activity
20162020
most citedUnacceptable, where is my privacy? Exploring Accidental Triggers of Smart Speakers

16 citations · 29 across the 8 of their papers we have counts for

collaborators

12 papers

cs.CL20205 cited

Deep Bayes Factor Scoring for Authorship Verification

Benedikt Boenninghoff, Julian Rupp, Robert M. Nickel +1

The PAN 2020 authorship verification (AV) challenge focuses on a cross-topic/closed-set AV task over a collection of fanfiction texts. Fanfiction is a fan-written extension of a st…

cs.CR202016 cited

Unacceptable, where is my privacy? Exploring Accidental Triggers of Smart Speakers

Lea Schönherr, Maximilian Golla, Thorsten Eisenhofer +3

Voice assistants like Amazon's Alexa, Google's Assistant, or Apple's Siri, have become the primary (voice) interface in smart speakers that can be found in millions of households.…

eess.AS20205 cited

Multimodal Integration for Large-Vocabulary Audio-Visual Speech Recognition

Wentao Yu, Steffen Zeiler, Dorothea Kolossa

For many small- and medium-vocabulary tasks, audio-visual speech recognition can significantly improve the recognition rates compared to audio-only systems. However, there is still…

cs.LG2020

Variational Autoencoder with Embedded Student- Mixture Model for Authorship Attribution

Benedikt Boenninghoff, Steffen Zeiler, Robert M. Nickel +1

Traditional computational authorship attribution describes a classification task in a closed-set scenario. Given a finite set of candidate authors and corresponding labeled texts,…

eess.AS2020

Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification

Sina Däubener, Lea Schönherr, Asja Fischer +1

Machine learning systems and also, specifically, automatic speech recognition (ASR) systems are vulnerable against adversarial attacks, where an attacker maliciously changes the in…

cs.CV2020

Leveraging Frequency Analysis for Deep Fake Image Recognition

Joel Frank, Thorsten Eisenhofer, Lea Schönherr +3

Deep neural networks can generate images that are astonishingly realistic, so much so that it is often hard for humans to distinguish them from actual photos. These achievements ha…