Lea Schönherr

Lea Schönherr

Ruhr-Universität Bochum

H-index: 10

Europe-Germany

About Lea Schönherr

Lea Schönherr, With an exceptional h-index of 10 and a recent h-index of 9 (since 2020), a distinguished researcher at Ruhr-Universität Bochum, specializes in the field of Computer Security, Machine Learning, Speech Recognition, Signal Processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Representative Study on Human Detection of Artificially Generated Media Across Countries

Whispers in the Machine: Confidentiality in LLM-integrated Systems

-zero: Gradient-based Optimization of -norm Adversarial Examples

Conning the Crypto Conman: End-to-End Analysis of Cryptocurrency-based Technical Support Scams

Llm-deliberation: Evaluating llms with interactive multi-agent negotiation games

Drone Security and the Mysterious Case of DJI's DroneID.

On the Limitations of Model Stealing with Uncertainty Quantification Models

VENOMAVE: Clean-label poisoning against speech recognition

Lea Schönherr Information

University

Position

___

Citations(all)

942

Citations(since 2020)

936

Cited By

162

hIndex(all)

10

hIndex(since 2020)

9

i10Index(all)

10

i10Index(since 2020)

9

Email

University Profile Page

Ruhr-Universität Bochum

Google Scholar

View Google Scholar Profile

Lea Schönherr Skills & Research Interests

Computer Security

Machine Learning

Speech Recognition

Signal Processing

Top articles of Lea Schönherr

Title

Journal

Author(s)

Publication Date

A Representative Study on Human Detection of Artificially Generated Media Across Countries

Joel Frank

Franziska Herbert

Jonas Ricker

Lea Schönherr

Thorsten Eisenhofer

...

2024

Whispers in the Machine: Confidentiality in LLM-integrated Systems

Computing Research Repository (CoRR)

Jonathan Evertz

Merlin Chlosta

Lea Schönherr

Thorsten Eisenhofer

2024/2/10

-zero: Gradient-based Optimization of -norm Adversarial Examples

arXiv preprint arXiv:2402.01879

Antonio Emanuele Cinà

Francesco Villani

Maura Pintor

Lea Schönherr

Battista Biggio

...

2024/2/2

Conning the Crypto Conman: End-to-End Analysis of Cryptocurrency-based Technical Support Scams

Bhupendra Acharya

Muhammad Saad

Antonio Emanuele Cinà

Lea Schönherr

Hoang Dai Nguyen

...

2024/5/20

Llm-deliberation: Evaluating llms with interactive multi-agent negotiation games

arXiv preprint arXiv:2309.17234

Sahar Abdelnabi

Amr Gomaa

Sarath Sivaprasad

Lea Schönherr

Mario Fritz

2023/9/29

Drone Security and the Mysterious Case of DJI's DroneID.

Nico Schiller

Merlin Chlosta

Moritz Schloegel

Nils Bars

Thorsten Eisenhofer

...

2023/2/27

On the Limitations of Model Stealing with Uncertainty Quantification Models

European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN)

David Pape

Sina Däubener

Thorsten Eisenhofer

Antonio Emanuele Cinà

Lea Schönherr

2023

VENOMAVE: Clean-label poisoning against speech recognition

Computing Research Repository (CoRR), abs/2010.10682

Hojjat Aghakhani

Thorsten Eisenhofer

Lea Schönherr

Dorothea Kolossa

Thorsten Holz

...

2020

Exploring accidental triggers of smart speakers

Computer Speech & Language (CSL)

Lea Schönherr

Maximilian Golla

Thorsten Eisenhofer

Jan Wiele

Dorothea Kolossa

...

2022

Clustering-based Wake Word Detection in Privacy-aware Acoustic Sensor Networks

Timm Koppelmann

Luca Becker

Alexandru Nelus

Rene Glitza

Lea Schönherr

...

2022

Privacy-Preserving Feature Extraction for Cloud-Based Wake Word Verification

Timm Koppelmann

Alexandru Nelus

Lea Schönherr

Dorothea Kolossa

Rainer Martin

2021

Adversarially robust speech and speaker recognition

Lea Schönherr

2021/11/16

WaveFake: a data set to facilitate audio deepfake detection

Joel Frank

Lea Schönherr

2021/11/4

Dompteur: Taming Audio Adversarial Examples

USENIX Security Symposium

Thorsten Eisenhofer

Lea Schönherr

Joel Frank

Lars Speckemeier

Dorothea Kolossa

...

2021

Imperio: Robust Over-the-Air Adversarial Examples for Automatic Speech Recognition Systems

Lea Schönherr

Thorsten Eisenhofer

Steffen Zeiler

Thorsten Holz

Dorothea Kolossa

2020

Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification

arXiv preprint arXiv:2005.14611

Sina Däubener

Lea Schönherr

Asja Fischer

Dorothea Kolossa

2020/5/24

Loss Functions for Deep Monaural Speech Enhancement

Jan Freiwald

Lea Schönherr

Christopher Schymura

Steffen Zeiler

Dorothea Kolossa

2020/7/19

Leveraging Frequency Analysis for Deep Fake Image Recognition

Joel Frank

Thorsten Eisenhofer

Lea Schönherr

Asja Fischer

Dorothea Kolossa

...

2020

See List of Professors in Lea Schönherr University(Ruhr-Universität Bochum)

Co-Authors

H-index: 115
Christopher Kruegel

Christopher Kruegel

University of California, Santa Barbara

H-index: 75
Thorsten Holz

Thorsten Holz

Ruhr-Universität Bochum

H-index: 39
Rainer Martin

Rainer Martin

Ruhr-Universität Bochum

H-index: 28
Dorothea Kolossa

Dorothea Kolossa

Ruhr-Universität Bochum

H-index: 28
Asja Fischer

Asja Fischer

Ruhr-Universität Bochum

H-index: 10
Katharina Kohls

Katharina Kohls

Radboud Universiteit

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