| Evaluating the Social Impact of Generative AI Systems in Systems and Society I Solaiman, Z Talat, W Agnew, L Ahmad, D Baker, SL Blodgett, C Chen, ... arXiv preprint arXiv:2306.05949, 2023 | 123 | 2023 |
| Auditing and instructing text-to-image generation models on fairness F Friedrich, M Brack, L Struppek, D Hintersdorf, P Schramowski, ... AI and Ethics, 1-21, 2024 | 111* | 2024 |
| SEGA: Instructing Text-to-Image Models using Semantic Guidance M Brack, F Friedrich, D Hintersdorf, L Struppek, P Schramowski, ... Conference on Neural Information Processing Systems (NeurIPS), 2023 | 84* | 2023 |
| Plug & Play Attacks: Towards Robust and Flexible Model Inversion L Struppek, D Hintersdorf, ADA Correia, A Adler, K Kersting International Conference on Machine Learning (ICML) 162, 20522-20545, 2022 | 82* | 2022 |
| Rickrolling the Artist: Injecting Backdoors into Text Encoders for Text-to-Image Synthesis L Struppek, D Hintersdorf, K Kersting International Conference on Computer Vision (ICCV), 2023 | 72* | 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 | 63* | 2023 |
| Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash L Struppek, D Hintersdorf, D Neider, K Kersting ACM Conference on Fairness, Accountability, and Transparency (FAccT), 58-69, 2022 | 55 | 2022 |
| To Trust or Not To Trust Prediction Scores for Membership Inference Attacks D Hintersdorf, L Struppek, K Kersting International Joint Conference on Artificial Intelligence (IJCAI), 3043-3049, 2021 | 22 | 2021 |
| Does CLIP Know My Face? D Hintersdorf, L Struppek, M Brack, F Friedrich, P Schramowski, ... Journal of Artificial Intelligence Research (JAIR), 2024 | 20 | 2024 |
| Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks L Struppek, D Hintersdorf, K Kersting International Conference on Learning Representations (ICLR), 2024 | 19 | 2024 |
| Sparsely-gated Mixture-of-Expert Layers for CNN Interpretability S Pavlitskaya, C Hubschneider, L Struppek, JM Zöllner International Joint Conference on Neural Networks (IJCNN), 2023 | 13* | 2023 |
| Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models D Hintersdorf, L Struppek, K Kersting, A Dziedzic, F Boenisch Conference on Neural Information Processing Systems (NeurIPS), 2024 | 9* | 2024 |
| Combining AI and AM — Improving Approximate Matching through Transformer Networks F Uhlig, L Struppek, D Hintersdorf, T Göbel, H Baier, K Kersting Forensic Science International: Digital Investigation 45, 301570, 2023 | 8 | 2023 |
| Leveraging Diffusion-Based Image Variations for Robust Training on Poisoned Data L Struppek, MB Hentschel, C Poth, D Hintersdorf, K Kersting Conference on Neural Information Processing Systems (NeurIPS) - Workshop on …, 2023 | 7 | 2023 |
| Exploring the Adversarial Capabilities of Large Language Models L Struppek, MH Le, D Hintersdorf, K Kersting International Conference on Learning Representations (ICLR) - Workshop on …, 2024 | 6 | 2024 |
| Class Attribute Inference Attacks: Inferring Sensitive Class Information by Diffusion-Based Attribute Manipulations L Struppek, D Hintersdorf, F Friedrich, M Brack, P Schramowski, ... Conference on Neural Information Processing Systems (NeurIPS) - Workshop on …, 2024 | 6* | 2024 |
| Balancing Transparency and Risk: The Security and Privacy Risks of Open-Source Machine Learning Models D Hintersdorf, L Struppek, K Kersting AISoLA: Bridging the Gap Between AI and Reality, 2023 | 5 | 2023 |
| Defending Our Privacy With Backdoors D Hintersdorf, L Struppek, D Neider, K Kersting European Conference of Artificial Intelligence (ECAI), 2024 | 4 | 2024 |
| Navigating Shortcuts, Spurious Correlations, and Confounders: From Origins via Detection to Mitigation D Steinmann, F Divo, M Kraus, A Wüst, L Struppek, F Friedrich, K Kersting arXiv preprint arXiv:2412.05152, 2024 | 2 | 2024 |
| Exploiting cultural biases via homoglyphs intext-to-image synthesis (abstract reprint) L Struppek, D Hintersdorf, F Friedrich, M Brack, P Schramowski, ... Proceedings of the Thirty-Third International Joint Conference on Artificial …, 2024 | 2 | 2024 |
Kristian KerstingProfessor of AI & ML, Technical University of Darmstadt, Hessian.ai/DFKI, CAIRNE/ELLIS, AAAI FellowVerified email at cs.tu-darmstadt.de
