Non-blind steganalysis. - Niklas Bunzel; Martin Steinebach; Huajian Liu (ARES, 2020)

Adversarial Examples zum Selbstdatenschutz? Der Fall biometrischer Gesichtserkennung im öffentlichen Raum. - Niklas Bunzel; Neele Zander; Robert Landwirth; Ann-Katrin Riedel (GI-Jahrestagung, 2021)

Cover-aware Steganalysis. - Niklas Bunzel; Martin Steinebach; Huajian Liu (J. Cyber Secur. Mobil., 2021)

Using Telegram as a carrier for image steganography: Analysing Telegrams API limits. - Niklas Bunzel; Tobias Chen; Martin Steinebach (ARES, 2022)

Robust face recognition: How much face Is needed? - Niklas Bunzel (Media Watermarking, Security, and Forensics, 2022)

Face Pasting Attack. - Niklas Bunzel; Lukas Graner (CoRR, 2022)

A Concise Analysis of Pasting Attacks and their Impact on Image Classification. - Niklas Bunzel; Lukas Graner (DSN-W, 2023)

Adversarial Patch Detection and Mitigation by Detecting High Entropy Regions. - Niklas Bunzel; Ashim Siwakoti; Gerrit Klause (DSN-W, 2023)

Detection of deepfakes using background-matching. - Stephanie Blümer; Martin Steinebach; Raphael Antonius Frick; Niklas Bunzel (Media Watermarking, Security, and Forensics, 2023)

Predicting positions of flipped bits in robust image hashes. - Marius Leon Hammann; Martin Steinebach; Huajian Liu; Niklas Bunzel (Media Watermarking, Security, and Forensics, 2023)

Multi-class Detection for Off The Shelf transfer-based Black Box Attacks. - Niklas Bunzel; Dominic Böringer (SecTL@AsiaCCS, 2023)

Patching the Cracks: Detecting and Addressing Adversarial Examples in Real-World Applications. - Niklas Bunzel (DSN-S, 2024)

Measuring the Effects of Environmental Influences on Object Detection. - Niklas Bunzel; Michel Geißler; Gerrit Klause (DSN-W, 2024)

Adversarial Patch Detection: Leveraging Depth Contrast for Enhanced Threat Visibility. - Niklas Bunzel; Jannis Hamborg (DSN-W, 2024)

Bridging the Gap: The Role of OWASP AI Exchange in AI Standardization. - Niklas Bunzel; Nicolas Göller (INFORMATIK, 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)

Analyzing the Effectiveness of Image Preprocessing Defenses Under Runtime Constraints. - Niklas Bunzel; Gerrit Klause (TrustCom, 2024)

On the Transferability of Adversarial Attacks from Convolutional Neural Networks to Variants of ChatGPT4. - Niklas Bunzel (DSN-W, 2025)

Compliance Made Practical: Translating the EU AI Act into Implementable Security Actions. - Niklas Bunzel (RAIE, 2025)

The Relationship Between Network Similarity and Transferability of Adversarial Attacks. - Gerrit Klause; Niklas Bunzel (CoRR, 2025)