Search Results for author: Andreas Müller

Found 8 papers, 5 papers with code

The Impact of Uniform Inputs on Activation Sparsity and Energy-Latency Attacks in Computer Vision

1 code implementation27 Mar 2024 Andreas Müller, Erwin Quiring

We empirically examine our findings in a comprehensive evaluation with multiple image classification models and show that our attack achieves the same sparsity effect as prior sponge-example methods, but at a fraction of computation effort.

Image Classification

MotherNet: A Foundational Hypernetwork for Tabular Classification

no code implementations14 Dec 2023 Andreas Müller, Carlo Curino, Raghu Ramakrishnan

In contrast to existing hypernetworks that were either task-specific or trained for relatively constraint multi-task settings, MotherNet is trained to generate networks to perform multiclass classification on arbitrary tabular datasets without any dataset specific gradient descent.

Classification In-Context Learning +2

On the Detection of Image-Scaling Attacks in Machine Learning

1 code implementation23 Oct 2023 Erwin Quiring, Andreas Müller, Konrad Rieck

Unfortunately, this preprocessing step is vulnerable to so-called image-scaling attacks where an attacker makes unnoticeable changes to an image so that it becomes a new image after scaling.

Detecting Spells in Fantasy Literature with a Transformer Based Artificial Intelligence

no code implementations7 Aug 2023 Marcel Moravek, Alexander Zender, Andreas Müller

For our studies a pre-trained BERT model was used and fine-tuned utilising different datasets and training methods to identify the searched context.

token-classification Token Classification

Organelle-specific segmentation, spatial analysis, and visualization of volume electron microscopy datasets

1 code implementation7 Mar 2023 Andreas Müller, Deborah Schmidt, Lucas Rieckert, Michele Solimena, Martin Weigert

In this protocol, we describe a practical and annotation-efficient pipeline for organelle-specific segmentation, spatial analysis, and visualization of large volume electron microscopy datasets using freely available, user-friendly software tools that can be run on a single standard workstation.


OpenML-Python: an extensible Python API for OpenML

1 code implementation6 Nov 2019 Matthias Feurer, Jan N. van Rijn, Arlind Kadra, Pieter Gijsbers, Neeratyoy Mallik, Sahithya Ravi, Andreas Müller, Joaquin Vanschoren, Frank Hutter

It also provides functionality to conduct machine learning experiments, upload the results to OpenML, and reproduce results which are stored on OpenML.

BIG-bench Machine Learning

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