Raphael Antonius Frick

According to our database, Raphael Antonius Frick authored at least 19 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

A Photo and a Few Spoken Words Is All It Needs?! On the Challenges of Targeted Deepfake Attacks and Their Detection.

Raphael Antonius Frick, Martin Steinebach

Proceedings of the 3rd ACM Workshop on the Security Implications of Deepfakes and Cheapfakes, 2024

Fraunhofer SIT at WASSA 2024 Empathy and Personality Shared Task: Use of Sentiment Transformers and Data Augmentation With Fuzzy Labels to Predict Emotional Reactions in Conversations and Essays.

Raphael Antonius Frick, Martin Steinebach

Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, 2024

Identifying and Generating Edge Cases.

Niklas Bunzel, Nicolas Göller, Raphael Antonius Frick

Proceedings of the 2nd ACM Workshop on Secure and Trustworthy Deep Learning Systems, 2024

Signals Are All You Need: Detecting and Mitigating Digital and Real-World Adversarial Patches Using Signal-Based Features.

Niklas Bunzel, Raphael Antonius Frick, Gerrit Klause, Aino Schwarte, Jonas Honermann

Proceedings of the 2nd ACM Workshop on Secure and Trustworthy Deep Learning Systems, 2024

Improved identification of check-worthiness in social media data through multimodal analyses.

Raphael Antonius Frick, Martin Steinebach

Proceedings of the 4th Workshop on Reducing Online Misinformation through Credible Information Retrieval co-located with the 46th European Conference on Information Retrieval, 2024

DiffSeg: Towards Detecting Diffusion-Based Inpainting Attacks Using Multi-Feature Segmentation.

Raphael Antonius Frick, Martin Steinebach

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

FraunhoferSIT@EXIST2024: Leveraging Stacking Ensemble Learning for Sexism Detection.

Shiying Fan, Raphael Antonius Frick, Martin Steinebach

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

2023

Deepfakes, Dall-E & Co.

Raphael Antonius Frick, Martin Steinebach, Sascha Zmudzinski

Datenschutz und Datensicherheit (dud), April, 2023

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

Raphael Antonius Frick, Inna Vogel, Jeong-Eun Choi

CoRR, 2023

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

Raphael Antonius Frick, Inna Vogel

CoRR, 2023

Detection of deepfakes using background-matching.

Stephanie Blümer, Martin Steinebach, Raphael Antonius Frick, Niklas Bunzel

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.

Raphael Antonius Frick, Inna Vogel, Jeong-Eun Choi

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.

Raphael Antonius Frick

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.

Raphael Antonius Frick, Martin Steinebach

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.

Raphael Antonius Frick, Inna Vogel, Isabella Nunes Grieser

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.

Raphael Antonius Frick, Inna Vogel

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.

Raphael Antonius Frick, Sascha Zmudzinski, Martin Steinebach

Proceedings of the Media Watermarking, 2021

2020

Detecting "DeepFakes" in H.264 Video Data Using Compression Ghost Artifacts.

Raphael Antonius Frick, Sascha Zmudzinski, Martin Steinebach

Proceedings of the Media Watermarking, 2020

Detecting double compression and splicing using benfords first digit law.

Raphael Antonius Frick, Huajian Liu, Martin Steinebach

Proceedings of the ARES 2020: The 15th International Conference on Availability, 2020