Franziska Boenisch
19 papers · 2022–2026 · 5 conferences · across top CS/AI conferences
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differential privacy
(4)
diffusion model
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self-supervised learning
(2)
membership inference
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model stealing
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privacy-utility trade-off
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Papers
On Stealing Graph Neural Network Models
AAAI 2026
Demystifying Foreground-Background Memorization in Diffusion Models
AAAI 2026
Beautiful Images, Toxic Words: Understanding and Addressing Offensive Text in Generated Images
AAAI 2026
Efficient and Privacy-Preserving Soft Prompt Transfer for LLMs
ICML 2025
Differentially Private Prototypes for Imbalanced Transfer Learning
AAAI 2025
CDI: Copyrighted Data Identification in Diffusion Models
CVPR 2025
Unlocking Post-hoc Dataset Inference with Synthetic Data
ICML 2025
Differentially Private Federated Learning with Time-Adaptive Privacy Spending
ICLR 2025
Captured by Captions: On Memorization and its Mitigation in CLIP Models
ICLR 2025
Precise Parameter Localization for Textual Generation in Diffusion Models
ICLR 2025
Privacy Attacks on Image AutoRegressive Models
ICML 2025
Memorization in Self-Supervised Learning Improves Downstream Generalization
ICLR 2024
Open LLMs are Necessary for Current Private Adaptations and Outperform their Closed Alternatives
NIPS 2024
Localizing Memorization in SSL Vision Encoders
NIPS 2024
Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models
NIPS 2024
Flocks of Stochastic Parrots: Differentially Private Prompt Learning for Large Language Models
NIPS 2023
Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders
NIPS 2023
Have it your way: Individualized Privacy Assignment for DP-SGD
NIPS 2023
Dataset Inference for Self-Supervised Models
NIPS 2022