research
∙
08/18/2023
Balancing Transparency and Risk: The Security and Privacy Risks of Open-Source Machine Learning Models
The field of artificial intelligence (AI) has experienced remarkable pro...
share
research
∙
03/16/2023
Image Classifiers Leak Sensitive Attributes About Their Classes
Neural network-based image classifiers are powerful tools for computer v...
research
∙
02/07/2023
Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness
Generative AI models have recently achieved astonishing results in quali...
research
∙
01/28/2023
SEGA: Instructing Diffusion using Semantic Dimensions
Text-to-image diffusion models have recently received a lot of interest ...
research
∙
12/12/2022
The Stable Artist: Steering Semantics in Diffusion Latent Space
Large, text-conditioned generative diffusion models have recently gained...
research
∙
11/04/2022
Rickrolling the Artist: Injecting Invisible Backdoors into Text-Guided Image Generation Models
While text-to-image synthesis currently enjoys great popularity among re...
research
∙
09/19/2022
The Biased Artist: Exploiting Cultural Biases via Homoglyphs in Text-Guided Image Generation Models
Text-guided image generation models, such as DALL-E 2 and Stable Diffusi...
research
∙
09/15/2022
CLIPping Privacy: Identity Inference Attacks on Multi-Modal Machine Learning Models
As deep learning is now used in many real-world applications, research h...
research
∙
08/24/2022
Transformer-Boosted Anomaly Detection with Fuzzy Hashes
Fuzzy hashes are an important tool in digital forensics and are used in ...
research
∙
01/28/2022
Plug Play Attacks: Towards Robust and Flexible Model Inversion Attacks
Model inversion attacks (MIAs) aim to create synthetic images that refle...
research
∙
11/17/2021
Do Not Trust Prediction Scores for Membership Inference Attacks
Membership inference attacks (MIAs) aim to determine whether a specific ...
research
∙
11/12/2021