Konstantin Böttinger

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 61

Top Venues

CoRR

IEEE Symposium on Security and Privacy Workshops

INTERSPEECH

ESORICS (1)

Technical University of Munich, Germany (PHD)

Education History

Technical University of Munich, Germany

PHD

Publications

Nicolas M. Müller, Nicholas W. D. Evans, Hemlata Tak, Philip Sperl, Konstantin Böttinger
Harder or Different? Understanding Generalization of Audio Deepfake Detection. CoRR (2024)
Nicolas M. Müller, Piotr Kawa, Shen Hu, Matthias Neu, Jennifer Williams, Philip Sperl, Konstantin Böttinger
A New Approach to Voice Authenticity. CoRR (2024)
Nicolas M. Müller, Piotr Kawa, Wei Herng Choong, Edresson Casanova, Eren Gölge, Thorsten Müller, Piotr Syga, Philip Sperl, Konstantin Böttinger
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset. CoRR (2024)
Daniel Kowatsch, Nicolas M. Müller, Kilian Tscharke, Philip Sperl, Konstantin Böttinger
Imbalance in Regression Datasets. CoRR (2024)
Nicolas M. Müller, Maximilian Burgert, Pascal Debus, Jennifer Williams, Philip Sperl, Konstantin Böttinger
Protecting Publicly Available Data With Machine Learning Shortcuts. CoRR (2023)
Nicolas M. Müller, Philip Sperl, Konstantin Böttinger
Complex-valued neural networks for voice anti-spoofing. CoRR (2023)
Nicolas M. Müller, Maximilian Burgert, Pascal Debus, Jennifer Williams, Philip Sperl, Konstantin Böttinger
Protecting Publicly Available Data With Machine Learning Shortcuts. BMVC (2023)
Ana Radutoiu, Jan-Philipp Schulze, Philip Sperl, Konstantin Böttinger
Physical Adversarial Examples for Multi-Camera Systems. CoRR (2023)
Nicolas M. Müller, Philip Sperl, Konstantin Böttinger
Complex-valued neural networks for voice anti-spoofing. INTERSPEECH (2023)
Karla Pizzi, Franziska Boenisch, Ugur Sahin, Konstantin Böttinger
Introducing Model Inversion Attacks on Automatic Speaker Recognition. CoRR (2023)
Nicolas M. Müller, Simon Roschmann, Shahbaz Khan, Philip Sperl, Konstantin Böttinger
Shortcut Detection with Variational Autoencoders. CoRR (2023)
Nicolas M. Müller, Jochen Jacobs, Jennifer Williams, Konstantin Böttinger
Localized Shortcut Removal. CVPR Workshops (2023)
Jan-Philipp Schulze, Philip Sperl, Konstantin Böttinger
Double-Adversarial Activation Anomaly Detection: Adversarial Autoencoders are Anomaly Generators. IJCNN (2022)
Paul Andrei Sava, Jan-Philipp Schulze, Philip Sperl, Konstantin Böttinger
Assessing the Impact of Transformations on Physical Adversarial Attacks. AISec@CCS (2022)
Nicolas M. Müller, Pavel Czempin, Franziska Dieckmann, Adam Froghyar, Konstantin Böttinger
Does Audio Deepfake Detection Generalize? INTERSPEECH (2022)
Jan-Philipp Schulze, Philip Sperl, Ana Radutoiu, Carla Sagebiel, Konstantin Böttinger
R2-AD2: Detecting Anomalies by Analysing the Raw Gradient. ECML/PKDD (1) (2022)
Jan-Philipp Schulze, Philip Sperl, Ana Radutoiu, Carla Sagebiel, Konstantin Böttinger
R2-AD2: Detecting Anomalies by Analysing the Raw Gradient. CoRR (2022)
Nicolas M. Müller, Pavel Czempin, Franziska Dieckmann, Adam Froghyar, Konstantin Böttinger
Does Audio Deepfake Detection Generalize? CoRR (2022)
Ching-Yu Kao, Junhao Chen, Karla Markert, Konstantin Böttinger
Rectifying adversarial inputs using XAI techniques. EUSIPCO (2022)
Karla Markert, Donika Mirdita, Konstantin Böttinger
Language Dependencies in Adversarial Attacks on Speech Recognition Systems. CoRR (2022)
Karla Markert, Romain Parracone, Mykhailo Kulakov, Philip Sperl, Ching-Yu Kao, Konstantin Böttinger
Visualizing Automatic Speech Recognition - Means for a Better Understanding? CoRR (2022)
Jan-Philipp Schulze, Philip Sperl, Konstantin Böttinger
Anomaly Detection by Recombining Gated Unsupervised Experts. IJCNN (2022)
Nicolas M. Müller, Jochen Jacobs, Jennifer Williams, Konstantin Böttinger
Shortcut Removal for Improved OOD-Generalization. CoRR (2022)
Ching-Yu Kao, Hongjia Wan, Karla Markert, Konstantin Böttinger
Real or Fake? A Practical Method for Detecting Tempered Images. IPAS (2022)
Nicolas M. Müller, Simon Roschmann, Konstantin Böttinger
Defending against Adversarial Denial-of-Service Attacks. CoRR (2021)
Jan-Philipp Schulze, Philip Sperl, Konstantin Böttinger
DA3G: Detecting Adversarial Attacks by Analysing Gradients. ESORICS (1) (2021)
Nicolas M. Müller, Franziska Dieckmann, Pavel Czempin, Roman Canals, Konstantin Böttinger
Speech is Silver, Silence is Golden: What do ASVspoof-trained Models Really Learn? CoRR (2021)
Pascal Debus, Nicolas M. Müller, Konstantin Böttinger
Deep Reinforcement Learning for Backup Strategies against Adversaries. CoRR (2021)
Nicolas M. Müller, Konstantin Böttinger
Adversarial Vulnerability of Active Transfer Learning. CoRR (2021)
Franziska Boenisch, Philip Sperl, Konstantin Böttinger
Gradient Masking and the Underestimated Robustness Threats of Differential Privacy in Deep Learning. CoRR (2021)
Karla Markert, Konstantin Böttinger
Robuste Lernverfahren. Datenschutz und Datensicherheit 45 (7) (2021)
Nicolas M. Müller, Karla Markert, Konstantin Böttinger
Human Perception of Audio Deepfakes. CoRR (2021)
Nicolas M. Müller, Konstantin Böttinger
Adversarial Vulnerability of Active Transfer Learning. IDA (2021)
J.-P. Schulze, Philip Sperl, Konstantin Böttinger
Double-Adversarial Activation Anomaly Detection: Adversarial Autoencoders are Anomaly Generators. CoRR (2021)
Philip Sperl, Jan-Philipp Schulze, Konstantin Böttinger
Activation Anomaly Analysis. ECML/PKDD (2) (2020)
Philip Sperl, Jan-Philipp Schulze, Konstantin Böttinger
: Activation Anomaly Analysis. CoRR (2020)
Tom Dörr, Karla Markert, Nicolas M. Müller, Konstantin Böttinger
Towards Resistant Audio Adversarial Examples. CoRR (2020)
Philip Sperl, Ching-Yu Kao, Peng Chen, Xiao Lei, Konstantin Böttinger
DLA: Dense-Layer-Analysis for Adversarial Example Detection. EuroS&P (2020)
Jan-Philipp Schulze, Philip Sperl, Konstantin Böttinger
Anomaly Detection by Recombining Gated Unsupervised Experts. CoRR (2020)
Philip Sperl, Konstantin Böttinger
Optimizing Information Loss Towards Robust Neural Networks. CoRR (2020)
Nicolas M. Müller, Daniel Kowatsch, Konstantin Böttinger
Data Poisoning Attacks on Regression Learning and Corresponding Defenses. PRDC (2020)
Nicolas Michael Müller, Daniel Kowatsch, Konstantin Böttinger
Data Poisoning Attacks on Regression Learning and Corresponding Defenses. CoRR (2020)
Philip Sperl, Konstantin Böttinger
Side-Channel Aware Fuzzing. CoRR (2019)
Felix Fischer, Huang Xiao, Ching-yu Kao, Yannick Stachelscheid, Benjamin Johnson, Danial Razar, Paul Fawkesley, Nat Buckley, Konstantin Böttinger, Paul Muntean, Jens Grossklags
Stack Overflow Considered Helpful! Deep Learning Security Nudges Towards Stronger Cryptography. USENIX Security Symposium (2019)
Philip Sperl, Konstantin Böttinger
Side-Channel Aware Fuzzing. ESORICS (1) (2019)
Nicolas M. Müller, Daniel Kowatsch, Pascal Debus, Donika Mirdita, Konstantin Böttinger
On GDPR Compliance of Companies' Privacy Policies. TSD (2019)
Philip Sperl, Ching-yu Kao, Peng Chen, Konstantin Böttinger
DLA: Dense-Layer-Analysis for Adversarial Example Detection. CoRR (2019)
Nicolas M. Müller, Pascal Debus, Daniel Kowatsch, Konstantin Böttinger
Distributed Anomaly Detection of Single Mote Attacks in RPL Networks. ICETE (2) (2019)
Jan-Philipp Schulze, Artur Mrowca, Elizabeth Ren, Hans-Andrea Loeliger, Konstantin Böttinger
Context by Proxy: Identifying Contextual Anomalies Using an Output Proxy. KDD (2019)
Gerhard Hansch, Peter Schneider, Kai Fischer, Konstantin Böttinger
A Unified Architecture for Industrial IoT Security Requirements in Open Platform Communications. ETFA (2019)
Konstantin Böttinger, Patrice Godefroid, Rishabh Singh
Deep Reinforcement Fuzzing. CoRR (2018)
Peter Schneider, Konstantin Böttinger
High-Performance Unsupervised Anomaly Detection for Cyber-Physical System Networks. CPS-SPC@CCS (2018)
Konstantin Böttinger, Patrice Godefroid, Rishabh Singh
Deep Reinforcement Fuzzing. IEEE Symposium on Security and Privacy Workshops (2018)
Giuseppe Settanni, Florian Skopik, Yegor Shovgenya, Roman Fiedler, Mark Carolan, Damien Conroy, Konstantin Böttinger, Mark Gall, Gerd Brost, Christophe Ponchel, Mirko Haustein, Helmut Kaufmann, Klaus Theuerkauf, Pia Olli
A collaborative cyber incident management system for European interconnected critical infrastructures. J. Inf. Secur. Appl. 34 (2017)
Konstantin Böttinger
Guiding a Colony of Black-Box Fuzzers with Chemotaxis. IEEE Symposium on Security and Privacy Workshops (2017)
Felix Fischer, Konstantin Böttinger, Huang Xiao, Christian Stransky, Yasemin Acar, Michael Backes, Sascha Fahl
Stack Overflow Considered Harmful? The Impact of Copy&Paste on Android Application Security. CoRR (2017)
Felix Fischer, Konstantin Böttinger, Huang Xiao, Christian Stransky, Yasemin Acar, Michael Backes, Sascha Fahl
Stack Overflow Considered Harmful? The Impact of Copy&Paste on Android Application Security. IEEE Symposium on Security and Privacy (2017)
Konstantin Böttinger
Fuzzing binaries with Lévy flight swarms. EURASIP J. Inf. Secur. 2016 (2016)
Konstantin Böttinger
Hunting Bugs with Lévy Flight Foraging. IEEE Symposium on Security and Privacy Workshops (2016)
Konstantin Böttinger
Chemotactic Test Case Recombinationfor Large-Scale Fuzzing. J. Cyber Secur. Mobil. 5 (4) (2016)
Konstantin Böttinger, Claudia Eckert
DeepFuzz: Triggering Vulnerabilities Deeply Hidden in Binaries - (Extended Abstract). DIMVA (2016)
Giuseppe Settanni, Florian Skopik, Helmut Kaufmann, Tobias Gebhardt, Klaus Theuerkauf, Konstantin Böttinger, Mark Carolan, Damien Conroy, Pia Olli
A Blueprint for a Pan-European Cyber Incident Analysis System. ICS-CSR (2015)
Konstantin Böttinger, Dieter Schuster, Claudia Eckert
Detecting Fingerprinted Data in TLS Traffic. AsiaCCS (2015)
Julian Horsch, Konstantin Böttinger, Michael Weiß, Sascha Wessel, Frederic Stumpf
TrustID: trustworthy identities for untrusted mobile devices. CODASPY (2014)
Daniel Angermeier, Konstantin Böttinger, Andreas Ibing, Dieter Schuster, Frederic Stumpf, Dirk Wacker
A Secure Architecture for Smart Meter Systems. CSS (2012)

Konstantin Böttinger.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Konstantin Böttinger