Sally: a tool for embedding strings in vector spaces. - Konrad Rieck; Christian Wressnegger; Alexander Bikadorov (J. Mach. Learn. Res., 2012)

A close look on n-grams in intrusion detection: anomaly detection vs. classification. - Christian Wressnegger; Guido Schwenk; Daniel Arp; Konrad Rieck (AISec, 2013)

Chucky: exposing missing checks in source code for vulnerability discovery. - Fabian Yamaguchi; Christian Wressnegger; Hugo Gascon; Konrad Rieck (CCS, 2013)

Deobfuscating Embedded Malware Using Probable-Plaintext Attacks. - Christian Wressnegger; Frank Boldewin; Konrad Rieck (RAID, 2013)

Poisoning behavioral malware clustering. - Battista Biggio; Konrad Rieck; Davide Ariu; Christian Wressnegger; Igino Corona; Giorgio Giacinto; Fabio Roli (AISec@CCS, 2014)

Pulsar: Stateful Black-Box Fuzzing of Proprietary Network Protocols. - Hugo Gascon; Christian Wressnegger; Fabian Yamaguchi; Daniel Arp; Konrad Rieck (SecureComm, 2015)

Twice the Bits, Twice the Trouble: Vulnerabilities Induced by Migrating to 64-Bit Platforms. - Christian Wressnegger; Fabian Yamaguchi; Alwin Maier; Konrad Rieck (CCS, 2016)

Comprehensive Analysis and Detection of Flash-Based Malware. - Christian Wressnegger; Fabian Yamaguchi; Daniel Arp; Konrad Rieck (DIMVA, 2016)

From Malware Signatures to Anti-Virus Assisted Attacks. - Christian Wressnegger; Kevin Freeman; Fabian Yamaguchi; Konrad Rieck (CoRR, 2016)

Harry: A Tool for Measuring String Similarity. - Konrad Rieck; Christian Wressnegger (J. Mach. Learn. Res., 2016)

Automatically Inferring Malware Signatures for Anti-Virus Assisted Attacks. - Christian Wressnegger; Kevin Freeman; Fabian Yamaguchi; Konrad Rieck (AsiaCCS, 2017)

Looking Back on Three Years of Flash-based Malware. - Christian Wressnegger; Konrad Rieck (EUROSEC, 2017)

Privacy Threats through Ultrasonic Side Channels on Mobile Devices. - Daniel Arp; Erwin Quiring; Christian Wressnegger; Konrad Rieck (EuroS&P, 2017)

64-Bit Migration Vulnerabilities. - Christian Wressnegger; Fabian Yamaguchi; Alwin Maier; Konrad Rieck (it Inf. Technol., 2017)

ZOE: Content-Based Anomaly Detection for Industrial Control Systems. - Christian Wressnegger; Ansgar Kellner; Konrad Rieck (DSN, 2018)

Web-based Cryptojacking in the Wild. - Marius Musch; Christian Wressnegger; Martin Johns; Konrad Rieck (CoRR, 2018)

Thieves in the Browser: Web-based Cryptojacking in the Wild. - Marius Musch; Christian Wressnegger; Martin Johns; Konrad Rieck (ARES, 2019)

TypeMiner: Recovering Types in Binary Programs Using Machine Learning. - Alwin Maier; Hugo Gascon; Christian Wressnegger; Konrad Rieck (DIMVA, 2019)

New Kid on the Web: A Study on the Prevalence of WebAssembly in the Wild. - Marius Musch; Christian Wressnegger; Martin Johns; Konrad Rieck (DIMVA, 2019)

Security Analysis of Devolo HomePIug Devices. - Rouven Scholz; Christian Wressnegger (EuroSec@EuroSys, 2019)

False Sense of Security: A Study on the Effectivity of Jailbreak Detection in Banking Apps. - Ansgar Kellner; Micha Horlboge; Konrad Rieck; Christian Wressnegger (EuroS&P, 2019)

Don't Paint It Black: White-Box Explanations for Deep Learning in Computer Security. - Alexander Warnecke; Daniel Arp; Christian Wressnegger; Konrad Rieck (CoRR, 2019)

Political Elections Under (Social) Fire? Analysis and Detection of Propaganda on Twitter. - Ansgar Kellner; Lisa Rangosch; Christian Wressnegger; Konrad Rieck (CoRR, 2019)

Efficient Machine Learning for Attack Detection. - Christian Wressnegger (2019)

What's all that noise: analysis and detection of propaganda on Twitter. - Ansgar Kellner; Christian Wressnegger; Konrad Rieck (EuroSec@EuroSys, 2020)

Aim low, shoot high: evading aimbot detectors by mimicking user behavior. - Tim Witschel; Christian Wressnegger (EuroSec@EuroSys, 2020)

Evaluating Explanation Methods for Deep Learning in Security. - Alexander Warnecke; Daniel Arp; Christian Wressnegger; Konrad Rieck (EuroS&P, 2020)

Efficient machine learning for attack detection. - Christian Wressnegger (it Inf. Technol., 2020)

LaserShark: Establishing Fast, Bidirectional Communication into Air-Gapped Systems. - Niclas Kühnapfel; Stefan Preußler; Maximilian Noppel; Thomas Schneider; Konrad Rieck; Christian Wressnegger (ACSAC, 2021)

Adversarial Robust Model Compression Using In-Train Pruning. - Manoj Rohit Vemparala; Nael Fasfous; Alexander Frickenstein; Sreetama Sarkar; Qi Zhao; Sabine Kuhn; Lukas Frickenstein; Anmol Singh; Christian Unger; Naveen Shankar Nagaraja; Christian Wressnegger; Walter Stechele (CVPR Workshops, 2021)

TagVet: Vetting Malware Tags using Explainable Machine Learning. - Lukas Pirch; Alexander Warnecke; Christian Wressnegger; Konrad Rieck (EuroSec@EuroSys, 2021)

Plausible Deniability for Anonymous Communication. - Christiane Kuhn; Maximilian Noppel; Christian Wressnegger; Thorsten Strufe (WPES@CCS, 2021)

Non-Uniform Adversarially Robust Pruning. - Qi Zhao; Tim Köonigl; Christian Wressnegger (AutoML, 2022)

to Protect the Public Opinion Against New Types of Bots? - Jan Ludwig Reubold; Stephan Escher; Christian Wressnegger; Thorsten Strufe (IEEE Big Data, 2022)

Dos and Don'ts of Machine Learning in Computer Security. - Daniel Arp; Erwin Quiring; Feargus Pendlebury; Alexander Warnecke; Fabio Pierazzi; Christian Wressnegger; Lorenzo Cavallaro; Konrad Rieck (USENIX Security Symposium, 2022)

Reproducibility and Replicability of Web Measurement Studies. - Nurullah Demir; Matteo Große-Kampmann; Tobias Urban; Christian Wressnegger; Thorsten Holz; Norbert Pohlmann (WWW, 2022)

Backdooring Explainable Machine Learning. - Maximilian Noppel; Lukas Peter; Christian Wressnegger (CoRR, 2022)

Poster: Fooling XAI with Explanation-Aware Backdoors. - Maximilian Noppel; Christian Wressnegger (CCS, 2023)

Holistic Adversarially Robust Pruning. - Qi Zhao; Christian Wressnegger (ICLR, 2023)

On the Similarity of Web Measurements Under Different Experimental Setups. - Nurullah Demir; Jan Hörnemann; Matteo Große-Kampmann; Tobias Urban; Norbert Pohlmann; Thorsten Holz; Christian Wressnegger (IMC, 2023)

Load-and-Act: Increasing Page Coverage of Web Applications. - Nico Weidmann; Thomas Barber; Christian Wressnegger (ISC, 2023)

Machine Unlearning of Features and Labels. - Alexander Warnecke; Lukas Pirch; Christian Wressnegger; Konrad Rieck (NDSS, 2023)

Disguising Attacks with Explanation-Aware Backdoors. - Maximilian Noppel; Lukas Peter; Christian Wressnegger (SP, 2023)

Randomness is the Root of All Evil: More Reliable Evaluation of Deep Active Learning. - Yilin Ji; Daniel Kästner; Oliver Wirth; Christian Wressnegger (WACV, 2023)

Lessons Learned on Machine Learning for Computer Security. - Daniel Arp; Erwin Quiring; Feargus Pendlebury; Alexander Warnecke; Fabio Pierazzi; Christian Wressnegger; Lorenzo Cavallaro; Konrad Rieck (IEEE Secur. Priv., 2023)

Model-Manipulation Attacks Against Black-Box Explanations. - Achyut Hegde; Maximilian Noppel; Christian Wressnegger (ACSAC, 2024)

Adversarially Robust Anti-Backdoor Learning. - Qi Zhao; Christian Wressnegger (AISec@CCS, 2024)

A Brief Systematization of Explanation-Aware Attacks. - Maximilian Noppel; Christian Wressnegger (KI, 2024)

SoK: Explainable Machine Learning in Adversarial Environments. - Maximilian Noppel; Christian Wressnegger (SP, 2024)

Generalized Adversarial Code-Suggestions: Exploiting Contexts of LLM-based Code-Completion. - Karl Rubel; Maximilian Noppel; Christian Wressnegger (CoRR, 2024)

A Large-Scale Study of Cookie Banner Interaction Tools and their Impact on Users' Privacy. - Nurullah Demir; Tobias Urban; Norbert Pohlmann; Christian Wressnegger (Proc. Priv. Enhancing Technol., 2024)

Pitfalls in Machine Learning for Computer Security. - Daniel Arp; Erwin Quiring; Feargus Pendlebury; Alexander Warnecke; Fabio Pierazzi; Christian Wressnegger; Lorenzo Cavallaro; Konrad Rieck (Commun. ACM, 2024)

LeaX: Class-Focused Explanations for Locating Leakage in Learning-Based Profiling Attacks. - Qi Lei; Christian Wressnegger (ARES (2), 2025)

Two Sides of the Same Coin: Learning the Backdoor to Remove the Backdoor. - Qi Zhao; Christian Wressnegger (AAAI, 2025)

Technological Framework for a Secure and Resilient Food Supply Chain. - Marten Fischer; Ralf Tönjes; Rohit Bohara; Mirko Ross; Achyut Hegde; Christian Wressnegger; Matthias Brunner (CSR, 2025)

Privacy from 5 PM to 6 AM: Tracking and Transparency Mechanisms in the HbbTV Ecosystem. - Christian Böttger; Henry Hosseini; Christine Utz; Nurullah Demir; Jan Hörnemann; Christian Wressnegger; Thomas Hupperich; Norbert Pohlmann; Matteo Große-Kampmann; Tobias Urban (DSN, 2025)

Makrut Attacks Against Black-Box Explanations. - Achyut Hegde; Maximilian Noppel; Christian Wressnegger (KI, 2025)

Exploiting Contexts of LLM-based Code-Completion. - Maximilian Noppel; Karl Rubel; Christian Wressnegger (KI, 2025)

DUMPLING: Fine-grained Differential JavaScript Engine Fuzzing. - Liam Wachter; Julian Gremminger; Christian Wressnegger; Mathias Payer; Flavio Toffalini (NDSS, 2025)

Composite Explanation-Aware Attacks. - Maximilian Noppel; Christian Wressnegger (SP (Workshops), 2025)

Controlling Latent Diffusion Using Latent CLIP. - Jason Becker; Chris Wendler; Peter Baylies; Robert West 001; Christian Wressnegger (CoRR, 2025)