Raphael Antonius Frick

22 papers A* 2B 2Journal 3Unranked 15
YearRankTypeTitle / Venue / Authors
2025 A* conf
Team RoMa @ AADD-2025: On the Generation of Transferable and Visually Imperceptible Adversarial Attacks Against Deepfake Detectors.
ACM Multimedia
Nicolas Göller, Lukas Graner, Raphael Antonius Frick, Niklas Bunzel
2025 A* conf
Towards Explainable and Robust Deepfake Detection and Attribution: Enhancing Multimedia Forensics for the Next Generation of Synthetic Media.
CCS
Raphael Antonius Frick
2024 — conf
A Photo and a Few Spoken Words Is All It Needs?! On the Challenges of Targeted Deepfake Attacks and Their Detection.
WDC@AsiaCCS
Raphael Antonius Frick, Martin Steinebach
2024 B conf
Deepfakes: A New Kind of Adversarial Attacks Against Face Recognition Systems?
TrustCom
Raphael Antonius Frick, Lukas Graner
2024 — conf
DiffSeg: Towards Detecting Diffusion-Based Inpainting Attacks Using Multi-Feature Segmentation.
CVPR Workshops
Raphael Antonius Frick, Martin Steinebach
2024 — conf
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.
WASSA
Raphael Antonius Frick, Martin Steinebach
2024 — conf
FraunhoferSIT@EXIST2024: Leveraging Stacking Ensemble Learning for Sexism Detection.
CLEF (Working Notes)
Shiying Fan, Raphael Antonius Frick, Martin Steinebach
2024 — conf
Identifying and Generating Edge Cases.
SecTL@AsiaCCS
Niklas Bunzel, Nicolas Göller, Raphael Antonius Frick
2024 — conf
Improved identification of check-worthiness in social media data through multimodal analyses.
ROMCIR@ECIR
Raphael Antonius Frick, Martin Steinebach
2024 — conf
Signals Are All You Need: Detecting and Mitigating Digital and Real-World Adversarial Patches Using Signal-Based Features.
SecTL@AsiaCCS
Niklas Bunzel, Raphael Antonius Frick, Gerrit Klause, Aino Schwarte, Jonas Honermann
2023 J jnl
Deepfakes, Dall-E & Co.
Datenschutz und Datensicherheit (dud)
Raphael Antonius Frick, Martin Steinebach, Sascha Zmudzinski
2023 — conf
Detection of deepfakes using background-matching.
Media Watermarking, Security, and Forensics
Stephanie Blümer, Martin Steinebach, Raphael Antonius Frick, Niklas Bunzel
2023 J jnl
Fraunhofer SIT at CheckThat 2023: Mixing Single-Modal Classifiers to Estimate the Check-Worthiness of Multi-Modal Tweets.
CoRR
Raphael Antonius Frick, Inna Vogel
2023 J jnl
Fraunhofer SIT at CheckThat! 2023: Tackling Classification Uncertainty Using Model Souping on the Example of Check-Worthiness Classification.
CoRR
Raphael Antonius Frick, Inna Vogel, Jeong-Eun Choi
2023 — conf
Fraunhofer SIT at CheckThat!-2023: Can LLMs Be Used for Data Augmentation & Few-Shot Classification? Detecting Subjectivity in Text Using ChatGPT.
CLEF (Working Notes)
Raphael Antonius Frick
2023 — conf
Fraunhofer SIT at CheckThat!-2023: Enhancing the Detection of Multimodal and Multigenre Check-Worthiness Using Optical Character Recognition and Model Souping.
CLEF (Working Notes)
Raphael Antonius Frick, Inna Vogel, Jeong-Eun Choi
2022 — conf
Fraunhofer SIT at CheckThat!-2022: Ensemble Similarity Estimation for Finding Previously Fact-Checked Claims.
CLEF (Working Notes)
Raphael Antonius Frick, Inna Vogel
2022 — conf
Fraunhofer SIT at CheckThat!-2022: Semi-Supervised Ensemble Classification for Detecting Check-Worthy Tweets.
CLEF (Working Notes)
Raphael Antonius Frick, Inna Vogel, Isabella Nunes Grieser
2022 — conf
Fraunhofer SIT@SMM4H'22: Learning to Predict Stances and Premises in Tweets related to COVID-19 Health Orders Using Generative Models.
SMM4H@COLING
Raphael Antonius Frick, Martin Steinebach
2021 — conf
Detecting Deepfakes with Haralick's Texture Properties.
Media Watermarking, Security, and Forensics
Raphael Antonius Frick, Sascha Zmudzinski, Martin Steinebach
2020 — conf
Detecting "DeepFakes" in H.264 Video Data Using Compression Ghost Artifacts.
Media Watermarking, Security, and Forensics
Raphael Antonius Frick, Sascha Zmudzinski, Martin Steinebach
2020 B conf
Detecting double compression and splicing using benfords first digit law.
ARES
Raphael Antonius Frick, Huajian Liu, Martin Steinebach