How Long Do Vulnerabilities Live in the Code? A Large-Scale Empirical Measurement Study on FOSS Vulnerability Lifetimes. - Nikolaos Alexopoulos; Manuel Brack; Jan Philipp Wagner; Tim Grube; Max Mühlhäuser (USENIX Security Symposium, 2022)

ILLUME: Rationalizing Vision-Language Models by Interacting with their Jabber. - Manuel Brack; Patrick Schramowski; Björn Deiseroth; Kristian Kersting (CoRR, 2022)

The Stable Artist: Steering Semantics in Diffusion Latent Space. - Manuel Brack; Patrick Schramowski; Felix Friedrich; Dominik Hintersdorf; Kristian Kersting (CoRR, 2022)

Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models. - Patrick Schramowski; Manuel Brack; Björn Deiseroth; Kristian Kersting (CVPR, 2023)

ILLUME: Rationalizing Vision-Language Models through Human Interactions. - Manuel Brack; Patrick Schramowski; Björn Deiseroth; Kristian Kersting (ICML, 2023)

MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation. - Marco Bellagente; Manuel Brack; Hannah Teufel; Felix Friedrich; Björn Deiseroth; Constantin Eichenberg; Andrew Dai 001; Robert Baldock; Souradeep Nanda; Koen Oostermeijer; Andrés Felipe Cruz-Salinas; Patrick Schramowski; et al. (NeurIPS, 2023)

SEGA: Instructing Text-to-Image Models using Semantic Guidance. - Manuel Brack; Felix Friedrich; Dominik Hintersdorf; Lukas Struppek; Patrick Schramowski; Kristian Kersting (NeurIPS, 2023)

ATMAN: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation. - Björn Deiseroth; Mayukh Deb; Samuel Weinbach; Manuel Brack; Patrick Schramowski; Kristian Kersting (NeurIPS, 2023)

SEGA: Instructing Diffusion using Semantic Dimensions. - Manuel Brack; Felix Friedrich; Dominik Hintersdorf; Lukas Struppek; Patrick Schramowski; Kristian Kersting (CoRR, 2023)

Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness. - Felix Friedrich; Patrick Schramowski; Manuel Brack; Lukas Struppek; Dominik Hintersdorf; Sasha Luccioni; Kristian Kersting (CoRR, 2023)

Image Classifiers Leak Sensitive Attributes About Their Classes. - Lukas Struppek; Dominik Hintersdorf; Felix Friedrich; Manuel Brack; Patrick Schramowski; Kristian Kersting (CoRR, 2023)

Mitigating Inappropriateness in Image Generation: Can there be Value in Reflecting the World's Ugliness? - Manuel Brack; Felix Friedrich; Patrick Schramowski; Kristian Kersting (CoRR, 2023)

Distilling Adversarial Prompts from Safety Benchmarks: Report for the Adversarial Nibbler Challenge. - Manuel Brack; Patrick Schramowski; Kristian Kersting (CoRR, 2023)

Exploiting Cultural Biases via Homoglyphs in Text-to-Image Synthesis. - Lukas Struppek; Dominik Hintersdorf; Felix Friedrich; Manuel Brack; Patrick Schramowski; Kristian Kersting (J. Artif. Intell. Res., 2023)

LEDITS++: Limitless Image Editing Using Text-to-Image Models. - Manuel Brack; Felix Friedrich; Katharina Kornmeier; Linoy Tsaban; Patrick Schramowski; Kristian Kersting; Apolinário Passos (CVPR, 2024)

T-FREE: Subword Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings. - Björn Deiseroth; Manuel Brack; Patrick Schramowski; Kristian Kersting; Samuel Weinbach (EMNLP, 2024)

Exploiting Cultural Biases via Homoglyphs inText-to-Image Synthesis (Abstract Reprint). - Lukas Struppek; Dominik Hintersdorf; Felix Friedrich; Manuel Brack; Patrick Schramowski; Kristian Kersting (IJCAI, 2024)

DeiSAM: Segment Anything with Deictic Prompting. - Hikaru Shindo; Manuel Brack; Gopika Sudhakaran; Devendra Singh Dhami; Patrick Schramowski; Kristian Kersting (NeurIPS, 2024)

Occiglot at WMT24: European Open-source Large Language Models Evaluated on Translation. - Eleftherios Avramidis; Annika Grützner-Zahn; Manuel Brack; Patrick Schramowski; Pedro Ortiz Suarez; Malte Ostendorff; Fabio Barth; Shushen Manakhimova; Vivien Macketanz; Georg Rehm; Kristian Kersting (WMT, 2024)

LLavaGuard: VLM-based Safeguards for Vision Dataset Curation and Safety Assessment. - Lukas Helff; Felix Friedrich; Manuel Brack; Kristian Kersting; Patrick Schramowski (CoRR, 2024)

T-FREE: Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings. - Björn Deiseroth; Manuel Brack; Patrick Schramowski; Kristian Kersting; Samuel Weinbach (CoRR, 2024)

Core Tokensets for Data-efficient Sequential Training of Transformers. - Subarnaduti Paul; Manuel Brack; Patrick Schramowski; Kristian Kersting; Martin Mundt (CoRR, 2024)

SCAR: Sparse Conditioned Autoencoders for Concept Detection and Steering in LLMs. - Ruben Härle; Felix Friedrich; Manuel Brack; Björn Deiseroth; Patrick Schramowski; Kristian Kersting (CoRR, 2024)

LLMs Lost in Translation: M-ALERT uncovers Cross-Linguistic Safety Gaps. - Felix Friedrich; Simone Tedeschi; Patrick Schramowski; Manuel Brack; Roberto Navigli; Huu Nguyen; Bo Li; Kristian Kersting (CoRR, 2024)

Does CLIP Know My Face? - Dominik Hintersdorf; Lukas Struppek; Manuel Brack; Felix Friedrich; Patrick Schramowski; Kristian Kersting (J. Artif. Intell. Res., 2024)

Learning by Self-Explaining. - Wolfgang Stammer; Felix Friedrich; David Steinmann; Manuel Brack; Hikaru Shindo; Kristian Kersting (Trans. Mach. Learn. Res., 2024)

Multilingual Text-to-Image Generation Magnifies Gender Stereotypes. - Felix Friedrich; Katharina Hämmerl; Patrick Schramowski; Manuel Brack; Jindrich Libovický; Alexander Fraser 001; Kristian Kersting (ACL (1), 2025)

The Cake that is Intelligence and Who Gets to Bake it: An AI Analogy and its Implications for Participation. - Martin Mundt; Anaelia Ovalle; Felix Friedrich; Pranav Agrawal 003; Subarnaduti Paul; Manuel Brack; Kristian Kersting; William Agnew (CoRR, 2025)

Judging Quality Across Languages: A Multilingual Approach to Pretraining Data Filtering with Language Models. - Mehdi Ali; Manuel Brack; Max Lübbering; Elias Wendt; Abbas Goher Khan; Richard Rutmann; Alex Jude; Maurice Kraus; Alexander Arno Weber; David Kaczér; Florian Mai; Lucie Flek; et al. (CoRR, 2025)

Auditing and instructing text-to-image generation models on fairness. - Felix Friedrich; Manuel Brack; Lukas Struppek; Dominik Hintersdorf; Patrick Schramowski; Sasha Luccioni; Kristian Kersting (AI Ethics, 2025)

How to Train your Text-to-Image Model: Evaluating Design Choices for Synthetic Training Captions. - Manuel Brack; Sudeep Katakol; Felix Friedrich; Patrick Schramowski; Hareesh Ravi; Kristian Kersting; Ajinkya Kale (CoRR, 2025)

Measuring and Guiding Monosemanticity. - Ruben Härle; Felix Friedrich; Manuel Brack; Stephan Wäldchen; Björn Deiseroth; Patrick Schramowski; Kristian Kersting (CoRR, 2025)

Beyond Overcorrection: Evaluating Diversity in T2I Models with DivBench. - Felix Friedrich; Thiemo Ganesha Welsch; Manuel Brack; Patrick Schramowski; Kristian Kersting (CoRR, 2025)