Dominik Hintersdorf

According to our database, Dominik Hintersdorf authored at least 20 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Exploring the Adversarial Capabilities of Large Language Models.

Lukas Struppek, Minh Hieu Le, Dominik Hintersdorf, Kristian Kersting

CoRR, 2024

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

Defending Our Privacy With Backdoors.

Dominik Hintersdorf, Lukas Struppek, Daniel Neider, Kristian Kersting

CoRR, 2023

Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks.

Lukas Struppek, Dominik Hintersdorf, Kristian Kersting

CoRR, 2023

Leveraging Diffusion-Based Image Variations for Robust Training on Poisoned Data.

Lukas Struppek, Martin B. Hentschel, Clifton Poth, Dominik Hintersdorf, Kristian Kersting

CoRR, 2023

Balancing Transparency and Risk: The Security and Privacy Risks of Open-Source Machine Learning Models.

Dominik Hintersdorf, Lukas Struppek, 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

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

SEGA: Instructing Diffusion using Semantic Dimensions.

Manuel Brack, Felix Friedrich, Dominik Hintersdorf, Lukas Struppek, Patrick Schramowski, Kristian Kersting

CoRR, 2023

SEGA: Instructing Text-to-Image Models using Semantic Guidance.

Manuel Brack, Felix Friedrich, Dominik Hintersdorf, Lukas Struppek, Patrick Schramowski, Kristian Kersting

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Rickrolling the Artist: Injecting Backdoors into Text Encoders for Text-to-Image Synthesis.

Lukas Struppek, Dominik Hintersdorf, Kristian Kersting

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

The Stable Artist: Steering Semantics in Diffusion Latent Space.

Manuel Brack, Patrick Schramowski, Felix Friedrich, Dominik Hintersdorf, Kristian Kersting

CoRR, 2022

Rickrolling the Artist: Injecting Invisible Backdoors into Text-Guided Image Generation Models.

Lukas Struppek, Dominik Hintersdorf, Kristian Kersting

CoRR, 2022

The Biased Artist: Exploiting Cultural Biases via Homoglyphs in Text-Guided Image Generation Models.

Lukas Struppek, Dominik Hintersdorf, Kristian Kersting

CoRR, 2022

CLIPping Privacy: Identity Inference Attacks on Multi-Modal Machine Learning Models.

Dominik Hintersdorf, Lukas Struppek, Kristian Kersting

CoRR, 2022

Transformer-Boosted Anomaly Detection with Fuzzy Hashes.

Frieder Uhlig, Lukas Struppek, Dominik Hintersdorf, Kristian Kersting

CoRR, 2022

To Trust or Not To Trust Prediction Scores for Membership Inference Attacks.

Dominik Hintersdorf, Lukas Struppek, Kristian Kersting

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks.

Lukas Struppek, Dominik Hintersdorf, Antonio De Almeida Correia, Antonia Adler, Kristian Kersting

Proceedings of the International Conference on Machine Learning, 2022

Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash.

Lukas Struppek, Dominik Hintersdorf, Daniel Neider, Kristian Kersting

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021

Do Not Trust Prediction Scores for Membership Inference Attacks.

Dominik Hintersdorf, Lukas Struppek, Kristian Kersting

CoRR, 2021