AlignmentResearch/wagon_mix
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AI & ML interests
Frontier alignment research to ensure the safe development and deployment of advanced AI systems.
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iutyv
updated a
dataset 4 days ago
annahbanannah
updated a
dataset 12 days ago
annahbanannah
published a
dataset 12 days ago
iutyv
published a
dataset 13 days ago
skar0
published a
dataset 17 days ago
skar0
updated a
dataset 17 days ago
lukas-struppek
submitted a
paper to Daily Papers 9 months ago
lukas-struppek
authored a
paper over 1 year ago
lukas-struppek
authored 12
papers over 2 years ago
To Trust or Not To Trust Prediction Scores for Membership Inference Attacks
Paper • 2111.09076 • Published • 1
Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks
Paper • 2201.12179 • Published • 1
Does CLIP Know My Face?
Paper • 2209.07341 • Published • 1
Balancing Transparency and Risk: The Security and Privacy Risks of Open-Source Machine Learning Models
Paper • 2308.09490 • Published • 1
Leveraging Diffusion-Based Image Variations for Robust Training on Poisoned Data
Paper • 2310.06372 • Published • 1
Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks
Paper • 2310.06549 • Published • 1
Defending Our Privacy With Backdoors
Paper • 2310.08320 • Published • 1
Sparsely-gated Mixture-of-Expert Layers for CNN Interpretability
Paper • 2204.10598 • Published • 2
Exploiting Cultural Biases via Homoglyphs in Text-to-Image Synthesis
Paper • 2209.08891 • Published • 2
Class Attribute Inference Attacks: Inferring Sensitive Class Information by Diffusion-Based Attribute Manipulations
Paper • 2303.09289 • Published • 2
SEGA: Instructing Diffusion using Semantic Dimensions
Paper • 2301.12247 • Published • 6
Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness
Paper • 2302.10893 • Published • 6