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ORCIDRaphael Antonius Frick
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2020 – today
- 2024
[c16]Shiying Fan, Raphael Antonius Frick, Martin Steinebach:
FraunhoferSIT@EXIST2024: Leveraging Stacking Ensemble Learning for Sexism Detection. CLEF (Working Notes) 2024: 993-1002- [c15]Raphael Antonius Frick, Martin Steinebach:
DiffSeg: Towards Detecting Diffusion-Based Inpainting Attacks Using Multi-Feature Segmentation. CVPR Workshops 2024: 3802-3808 - [c14]Raphael Antonius Frick, Martin Steinebach:
Improved identification of check-worthiness in social media data through multimodal analyses. ROMCIR@ECIR 2024: 31-40 - [c13]Niklas Bunzel
, Nicolas Göller, Raphael Antonius Frick:
Identifying and Generating Edge Cases. SecTL@AsiaCCS 2024: 16-23 - [c12]Niklas Bunzel, Raphael Antonius Frick, Gerrit Klause, Aino Schwarte, Jonas Honermann:
Signals Are All You Need: Detecting and Mitigating Digital and Real-World Adversarial Patches Using Signal-Based Features. SecTL@AsiaCCS 2024: 24-34 - [c11]Raphael Antonius Frick, Martin Steinebach:
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 2024: 435-440 - [c10]Raphael Antonius Frick, Martin Steinebach:
A Photo and a Few Spoken Words Is All It Needs?! On the Challenges of Targeted Deepfake Attacks and Their Detection. WDC@AsiaCCS 2024 - 2023
- [j1]Raphael Antonius Frick, Martin Steinebach, Sascha Zmudzinski:
Deepfakes, Dall-E & Co. Datenschutz und Datensicherheit (dud) 47(4): 203-208 (2023) - [c9]Raphael Antonius Frick:
Fraunhofer SIT at CheckThat!-2023: Can LLMs Be Used for Data Augmentation & Few-Shot Classification? Detecting Subjectivity in Text Using ChatGPT. CLEF (Working Notes) 2023: 329-336 - [c8]Raphael Antonius Frick, Inna Vogel, Jeong-Eun Choi:
Fraunhofer SIT at CheckThat!-2023: Enhancing the Detection of Multimodal and Multigenre Check-Worthiness Using Optical Character Recognition and Model Souping. CLEF (Working Notes) 2023: 337-350 - [c7]Stephanie Blümer, Martin Steinebach, Raphael Antonius Frick, Niklas Bunzel:
Detection of deepfakes using background-matching. Media Watermarking, Security, and Forensics 2023: 381-1 - [i2]Raphael Antonius Frick, Inna Vogel:
Fraunhofer SIT at CheckThat 2023: Mixing Single-Modal Classifiers to Estimate the Check-Worthiness of Multi-Modal Tweets. CoRR abs/2307.00610 (2023) - [i1]Raphael Antonius Frick, Inna Vogel, Jeong-Eun Choi:
Fraunhofer SIT at CheckThat! 2023: Tackling Classification Uncertainty Using Model Souping on the Example of Check-Worthiness Classification. CoRR abs/2307.02377 (2023) - 2022
- [c6]Raphael Antonius Frick, Inna Vogel:
Fraunhofer SIT at CheckThat!-2022: Ensemble Similarity Estimation for Finding Previously Fact-Checked Claims. CLEF (Working Notes) 2022: 492-499 - [c5]Raphael Antonius Frick, Inna Vogel, Isabella Nunes Grieser:
Fraunhofer SIT at CheckThat!-2022: Semi-Supervised Ensemble Classification for Detecting Check-Worthy Tweets. CLEF (Working Notes) 2022: 500-510 - [c4]Raphael Antonius Frick, Martin Steinebach:
Fraunhofer SIT@SMM4H'22: Learning to Predict Stances and Premises in Tweets related to COVID-19 Health Orders Using Generative Models. SMM4H@COLING 2022: 111-113 - 2021
- [c3]Raphael Antonius Frick, Sascha Zmudzinski, Martin Steinebach:
Detecting Deepfakes with Haralick's Texture Properties. Media Watermarking, Security, and Forensics 2021 - 2020
- [c2]Raphael Antonius Frick, Huajian Liu, Martin Steinebach:
Detecting double compression and splicing using benfords first digit law. ARES 2020: 47:1-47:9 - [c1]Raphael Antonius Frick, Sascha Zmudzinski, Martin Steinebach:
Detecting "DeepFakes" in H.264 Video Data Using Compression Ghost Artifacts. Media Watermarking, Security, and Forensics 2020
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last updated on 2024-10-11 18:24 CEST by the dblp team
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