A Secure Architecture for Smart Meter Systems. - Daniel Angermeier; Konstantin Böttinger; Andreas Ibing; Dieter Schuster; Frederic Stumpf; Dirk Wacker (CSS, 2012)

TrustID: trustworthy identities for untrusted mobile devices. - Julian Horsch; Konstantin Böttinger; Michael Weiß; Sascha Wessel; Frederic Stumpf (CODASPY, 2014)

Detecting Fingerprinted Data in TLS Traffic. - Konstantin Böttinger; Dieter Schuster; Claudia Eckert 001 (AsiaCCS, 2015)

A Blueprint for a Pan-European Cyber Incident Analysis System. - Giuseppe Settanni; Florian Skopik; Helmut Kaufmann; Tobias Gebhardt; Klaus Theuerkauf; Konstantin Böttinger; Mark Carolan; Damien Conroy; Pia Olli (ICS-CSR, 2015)

DeepFuzz: Triggering Vulnerabilities Deeply Hidden in Binaries - (Extended Abstract). - Konstantin Böttinger; Claudia Eckert 001 (DIMVA, 2016)

Hunting Bugs with Lévy Flight Foraging. - Konstantin Böttinger (IEEE Symposium on Security and Privacy Workshops, 2016)

Fuzzing binaries with Lévy flight swarms. - Konstantin Böttinger (EURASIP J. Inf. Secur., 2016)

Chemotactic Test Case Recombinationfor Large-Scale Fuzzing. - Konstantin Böttinger (J. Cyber Secur. Mobil., 2016)

Guiding a Colony of Black-Box Fuzzers with Chemotaxis. - Konstantin Böttinger (IEEE Symposium on Security and Privacy Workshops, 2017)

Stack Overflow Considered Harmful? The Impact of Copy&Paste on Android Application Security. - Felix Fischer 001; Konstantin Böttinger; Huang Xiao; Christian Stransky; Yasemin Acar; Michael Backes 001; Sascha Fahl (IEEE Symposium on Security and Privacy, 2017)

A collaborative cyber incident management system for European interconnected critical infrastructures. - Giuseppe Settanni; Florian Skopik; Yegor Shovgenya; Roman Fiedler; Mark Carolan; Damien Conroy; Konstantin Böttinger; Mark Gall; Gerd Brost; Christophe Ponchel; Mirko Haustein; Helmut Kaufmann; et al. (J. Inf. Secur. Appl., 2017)

High-Performance Unsupervised Anomaly Detection for Cyber-Physical System Networks. - Peter Schneider 002; Konstantin Böttinger (CPS-SPC@CCS, 2018)

Deep Reinforcement Fuzzing. - Konstantin Böttinger; Patrice Godefroid; Rishabh Singh (IEEE Symposium on Security and Privacy Workshops, 2018)

Side-Channel Aware Fuzzing. - Philip Sperl; Konstantin Böttinger (ESORICS (1), 2019)

A Unified Architecture for Industrial IoT Security Requirements in Open Platform Communications. - Gerhard Hansch; Peter Schneider 002; Kai Fischer; Konstantin Böttinger (ETFA, 2019)

Distributed Anomaly Detection of Single Mote Attacks in RPL Networks. - Nicolas M. Müller; Pascal Debus; Daniel Kowatsch; Konstantin Böttinger (ICETE (2), 2019)

Context by Proxy: Identifying Contextual Anomalies Using an Output Proxy. - Jan-Philipp Schulze; Artur Mrowca; Elizabeth Ren; Hans-Andrea Loeliger; Konstantin Böttinger (KDD, 2019)

On GDPR Compliance of Companies' Privacy Policies. - Nicolas M. Müller; Daniel Kowatsch; Pascal Debus; Donika Mirdita; Konstantin Böttinger (TSD, 2019)

Stack Overflow Considered Helpful! Deep Learning Security Nudges Towards Stronger Cryptography. - Felix Fischer 001; Huang Xiao; Ching-yu Kao; Yannick Stachelscheid; Benjamin Johnson 001; Danial Razar; Paul Fawkesley; Nat Buckley; Konstantin Böttinger; Paul Muntean 001; Jens Grossklags (USENIX Security Symposium, 2019)

DLA: Dense-Layer-Analysis for Adversarial Example Detection. - Philip Sperl; Ching-yu Kao; Peng Chen; Konstantin Böttinger (CoRR, 2019)

Fuzzing with Stochastic Feedback Processes. - Konstantin Böttinger (2019)

DLA: Dense-Layer-Analysis for Adversarial Example Detection. - Philip Sperl; Ching-Yu Kao; Peng Chen; Xiao Lei; Konstantin Böttinger (EuroS&P, 2020)

Activation Anomaly Analysis. - Philip Sperl; Jan-Philipp Schulze; Konstantin Böttinger (ECML/PKDD (2), 2020)

Data Poisoning Attacks on Regression Learning and Corresponding Defenses. - Nicolas M. Müller; Daniel Kowatsch; Konstantin Böttinger (PRDC, 2020)

A3: Activation Anomaly Analysis. - Philip Sperl; Jan-Philipp Schulze; Konstantin Böttinger (CoRR, 2020)

Optimizing Information Loss Towards Robust Neural Networks. - Philip Sperl; Konstantin Böttinger (CoRR, 2020)

Towards Resistant Audio Adversarial Examples. - Tom Dörr; Karla Markert; Nicolas M. Müller; Konstantin Böttinger (CoRR, 2020)

DA3G: Detecting Adversarial Attacks by Analysing Gradients. - Jan-Philipp Schulze; Philip Sperl; Konstantin Böttinger (ESORICS (1), 2021)

Adversarial Vulnerability of Active Transfer Learning. - Nicolas M. Müller; Konstantin Böttinger (IDA, 2021)

Deep Reinforcement Learning for Backup Strategies against Adversaries. - Pascal Debus; Nicolas M. Müller; Konstantin Böttinger (CoRR, 2021)

Defending against Adversarial Denial-of-Service Attacks. - Nicolas M. Müller; Simon Roschmann; Konstantin Böttinger (CoRR, 2021)

Gradient Masking and the Underestimated Robustness Threats of Differential Privacy in Deep Learning. - Franziska Boenisch; Philip Sperl; Konstantin Böttinger (CoRR, 2021)

Speech is Silver, Silence is Golden: What do ASVspoof-trained Models Really Learn? - Nicolas M. Müller; Franziska Dieckmann; Pavel Czempin; Roman Canals; Konstantin Böttinger (CoRR, 2021)

Human Perception of Audio Deepfakes. - Nicolas M. Müller; Karla Markert; Konstantin Böttinger (CoRR, 2021)

Robuste Lernverfahren. - Karla Markert; Konstantin Böttinger (Datenschutz und Datensicherheit, 2021)

Assessing the Impact of Transformations on Physical Adversarial Attacks. - Paul Andrei Sava; Jan-Philipp Schulze; Philip Sperl; Konstantin Böttinger (AISec@CCS, 2022)

Rectifying adversarial inputs using XAI techniques. - Ching-Yu Kao; Junhao Chen; Karla Markert; Konstantin Böttinger (EUSIPCO, 2022)

Anomaly Detection by Recombining Gated Unsupervised Experts. - Jan-Philipp Schulze; Philip Sperl; Konstantin Böttinger (IJCNN, 2022)

Double-Adversarial Activation Anomaly Detection: Adversarial Autoencoders are Anomaly Generators. - Jan-Philipp Schulze; Philip Sperl; Konstantin Böttinger (IJCNN, 2022)

Does Audio Deepfake Detection Generalize? - Nicolas M. Müller; Pavel Czempin; Franziska Dieckmann; Adam Froghyar; Konstantin Böttinger (INTERSPEECH, 2022)

Real or Fake? A Practical Method for Detecting Tempered Images. - Ching-Yu Kao; Hongjia Wan; Karla Markert; Konstantin Böttinger (IPAS, 2022)

R2-AD2: Detecting Anomalies by Analysing the Raw Gradient. - Jan-Philipp Schulze; Philip Sperl; Ana Radutoiu; Carla Sagebiel; Konstantin Böttinger (ECML/PKDD (1), 2022)

Language Dependencies in Adversarial Attacks on Speech Recognition Systems. - Karla Markert; Donika Mirdita; Konstantin Böttinger (CoRR, 2022)

Visualizing Automatic Speech Recognition - Means for a Better Understanding? - Karla Markert; Romain Parracone; Mykhailo Kulakov; Philip Sperl; Ching-Yu Kao; Konstantin Böttinger (CoRR, 2022)

Shortcut Removal for Improved OOD-Generalization. - Nicolas M. Müller; Jochen Jacobs; Jennifer Williams 001; Konstantin Böttinger (CoRR, 2022)

Protecting Publicly Available Data With Machine Learning Shortcuts. - Nicolas M. Müller; Maximilian Burgert; Pascal Debus; Jennifer Williams 001; Philip Sperl; Konstantin Böttinger (BMVC, 2023)

Localized Shortcut Removal. - Nicolas M. Müller; Jochen Jacobs; Jennifer Williams 001; Konstantin Böttinger (CVPR Workshops, 2023)

Complex-valued neural networks for voice anti-spoofing. - Nicolas M. Müller; Philip Sperl; Konstantin Böttinger (INTERSPEECH, 2023)

Introducing Model Inversion Attacks on Automatic Speaker Recognition. - Karla Pizzi; Franziska Boenisch; Ugur Sahin; Konstantin Böttinger (CoRR, 2023)

Physical Adversarial Examples for Multi-Camera Systems. - Ana Radutoiu; Jan-Philipp Schulze; Philip Sperl; Konstantin Böttinger (CoRR, 2023)

Near Real-Time Detection and Rectification of Adversarial Patches. - Ching-Yu Kao; Iheb Ghanmi; Houcemeddine Ben Ayed; Ayush Kumar; Konstantin Böttinger (FICC (2), 2024)

MLAAD: The Multi-Language Audio Anti-Spoofing Dataset. - Nicolas M. Müller; Piotr Kawa; Wei Herng Choong; Edresson Casanova; Eren Gölge; Thorsten Müller; Piotr Syga; Philip Sperl; Konstantin Böttinger (IJCNN, 2024)

Shortcut Detection With Variational Autoencoders. - Nicolas M. Müller; Simon Roschmann; Shahbaz Khan 009; Philip Sperl; Konstantin Böttinger (IJCNN, 2024)

Harder or Different? Understanding Generalization of Audio Deepfake Detection. - Nicolas M. Müller; Nicholas W. D. Evans; Hemlata Tak; Philip Sperl; Konstantin Böttinger (INTERSPEECH, 2024)

A New Approach to Voice Authenticity. - Nicolas M. Müller; Piotr Kawa; Shen Hu; Matthias Neu; Jennifer Williams 001; Philip Sperl; Konstantin Böttinger (INTERSPEECH, 2024)

Imbalance in Regression Datasets. - Daniel Kowatsch; Nicolas M. Müller; Kilian Tscharke; Philip Sperl; Konstantin Böttinger (CoRR, 2024)

Using LLMs to Identify Personal Data Processing in Source Code. - Immanuel Kunz; Ching-Yu Kao; Daniel Kowatsch; Jens Hiller; Julian Schütte; Dmitry Prokhorenkov; Konstantin Böttinger (SP (Workshops), 2025)

DeePen: Penetration Testing for Audio Deepfake Detection. - Nicolas M. Müller; Piotr Kawa; Adriana Stan; Thien-Phuc Doan; Souhwan Jung; Wei Herng Choong; Philip Sperl; Konstantin Böttinger (CoRR, 2025)

Societal Alignment Frameworks Can Improve LLM Alignment. - Karolina Stanczak; Nicholas Meade; Mehar Bhatia; Hattie Zhou; Konstantin Böttinger; Jeremy Barnes 002; Jason Stanley; Jessica Montgomery; Richard S. Zemel; Nicolas Papernot; Nicolas Chapados; Denis Therien; et al. (CoRR, 2025)