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2020 – today
- 2024
[j2]Dominik Hintersdorf, Lukas Struppek, Manuel Brack, Felix Friedrich, Patrick Schramowski, Kristian Kersting:
Does CLIP Know My Face? J. Artif. Intell. Res. 80: 1033-1062 (2024)- [c11]Dominik Hintersdorf, Lukas Struppek, Daniel Neider, Kristian Kersting:
Defending Our Privacy with Backdoors. ECAI 2024: 1832-1839 - [c10]Domenique Zipperling, Simeon Allmendinger, Lukas Struppek, Niklas Kühl:
Collafuse: Navigating Limited Resources and Privacy in Collaborative Generative AI. ECIS 2024 - [c9]Lukas Struppek, Dominik Hintersdorf, Kristian Kersting:
Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks. ICLR 2024 - [c8]Lukas Struppek, Dominik Hintersdorf, Felix Friedrich, Manuel Brack, Patrick Schramowski, Kristian Kersting:
Exploiting Cultural Biases via Homoglyphs inText-to-Image Synthesis (Abstract Reprint). IJCAI 2024: 8486 - [i20]Lukas Struppek, Minh Hieu Le, Dominik Hintersdorf, Kristian Kersting:
Exploring the Adversarial Capabilities of Large Language Models. CoRR abs/2402.09132 (2024) - [i19]Domenique Zipperling, Simeon Allmendinger, Lukas Struppek, Niklas Kühl:
CollaFuse: Navigating Limited Resources and Privacy in Collaborative Generative AI. CoRR abs/2402.19105 (2024) - [i18]Dominik Hintersdorf, Lukas Struppek, Kristian Kersting, Adam Dziedzic, Franziska Boenisch:
Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models. CoRR abs/2406.02366 (2024) - [i17]Simeon Allmendinger, Domenique Zipperling, Lukas Struppek, Niklas Kühl:
CollaFuse: Collaborative Diffusion Models. CoRR abs/2406.14429 (2024) - [i16]David Steinmann, Felix Divo, Maurice Kraus, Antonia Wüst, Lukas Struppek, Felix Friedrich, Kristian Kersting:
Navigating Shortcuts, Spurious Correlations, and Confounders: From Origins via Detection to Mitigation. CoRR abs/2412.05152 (2024) - 2023
- [j1]Lukas Struppek, Dominik Hintersdorf, Felix Friedrich, Manuel Brack, Patrick Schramowski, Kristian Kersting:
Exploiting Cultural Biases via Homoglyphs in Text-to-Image Synthesis. J. Artif. Intell. Res. 78: 1017-1068 (2023) - [c7]Lukas Struppek, Dominik Hintersdorf, Kristian Kersting:
Rickrolling the Artist: Injecting Backdoors into Text Encoders for Text-to-Image Synthesis. ICCV 2023: 4561-4573 - [c6]Svetlana Pavlitska, Christian Hubschneider, Lukas Struppek, J. Marius Zöllner:
Sparsely-gated Mixture-of-Expert Layers for CNN Interpretability. IJCNN 2023: 1-10 - [c5]Manuel Brack, Felix Friedrich, Dominik Hintersdorf, Lukas Struppek, Patrick Schramowski, Kristian Kersting:
SEGA: Instructing Text-to-Image Models using Semantic Guidance. NeurIPS 2023 - [c4]Dominik Hintersdorf
, Lukas Struppek, Kristian Kersting:
Balancing Transparency and Risk: An Overview of the Security and Privacy Risks of Open-Source Machine Learning Models. AISoLA (Selected Papers) 2023: 269-283 - [i15]Manuel Brack, Felix Friedrich, Dominik Hintersdorf, Lukas Struppek, Patrick Schramowski, Kristian Kersting:
SEGA: Instructing Diffusion using Semantic Dimensions. CoRR abs/2301.12247 (2023) - [i14]Felix Friedrich, Patrick Schramowski, Manuel Brack, Lukas Struppek, Dominik Hintersdorf, Sasha Luccioni, Kristian Kersting:
Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness. CoRR abs/2302.10893 (2023) - [i13]Lukas Struppek, Dominik Hintersdorf, Felix Friedrich, Manuel Brack, Patrick Schramowski, Kristian Kersting:
Image Classifiers Leak Sensitive Attributes About Their Classes. CoRR abs/2303.09289 (2023) - [i12]Dominik Hintersdorf, Lukas Struppek, Kristian Kersting:
Balancing Transparency and Risk: The Security and Privacy Risks of Open-Source Machine Learning Models. CoRR abs/2308.09490 (2023) - [i11]Lukas Struppek, Martin B. Hentschel, Clifton Poth, Dominik Hintersdorf, Kristian Kersting:
Leveraging Diffusion-Based Image Variations for Robust Training on Poisoned Data. CoRR abs/2310.06372 (2023) - [i10]Lukas Struppek, Dominik Hintersdorf, Kristian Kersting:
Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks. CoRR abs/2310.06549 (2023) - [i9]Dominik Hintersdorf, Lukas Struppek, Daniel Neider, Kristian Kersting:
Defending Our Privacy With Backdoors. CoRR abs/2310.08320 (2023) - 2022
- [c3]Lukas Struppek, Dominik Hintersdorf, Daniel Neider, Kristian Kersting:
Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash. FAccT 2022: 58-69 - [c2]Lukas Struppek, Dominik Hintersdorf, Antonio De Almeida Correia, Antonia Adler, Kristian Kersting:
Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks. ICML 2022: 20522-20545 - [c1]Dominik Hintersdorf, Lukas Struppek, Kristian Kersting:
To Trust or Not To Trust Prediction Scores for Membership Inference Attacks. IJCAI 2022: 3043-3049 - [i8]Lukas Struppek, Dominik Hintersdorf, Antonio De Almeida Correia, Antonia Adler, Kristian Kersting:
Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks. CoRR abs/2201.12179 (2022) - [i7]Svetlana Pavlitskaya, Christian Hubschneider, Lukas Struppek, J. Marius Zöllner:
Balancing Expert Utilization in Mixture-of-Experts Layers Embedded in CNNs. CoRR abs/2204.10598 (2022) - [i6]Frieder Uhlig, Lukas Struppek, Dominik Hintersdorf, Kristian Kersting:
Transformer-Boosted Anomaly Detection with Fuzzy Hashes. CoRR abs/2208.11367 (2022) - [i5]Dominik Hintersdorf, Lukas Struppek, Kristian Kersting:
CLIPping Privacy: Identity Inference Attacks on Multi-Modal Machine Learning Models. CoRR abs/2209.07341 (2022) - [i4]Lukas Struppek, Dominik Hintersdorf, Kristian Kersting:
The Biased Artist: Exploiting Cultural Biases via Homoglyphs in Text-Guided Image Generation Models. CoRR abs/2209.08891 (2022) - [i3]Lukas Struppek, Dominik Hintersdorf, Kristian Kersting:
Rickrolling the Artist: Injecting Invisible Backdoors into Text-Guided Image Generation Models. CoRR abs/2211.02408 (2022) - 2021
- [i2]Lukas Struppek, Dominik Hintersdorf, Daniel Neider, Kristian Kersting:
Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash. CoRR abs/2111.06628 (2021) - [i1]Dominik Hintersdorf, Lukas Struppek, Kristian Kersting:
Do Not Trust Prediction Scores for Membership Inference Attacks. CoRR abs/2111.09076 (2021)
Coauthor Index
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