Detecting double compression and splicing using benfords first digit law. - Raphael Antonius Frick; Huajian Liu; Martin Steinebach (ARES, 2020)

Detecting "DeepFakes" in H.264 Video Data Using Compression Ghost Artifacts. - Raphael Antonius Frick; Sascha Zmudzinski; Martin Steinebach (Media Watermarking, Security, and Forensics, 2020)

Detecting Deepfakes with Haralick's Texture Properties. - Raphael Antonius Frick; Sascha Zmudzinski; Martin Steinebach (Media Watermarking, Security, and Forensics, 2021)

Fraunhofer SIT at CheckThat!-2022: Ensemble Similarity Estimation for Finding Previously Fact-Checked Claims. - Raphael Antonius Frick; Inna Vogel (CLEF (Working Notes), 2022)

Fraunhofer SIT at CheckThat!-2022: Semi-Supervised Ensemble Classification for Detecting Check-Worthy Tweets. - Raphael Antonius Frick; Inna Vogel; Isabella Nunes Grieser (CLEF (Working Notes), 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 (SMM4H@COLING, 2022)

Fraunhofer SIT at CheckThat!-2023: Can LLMs Be Used for Data Augmentation & Few-Shot Classification? Detecting Subjectivity in Text Using ChatGPT. - Raphael Antonius Frick (CLEF (Working Notes), 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 (CLEF (Working Notes), 2023)

Detection of deepfakes using background-matching. - Stephanie Blümer; Martin Steinebach; Raphael Antonius Frick; Niklas Bunzel (Media Watermarking, Security, and Forensics, 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)

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)

Deepfakes, Dall-E & Co. - Raphael Antonius Frick; Martin Steinebach; Sascha Zmudzinski (Datenschutz und Datensicherheit (dud), 2023)

FraunhoferSIT@EXIST2024: Leveraging Stacking Ensemble Learning for Sexism Detection. - Shiying Fan; Raphael Antonius Frick; Martin Steinebach (CLEF (Working Notes), 2024)

DiffSeg: Towards Detecting Diffusion-Based Inpainting Attacks Using Multi-Feature Segmentation. - Raphael Antonius Frick; Martin Steinebach (CVPR Workshops, 2024)

Improved identification of check-worthiness in social media data through multimodal analyses. - Raphael Antonius Frick; Martin Steinebach (ROMCIR@ECIR, 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 (SecTL@AsiaCCS, 2024)

Identifying and Generating Edge Cases. - Niklas Bunzel; Nicolas Göller; Raphael Antonius Frick (SecTL@AsiaCCS, 2024)

Deepfakes: A New Kind of Adversarial Attacks Against Face Recognition Systems? - Raphael Antonius Frick; Lukas Graner (TrustCom, 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 (WASSA, 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 (WDC@AsiaCCS, 2024)