Franziska Boenisch
19 papers · 2022–2026 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (33) π€ Dynamic Duo (19)
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(10)
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Dynamic Duo
(19)
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(5)
π₯
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Machine Learning
(18)
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(15)
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(9)
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(9)
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(9)
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(8)
Models
(6)
Security & Privacy
(4)
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(4)
Computer Vision
(3)
Natural Language Processing
(3)
Resources & Methods
(3)
Architectures
(2)
Differential Privacy
(2)
Generation
(2)
Keywords
diffusion model
(6)
differential privacy
(6)
dataset inference
(4)
large language model
(3)
privacy-utility trade-off
(3)
self-supervised learning
(3)
image generation
(2)
representation learning
(2)
memorization localization
(2)
membership inference
(2)
membership inference attack
(2)
privacy budget
(2)
intellectual property
(2)
soft prompt
(2)
model stealing
(2)
knowledge distillation
(1)
vision transformer
(1)
prototype learning
(1)
density estimation
(1)
image segmentation
(1)
Papers
Beautiful Images, Toxic Words: Understanding and Addressing Offensive Text in Generated Images
AAAI 2026
Demystifying Foreground-Background Memorization in Diffusion Models
AAAI 2026
On Stealing Graph Neural Network Models
AAAI 2026
Captured by Captions: On Memorization and its Mitigation in CLIP Models
ICLR 2025
CDI: Copyrighted Data Identification in Diffusion Models
CVPR 2025
Differentially Private Federated Learning with Time-Adaptive Privacy Spending
ICLR 2025
Differentially Private Prototypes for Imbalanced Transfer Learning
AAAI 2025
Efficient and Privacy-Preserving Soft Prompt Transfer for LLMs
ICML 2025
Precise Parameter Localization for Textual Generation in Diffusion Models
ICLR 2025
Privacy Attacks on Image AutoRegressive Models
ICML 2025
Unlocking Post-hoc Dataset Inference with Synthetic Data
ICML 2025
Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models
NeurIPS 2024
Localizing Memorization in SSL Vision Encoders
NeurIPS 2024
Memorization in Self-Supervised Learning Improves Downstream Generalization
ICLR 2024
Open LLMs are Necessary for Current Private Adaptations and Outperform their Closed Alternatives
NeurIPS 2024
Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders
NeurIPS 2023
Flocks of Stochastic Parrots: Differentially Private Prompt Learning for Large Language Models
NeurIPS 2023
Have it your way: Individualized Privacy Assignment for DP-SGD
NeurIPS 2023
Dataset Inference for Self-Supervised Models
NeurIPS 2022