Konstantin Böttinger
Publications by Year
Research Areas
Adversarial Robustness in Machine Learning, Anomaly Detection Techniques and Applications, Advanced Malware Detection Techniques, Network Security and Intrusion Detection, Speech Recognition and Synthesis
Most-Cited Works
- → Stack Overflow Considered Harmful? The Impact of Copy&Paste on Android Application Security(2017)241 cited
- → Does Audio Deepfake Detection Generalize?(2022)170 cited
- → High-Performance Unsupervised Anomaly Detection for Cyber-Physical System Networks(2018)84 cited
- → MLAAD: The Multi-Language Audio Anti-Spoofing Dataset(2024)47 cited
- → DeepFuzz: Triggering Vulnerabilities Deeply Hidden in Binaries(2016)25 cited
- Stack Overflow Considered Helpful! Deep Learning Security Nudges Towards Stronger Cryptography(2019)
- AntiFuzz: Impeding Fuzzing Audits of Binary Executables(2019)
- → On GDPR Compliance of Companies’ Privacy Policies(2019)17 cited
- → A Unified Architecture for Industrial IoT Security Requirements in Open Platform Communications(2019)15 cited