| Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models P Schramowski, M Brack, B Deiseroth, K Kersting Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 95 | 2023 |
| SEGA: Instructing Text-to-Image Models using Semantic Guidance M Brack, F Friedrich, D Hintersdorf, L Struppek, P Schramowski, ... Proceedings of the 37th Conference on Neural Information Processing Systems …, 2023 | 51* | 2023 |
| Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness F Friedrich, M Brack, L Struppek, D Hintersdorf, P Schramowski, ... arXiv preprint arXiv:2302.10893, 2023 | 49 | 2023 |
| Exploiting Cultural Biases via Homoglyphs in Text-to-Image Synthesis L Struppek, D Hintersdorf, F Friedrich, M Brack, P Schramowski, ... Journal of Artificial Intelligence Research (JAIR) 78, 1017-1068, 2023 | 32* | 2023 |
| MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation M Bellagente, M Brack, H Teufel, F Friedrich, B Deiseroth, C Eichenberg, ... Proceedings of the 37th Conference on Neural Information Processing Systems …, 2023 | 17* | 2023 |
| LEDITS++: Limitless Image Editing using Text-to-Image Models M Brack, F Friedrich, K Kornmeier, L Tsaban, P Schramowski, K Kersting, ... Proceedings of the IEEE / CVF Computer Vision and Pattern Recognition …, 2024 | 15* | 2024 |
| How Long Do Vulnerabilities Live in the Code? A Large-Scale Empirical Measurement Study on FOSS Vulnerability Lifetimes N Alexopoulos, M Brack, JP Wagner, T Grube, M Mühlhäuser Proceedings of the 31st USENIX Security Symposium (USENIX Security 22), 359-376, 2022 | 15 | 2022 |
| Atman: Understanding transformer predictions through memory efficient attention manipulation B Deiseroth, M Deb, S Weinbach, M Brack, P Schramowski, K Kersting Proceedings of the 37th Conference on Neural Information Processing Systems …, 2023 | 12* | 2023 |
| Does CLIP Know My Face? D Hintersdorf, L Struppek, M Brack, F Friedrich, P Schramowski, ... Journal of Artificial Intelligence Research (JAIR), 2024 | 6* | 2024 |
| Mitigating Inappropriateness in Image Generation: Can there be Value in Reflecting the World's Ugliness? M Brack, F Friedrich, P Schramowski, K Kersting Workshop on Challenges of Deploying Generative AI at ICML and Workshop on …, 2023 | 6 | 2023 |
| Distilling Adversarial Prompts from Safety Benchmarks: Report for the Adversarial Nibbler Challenge M Brack, P Schramowski, K Kersting Proceedings of the ART of Safety: Workshop on Adversarial testing and Red …, 2023 | 2 | 2023 |
| Learning by Self-Explaining W Stammer, F Friedrich, D Steinmann, M Brack, H Shindo, K Kersting arXiv preprint arXiv:2309.08395, 2023 | 2 | 2023 |
| ILLUME: Rationalizing Vision-Language Models through Human Interactions M Brack, P Schramowski, B Deiseroth, K Kersting Proceedings of the International Conference on Machine Learning (ICML), 2023 | 2 | 2023 |
| A large-scale statistical Analysis of Vulnerability Lifetimes in Open-Source Software M Brack Bachelor thesis. Technical University of Darmstadt, 2020 | 2 | 2020 |
| Image Classifiers Leak Sensitive Attributes About Their Classes L Struppek, D Hintersdorf, F Friedrich, M Brack, P Schramowski, ... arXiv preprint arXiv:2303.09289, 2023 | 1 | 2023 |
| DeiSAM: Segment Anything with Deictic Prompting H Shindo, M Brack, G Sudhakaran, DS Dhami, P Schramowski, K Kersting arXiv preprint arXiv:2402.14123, 2024 | | 2024 |
| LLAVAGUARD: VLM-based Safeguard for Vision Dataset Curation and Safety Assessment L Helff, F Friedrich, M Brack, P Schramowsk, K Kersting Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| Class Attribute Inference Attacks: Inferring Sensitive Class Information by Diffusion-Based Attribute Manipulations L Struppek, D Hintersdorf, F Friedrich, M Brack, P Schramowski, ... arXiv preprint arXiv:2303.09289, 2023 | | 2023 |
Kristian KerstingProfessor of AI & ML, TU Darmstadt, Co-Director hessian.ai, DFKI, Germany, CLAIRE & ELLISVerified email at cs.tu-darmstadt.de
