Niklas Bunzel

According to our database, Niklas Bunzel authored at least 13 papers between 2020 and 2024.

Collaborative distances:

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

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

2023

Multi-class Detection for Off The Shelf transfer-based Black Box Attacks.

Niklas Bunzel, Dominic Böringer

Proceedings of the 2023 Secure and Trustworthy Deep Learning Systems Workshop, 2023

Predicting positions of flipped bits in robust image hashes.

Marius Leon Hammann, Martin Steinebach, Huajian Liu, Niklas Bunzel

Proceedings of the Media Watermarking, 2023

Detection of deepfakes using background-matching.

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

Proceedings of the Media Watermarking, 2023

Adversarial Patch Detection and Mitigation by Detecting High Entropy Regions.

Niklas Bunzel, Ashim Siwakoti, Gerrit Klause

Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2023

A Concise Analysis of Pasting Attacks and their Impact on Image Classification.

Niklas Bunzel, Lukas Graner

Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2023

2022

Face Pasting Attack.

Niklas Bunzel, Lukas Graner

CoRR, 2022

Robust face recognition: How much face Is needed?

Niklas Bunzel

Proceedings of the Media Watermarking, 2022

Using Telegram as a carrier for image steganography: Analysing Telegrams API limits.

Niklas Bunzel, Tobias Chen, Martin Steinebach

Proceedings of the ARES 2022: The 17th International Conference on Availability, Reliability and Security, Vienna,Austria, August 23, 2022

2021

Cover-aware Steganalysis.

Niklas Bunzel, Martin Steinebach, Huajian Liu

J. Cyber Secur. Mobil., 2021

Adversarial Examples zum Selbstdatenschutz? Der Fall biometrischer Gesichtserkennung im öffentlichen Raum.

Niklas Bunzel, Neele Zander, Robert Landwirth, Ann-Katrin Riedel

Proceedings of the 51. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2021 - Computer Science & Sustainability, Berlin, Germany, 27. September, 2021

2020

Non-blind steganalysis.

Niklas Bunzel, Martin Steinebach, Huajian Liu

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