Joel Frank

Joel Frank

Ruhr-Universität Bochum

H-index: 6

Europe-Germany

About Joel Frank

Joel Frank, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Ruhr-Universität Bochum, specializes in the field of Computer Security, Machine Learning, Generative Models, Adversarial Machine Learning.

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

Dompteur: Taming Audio Adversarial Examples

Efficient Calculation of Adversarial Examples for Bayesian Neural Networks

WaveFake: A Data Set to Facilitate Audio Deepfake Detection

[RE] CNN-generated images are surprisingly easy to spot... for now

AURORA: Statistical Crash Analysis for Automated Root Cause Explanation

Leveraging Frequency Analysis for Deep Fake Image Recognition

EthBMC: A Bounded Model Checker for Smart Contracts

Joel Frank Information

University

Position

___

Citations(all)

647

Citations(since 2020)

637

Cited By

72

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

6

i10Index(since 2020)

6

Email

University Profile Page

Ruhr-Universität Bochum

Google Scholar

View Google Scholar Profile

Joel Frank Skills & Research Interests

Computer Security

Machine Learning

Generative Models

Adversarial Machine Learning

Top articles of Joel Frank

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

Dompteur: Taming Audio Adversarial Examples

USENIX Security Symposium

Thorsten Eisenhofer

Lea Schönherr

Joel Frank

Lars Speckemeier

Dorothea Kolossa

...

2021

Efficient Calculation of Adversarial Examples for Bayesian Neural Networks

Sina Däubener

Joel Frank

Thorsten Holz

Asja Fischer

2020/11/23

WaveFake: A Data Set to Facilitate Audio Deepfake Detection

Joel Frank

Lea Schönherr

2021/11/4

[RE] CNN-generated images are surprisingly easy to spot... for now

arXiv preprint arXiv:2104.02984

Joel Frank

Thorsten Holz

2021/4/7

AURORA: Statistical Crash Analysis for Automated Root Cause Explanation

Tim Blazytko

Moritz Schlögel

Cornelius Aschermann

Ali Abbasi

Joel Frank

...

2020/8/12

Leveraging Frequency Analysis for Deep Fake Image Recognition

Joel Frank

Thorsten Eisenhofer

Lea Schönherr

Asja Fischer

Dorothea Kolossa

...

2020

EthBMC: A Bounded Model Checker for Smart Contracts

Joel Frank

Cornelius Aschermann

Thorsten Holz

2020/8/12

See List of Professors in Joel Frank University(Ruhr-Universität Bochum)

Co-Authors

H-index: 75
Thorsten Holz

Thorsten Holz

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
Lea Schönherr

Lea Schönherr

Ruhr-Universität Bochum

H-index: 8
Thorsten Eisenhofer

Thorsten Eisenhofer

Ruhr-Universität Bochum

H-index: 6
Sina Däubener

Sina Däubener

Ruhr-Universität Bochum

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