worry Dataset.
CoRR, 2020

2019
Online influence, offline violence: Linguistic responses to the 'Unite the Right' rally.
CoRR, 2019

2018
Identifying the sentiment styles of YouTube's vloggers.
CoRR, 2018

Identifying the narrative styles of YouTube's vloggers.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
Web-based text anonymization with Node.js: Introducing NETANOS (Named entity-based Text Anonymization for Open Science).
J. Open Source Softw., 2017


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