SprintML

@SprintML

The SprintML lab does research on Secure, Private, Robust, INterpretable, and Trustworthy ML @CISPA. We are currently hiring PhDs! Visit us: sprintml.com

Saarbrücken

sprintml.com

Joined May 2023

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SprintML
@SprintML
Apr 16, 2025
Today @fraboeni and @adam_dziedzic kicked off the new semester with a full lecture hall. 👩‍🎓If you also want to learn about #Trustworthy #MachineLearning, we invite you to follow our lecture online: youtube.com/playlist?list=…! #teaching #university #students #semester
SprintML
@SprintML
Feb 17, 2025
Very interesting insights: Image AutoRegressive Models might be better and faster than Diffusion models BUT they leak more #privacy! If you want to learn more about these trade-offs, check out our latest insights!
Jan Dubiński
@jan_dubinski_
Feb 5, 2025
🚨 Image AutoRegressive Models Leak More Training Data Than Diffusion Models🚨 IARs — like the #NeurIPS2024 Best Paper — now lead in AI image generation. But at what risk? IARs: 🔍 Are more likely than DMs to reveal training data 🖼️ Leak entire training images verbatim 🧵 1/
SprintML
@SprintML
Feb 17, 2025
A truly great outcome for a summer internship in our SprintML lab. If you are interested in working on these kinds of cool projects with us this summer, please apply: 🖇️ sprintml.com/positions/
Bartosz Cywinski
@bartoszcyw
Feb 17, 2025
🔥 New ICLR 2025 Paper! It would be cool to control the content of text generated by diffusion models with less than 1% of parameters, right? And how about doing it across diverse architectures and within various applications? 🚀 🫡 Together with @lukxst, we show how: 🧵 1/
GIF
SprintML
@SprintML
Jul 11, 2024
Have you ever wondered how you can train an #ML #model with #privacy guarantees? In our lecture on #DifferentiallyPrivate ML, we cover the two canonical algorithms: #DPSGD and the #PATE. We discuss principles, privacy analysis and accounting, and effects: youtube.com/watch?v=0wbN0C…
SprintML
@SprintML
Jun 19, 2024
Did you know that the predictions of an #ML model can give away #private information of the model’s training data? We cover the problem of #privacy leakage in our new lecture on #trustworthy ML and introduce you to #DifferentialPrivacy: youtube.com/watch?v=Jpc-i4…