Franziska Boenisch
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
9
Active years
2021–2026
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Demystifying Foreground-Background Memorization in Diffusion Models. | Jimmy Z. Di, Yiwei Lu, Yaoliang Yu, Gautam Kamath, Adam Dziedzic, Franziska Boenisch |
| 2026 | AAAI | Beautiful Images, Toxic Words: Understanding and Addressing Offensive Text in Generated Images. | Aditya Kumar, Tom Blanchard, Adam Dziedzic, Franziska Boenisch |
| 2026 | AAAI | On Stealing Graph Neural Network Models. | Marcin Podhajski, Jan Dubinski, Franziska Boenisch, Adam Dziedzic, Agnieszka Pregowska, Tomasz Pawel Michalak |
| 2026 | AsiaCCS | ADAGE: Active Defenses Against GNN Extraction. | Jing Xu, Franziska Boenisch, Adam Dziedzic |
| 2025 | AAAI | Differentially Private Prototypes for Imbalanced Transfer Learning. | Dariush Wahdany, Matthew Jagielski, Adam Dziedzic, Franziska Boenisch |
| 2025 | CVPR | CDI: Copyrighted Data Identification in Diffusion Models. | Jan Dubinski, Antoni Kowalczuk, Franziska Boenisch, Adam Dziedzic |
| 2025 | ICLR | Differentially Private Federated Learning with Time-Adaptive Privacy Spending. | Shahrzad Kiani, Nupur Kulkarni, Adam Dziedzic, Stark C. Draper, Franziska Boenisch |
| 2025 | ICLR | Precise Parameter Localization for Textual Generation in Diffusion Models. | Lukasz Staniszewski, Bartosz Cywinski, Franziska Boenisch, Kamil Deja, Adam Dziedzic |
| 2025 | ICLR | Captured by Captions: On Memorization and its Mitigation in CLIP Models. | Wenhao Wang, Adam Dziedzic, Grace C. Kim, Michael Backes, Franziska Boenisch |
| 2025 | ICML | Privacy Attacks on Image AutoRegressive Models. | Antoni Kowalczuk, Jan Dubinski, Franziska Boenisch, Adam Dziedzic |
| 2025 | ICML | Efficient and Privacy-Preserving Soft Prompt Transfer for LLMs. | Xun Wang, Jing Xu, Franziska Boenisch, Michael Backes, Christopher A. Choquette-Choo, Adam Dziedzic |
| 2025 | ICML | Unlocking Post-hoc Dataset Inference with Synthetic Data. | Bihe Zhao, Pratyush Maini, Franziska Boenisch, Adam Dziedzic |
| 2024 | ECAI | Efficient Model-Stealing Attacks Against Inductive Graph Neural Networks. | Marcin Podhajski, Jan Dubinski, Franziska Boenisch, Adam Dziedzic, Agnieszka Pregowska, Tomasz P. Michalak |
| 2024 | ICLR | Memorization in Self-Supervised Learning Improves Downstream Generalization. | Wenhao Wang, Muhammad Ahmad Kaleem, Adam Dziedzic, Michael Backes, Nicolas Papernot, Franziska Boenisch |
| 2024 | ISIT | Controlled privacy leakage propagation throughout differential private overlapping grouped learning. | Shahrzad Kiani, Franziska Boenisch, Stark C. Draper |
| 2022 | GI | The Influence of Training Parameters on Neural Networks' Vulnerability to Membership Inference Attacks. | Oussama Bouanani, Franziska Boenisch |
| 2021 | CCS | Side-Channel Attacks on Query-Based Data Anonymization. | Franziska Boenisch, Reinhard Munz, Marcel Tiepelt, Simon Hanisch, Christiane Kuhn, Paul Francis |