Konrad Rieck

Konrad Rieck

Technische Universität Braunschweig

H-index: 47

Europe-Germany

About Konrad Rieck

Konrad Rieck, With an exceptional h-index of 47 and a recent h-index of 38 (since 2020), a distinguished researcher at Technische Universität Braunschweig, specializes in the field of Computer Security, Machine Learning.

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

Manipulating Feature Visualizations with Gradient Slingshots

On the Role of Pre-trained Embeddings in Binary Code Analysis

Lessons Learned on Machine Learning for Computer Security

PAVUDI: Patch-based Vulnerability Discovery using Machine Learning

Improving malware detection with explainable machine learning

CodeGraphSMOTE-data augmentation for vulnerability discovery

When Papers Choose Their Reviewers: Adversarial Machine Learning in Peer Review

Security of Machine Learning (Dagstuhl Seminar 22281)

Konrad Rieck Information

University

Position

Professor of Computer Science

Citations(all)

13184

Citations(since 2020)

7587

Cited By

8525

hIndex(all)

47

hIndex(since 2020)

38

i10Index(all)

80

i10Index(since 2020)

66

Email

University Profile Page

Technische Universität Braunschweig

Google Scholar

View Google Scholar Profile

Konrad Rieck Skills & Research Interests

Computer Security

Machine Learning

Top articles of Konrad Rieck

Title

Journal

Author(s)

Publication Date

Manipulating Feature Visualizations with Gradient Slingshots

arXiv preprint arXiv:2401.06122

Dilyara Bareeva

Marina M-C Höhne

Alexander Warnecke

Lukas Pirch

Klaus-Robert Müller

...

2024/1/11

On the Role of Pre-trained Embeddings in Binary Code Analysis

Alwin Maier

Felix Weißberg

Konrad Rieck

2023

Lessons Learned on Machine Learning for Computer Security

IEEE Security & Privacy

Daniel Arp

Erwin Quiring

Feargus Pendlebury

Alexander Warnecke

Fabio Pierazzi

...

2023/9/6

PAVUDI: Patch-based Vulnerability Discovery using Machine Learning

Tom Ganz

Erik Imgrund

Martin Härterich

Konrad Rieck

2023/12/4

Improving malware detection with explainable machine learning

Michele Scalas

Konrad Rieck

Giorgio Giacinto

2023/1/1

CodeGraphSMOTE-data augmentation for vulnerability discovery

Tom Ganz

Erik Imgrund

Martin Härterich

Konrad Rieck

2023/7/12

When Papers Choose Their Reviewers: Adversarial Machine Learning in Peer Review

Konrad Rieck

VISP Distinguished Lecture

2023/11/30

Security of Machine Learning (Dagstuhl Seminar 22281)

Battista Biggio

Nicholas Carlini

Pavel Laskov

Konrad Rieck

Antonio Emanuele Cinà

2023

Hunting for Truth: Analyzing Explanation Methods in Learning-based Vulnerability Discovery

Tom Ganz

Philipp Rall

Martin Härterich

Konrad Rieck

2023/7/3

Broken Promises: Measuring Confounding Effects in Learning-based Vulnerability Discovery

Erik Imgrund

Tom Ganz

Martin Härterich

Lukas Pirch

Niklas Risse

...

2023/11/30

Detecting Backdoors in Collaboration Graphs of Software Repositories

Tom Ganz

Inaam Ashraf

Martin Härterich

Konrad Rieck

2023/4/24

Lazy Gatekeepers: A Large-Scale Study on SPF Configuration in the Wild

Stefan Czybik

Micha Horlboge

Konrad Rieck

2023/10/24

Evil from Within: Machine Learning Backdoors through Hardware Trojans

arXiv preprint arXiv:2304.08411

Alexander Warnecke

Julian Speith

Jan-Niklas Möller

Konrad Rieck

Christof Paar

2023/4/17

On the detection of image-scaling attacks in machine learning

Erwin Quiring

Andreas Müller

Konrad Rieck

2023/12/4

Learning Type Inference for Enhanced Dataflow Analysis

Lukas Seidel

Sedick David Baker Effendi

Xavier Pinho

Konrad Rieck

Brink van der Merwe

...

2023/9/25

Quantifying the Risk of Wormhole Attacks on Bluetooth Contact Tracing

Stefan Czybik

Daniel Arp

Konrad Rieck

2022/4/14

Dos and don'ts of machine learning in computer security

Daniel Arp

Erwin Quiring

Feargus Pendlebury

Alexander Warnecke

Fabio Pierazzi

...

2022

I still know it's you! On Challenges in Anonymizing Source Code

arXiv preprint arXiv:2208.12553

Micha Horlboge

Erwin Quiring

Roland Meyer

Konrad Rieck

2022/8/26

Misleading deep-fake detection with GAN fingerprints

Vera Wesselkamp

Konrad Rieck

Daniel Arp

Erwin Quiring

2022/5/22

Spying through virtual backgrounds of video calls

Jan Malte Hilgefort

Daniel Arp

Konrad Rieck

2021/11/15

See List of Professors in Konrad Rieck University(Technische Universität Braunschweig)

Co-Authors

H-index: 156
Klaus-Robert Müller

Klaus-Robert Müller

Technische Universität Berlin

H-index: 75
Thorsten Holz

Thorsten Holz

Ruhr-Universität Bochum

H-index: 53
Giorgio Giacinto

Giorgio Giacinto

Università degli Studi di Cagliari

H-index: 47
Battista Biggio

Battista Biggio

Università degli Studi di Cagliari

H-index: 40
Felix Freiling

Felix Freiling

Friedrich-Alexander-Universität Erlangen-Nürnberg

H-index: 39
Marius Kloft

Marius Kloft

Technische Universität Kaiserslautern

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