Raphael Antonius Frick

According to our database1, Raphael Antonius Frick authored at least 12 papers between 2020 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Deepfakes, Dall-E & Co.
Datenschutz und Datensicherheit (dud), April, 2023

Fraunhofer SIT at CheckThat! 2023: Tackling Classification Uncertainty Using Model Souping on the Example of Check-Worthiness Classification.
CoRR, 2023

Fraunhofer SIT at CheckThat 2023: Mixing Single-Modal Classifiers to Estimate the Check-Worthiness of Multi-Modal Tweets.
CoRR, 2023

Detection of deepfakes using background-matching.
Proceedings of the Media Watermarking, 2023

Fraunhofer SIT at CheckThat!-2023: Enhancing the Detection of Multimodal and Multigenre Check-Worthiness Using Optical Character Recognition and Model Souping.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

Fraunhofer SIT at CheckThat!-2023: Can LLMs Be Used for Data Augmentation & Few-Shot Classification? Detecting Subjectivity in Text Using ChatGPT.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

2022
Fraunhofer SIT@SMM4H'22: Learning to Predict Stances and Premises in Tweets related to COVID-19 Health Orders Using Generative Models.
Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, 2022

Fraunhofer SIT at CheckThat!-2022: Semi-Supervised Ensemble Classification for Detecting Check-Worthy Tweets.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

Fraunhofer SIT at CheckThat!-2022: Ensemble Similarity Estimation for Finding Previously Fact-Checked Claims.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

2021
Detecting Deepfakes with Haralick's Texture Properties.
Proceedings of the Media Watermarking, 2021

2020
Detecting "DeepFakes" in H.264 Video Data Using Compression Ghost Artifacts.
Proceedings of the Media Watermarking, 2020

Detecting double compression and splicing using benfords first digit law.
Proceedings of the ARES 2020: The 15th International Conference on Availability, 2020


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