| 2026 | AsiaCCS | Shape-Shifting Malicious Code in Software Backdoors via Language Models. | Mohammad Ebrahimi Fard, Felix Weissberg, Erik Imgrund, Thorsten Eisenhofer, Konrad Rieck |
| 2025 | CCS | Adversarial Observations in Weather Forecasting. | Erik Imgrund, Thorsten Eisenhofer, Konrad Rieck |
| 2025 | ICML | Adversarial Inputs for Linear Algebra Backends. | Jonas Mller, Lukas Pirch, Felix Weissberg, Sebastian Baunsgaard, Thorsten Eisenhofer, Konrad Rieck |
| 2025 | MSWIM | Tiny Sensors, Big Threats: Assessing Motion Sensor-based Fingerprinting in Mobile Systems. | Carlos Sulbaran Fandino, Anne Josiane Kouam, Konrad Rieck |
| 2025 | VLDB | Towards Identifying Intent of Data Errors. | Mohamed Ahmed Abdelmaksoud Mohamed, Konrad Rieck, Ziawasch Abedjan |
| 2024 | ACSAC | Evil from Within: Machine Learning Backdoors Through Dormant Hardware Trojans. | Alexander Warnecke, Julian Speith, Jan-Niklas Mller, Konrad Rieck, Christof Paar |
| 2024 | AsiaCCS | On the Role of Pre-trained Embeddings in Binary Code Analysis. | Alwin Maier, Felix Weiberg, Konrad Rieck |
| 2024 | AsiaCCS | Cross-Language Differential Testing of JSON Parsers. | Jonas Mller, Felix Weiberg, Lukas Pirch, Thorsten Eisenhofer, Konrad Rieck |
| 2024 | AsiaCCS | SoK: Where to Fuzz? Assessing Target Selection Methods in Directed Fuzzing. | Felix Weissberg, Jonas Mller, Tom Ganz, Erik Imgrund, Lukas Pirch, Lukas Seidel, Moritz Schloegel, Thorsten Eisenhofer, Konrad Rieck |
| 2024 | DIMVA | Listening Between the Bits: Privacy Leaks in Audio Fingerprints. | Moritz Pfister, Robert Michael, Max Boll, Cosima Krfer, Konrad Rieck, Daniel Arp |
| 2023 | ACSAC | PAVUDI: Patch-based Vulnerability Discovery using Machine Learning. | Tom Ganz, Erik Imgrund, Martin Hrterich, Konrad Rieck |
| 2023 | ACSAC | On the Detection of Image-Scaling Attacks in Machine Learning. | Erwin Quiring, Andreas Mller, Konrad Rieck |
| 2023 | CCS | Broken Promises: Measuring Confounding Effects in Learning-based Vulnerability Discovery. | Erik Imgrund, Tom Ganz, Martin Hrterich, Lukas Pirch, Niklas Risse, Konrad Rieck |
| 2023 | DBSEC | CodeGraphSMOTE - Data Augmentation for Vulnerability Discovery. | Tom Ganz, Erik Imgrund, Martin Hrterich, Konrad Rieck |
| 2023 | ESORICS | Learning Type Inference for Enhanced Dataflow Analysis. | Lukas Seidel, Sedick David Baker Effendi, Xavier Pinho, Konrad Rieck, Brink van der Merwe, Fabian Yamaguchi |
| 2023 | IMC | Lazy Gatekeepers: A Large-Scale Study on SPF Configuration in the Wild. | Stefan Czybik, Micha Horlboge, Konrad Rieck |
| 2023 | NDSS | Machine Unlearning of Features and Labels. | Alexander Warnecke, Lukas Pirch, Christian Wressnegger, Konrad Rieck |
| 2022 | SP | Misleading Deep-Fake Detection with GAN Fingerprints. | Vera Wesselkamp, Konrad Rieck, Daniel Arp, Erwin Quiring |
| 2021 | ACSAC | LaserShark: Establishing Fast, Bidirectional Communication into Air-Gapped Systems. | Niclas Khnapfel, Stefan Preuler, Maximilian Noppel, Thomas Schneider, Konrad Rieck, Christian Wressnegger |
| 2021 | CCS | Explaining Graph Neural Networks for Vulnerability Discovery. | Tom Ganz, Martin Hrterich, Alexander Warnecke, Konrad Rieck |
| 2021 | CCS | Spying through Virtual Backgrounds of Video Calls. | Jan Malte Hilgefort, Daniel Arp, Konrad Rieck |
| 2020 | ICPR | Explanation-Driven Characterization of Android Ransomware. | Michele Scalas, Konrad Rieck, Giorgio Giacinto |
| 2020 | SP | Backdooring and Poisoning Neural Networks with Image-Scaling Attacks. | Erwin Quiring, Konrad Rieck |
| 2019 | DIMVA | TypeMiner: Recovering Types in Binary Programs Using Machine Learning. | Alwin Maier, Hugo Gascon, Christian Wressnegger, Konrad Rieck |
| 2019 | DIMVA | New Kid on the Web: A Study on the Prevalence of WebAssembly in the Wild. | Marius Musch, Christian Wressnegger, Martin Johns, Konrad Rieck |
| 2019 | ESORICS | On the Security and Applicability of Fragile Camera Fingerprints. | Erwin Quiring, Matthias Kirchner, Konrad Rieck |
| 2018 | CCS | Family Reunion: Adversarial Machine Learning meets Digital Watermarking. | Konrad Rieck |
| 2018 | DSN | ZOE: Content-Based Anomaly Detection for Industrial Control Systems. | Christian Wressnegger, Ansgar Kellner, Konrad Rieck |
| 2018 | NDSS | When Coding Style Survives Compilation: De-anonymizing Programmers from Executable Binaries. | Aylin Caliskan, Fabian Yamaguchi, Edwin Dauber, Richard E. Harang, Konrad Rieck, Rachel Greenstadt, Arvind Narayanan |
| 2018 | RAID | Reading Between the Lines: Content-Agnostic Detection of Spear-Phishing Emails. | Hugo Gascon, Steffen Ullrich, Benjamin Stritter, Konrad Rieck |
| 2018 | SecureComm | Privacy-Enhanced Fraud Detection with Bloom Filters. | Daniel Arp, Erwin Quiring, Tammo Krueger, Stanimir Dragiev, Konrad Rieck |
| 2017 | CCS | Automatically Inferring Malware Signatures for Anti-Virus Assisted Attacks. | Christian Wressnegger, Kevin Freeman, Fabian Yamaguchi, Konrad Rieck |
| 2017 | RAID | Static Program Analysis as a Fuzzing Aid. | Bhargava Shastry, Markus Leutner, Tobias Fiebig, Kashyap Thimmaraju, Fabian Yamaguchi, Konrad Rieck, Stefan Schmid, Jean-Pierre Seifert, Anja Feldmann |
| 2016 | CCS | Twice the Bits, Twice the Trouble: Vulnerabilities Induced by Migrating to 64-Bit Platforms. | Christian Wressnegger, Fabian Yamaguchi, Alwin Maier, Konrad Rieck |
| 2016 | DIMVA | Towards Vulnerability Discovery Using Staged Program Analysis. | Bhargava Shastry, Fabian Yamaguchi, Konrad Rieck, Jean-Pierre Seifert |
| 2016 | DIMVA | Comprehensive Analysis and Detection of Flash-Based Malware. | Christian Wressnegger, Fabian Yamaguchi, Daniel Arp, Konrad Rieck |
| 2016 | WCNC | Monte Carlo Localization for path-based mobility in mobile wireless sensor networks. | Salke Hartung, Ansgar Kellner, Konrad Rieck, Dieter Hogrefe |
| 2015 | CCS | Torben: A Practical Side-Channel Attack for Deanonymizing Tor Communication. | Daniel Arp, Fabian Yamaguchi, Konrad Rieck |
| 2015 | CCS | VCCFinder: Finding Potential Vulnerabilities in Open-Source Projects to Assist Code Audits. | Henning Perl, Sergej Dechand, Matthew Smith, Daniel Arp, Fabian Yamaguchi, Konrad Rieck, Sascha Fahl, Yasemin Acar |
| 2015 | SP | Automatic Inference of Search Patterns for Taint-Style Vulnerabilities. | Fabian Yamaguchi, Alwin Maier, Hugo Gascon, Konrad Rieck |
| 2015 | SecureComm | Pulsar: Stateful Black-Box Fuzzing of Proprietary Network Protocols. | Hugo Gascon, Christian Wressnegger, Fabian Yamaguchi, Daniel Arp, Konrad Rieck |
| 2014 | CCS | Poisoning behavioral malware clustering. | Battista Biggio, Konrad Rieck, Davide Ariu, Christian Wressnegger, Igino Corona, Giorgio Giacinto, Fabio Roli |
| 2014 | NDSS | DREBIN: Effective and Explainable Detection of Android Malware in Your Pocket. | Daniel Arp, Michael Spreitzenbarth, Malte Hubner, Hugo Gascon, Konrad Rieck |
| 2014 | SP | Modeling and Discovering Vulnerabilities with Code Property Graphs. | Fabian Yamaguchi, Nico Golde, Daniel Arp, Konrad Rieck |
| 2013 | CCS | Structural detection of android malware using embedded call graphs. | Hugo Gascon, Fabian Yamaguchi, Daniel Arp, Konrad Rieck |
| 2013 | CCS | Off the beaten path: machine learning for offensive security. | Konrad Rieck |
| 2013 | CCS | A close look on | Christian Wressnegger, Guido Schwenk, Daniel Arp, Konrad Rieck |
| 2013 | CCS | Chucky: exposing missing checks in source code for vulnerability discovery. | Fabian Yamaguchi, Christian Wressnegger, Hugo Gascon, Konrad Rieck |
| 2013 | RAID | Deobfuscating Embedded Malware Using Probable-Plaintext Attacks. | Christian Wressnegger, Frank Boldewin, Konrad Rieck |
| 2012 | ACSAC | Generalized vulnerability extrapolation using abstract syntax trees. | Fabian Yamaguchi, Markus Lottmann, Konrad Rieck |
| 2012 | CCS | Learning stateful models for network honeypots. | Tammo Krueger, Hugo Gascon, Nicole Krmer, Konrad Rieck |
| 2012 | CCS | Early detection of malicious behavior in JavaScript code. | Kristof Schtt, Marius Kloft, Alexander Bikadorov, Konrad Rieck |
| 2012 | CCS | Autonomous learning for detection of JavaScript attacks: vision or reality? | Guido Schwenk, Alexander Bikadorov, Tammo Krueger, Konrad Rieck |
| 2011 | ACSAC | Smart metering de-pseudonymization. | Marek Jawurek, Martin Johns, Konrad Rieck |
| 2011 | DIMVA | Computer Security and Machine Learning: Worst Enemies or Best Friends? | Konrad Rieck |
| 2010 | ACSAC | Cujo: efficient detection and prevention of drive-by-download attacks. | Konrad Rieck, Tammo Krueger, Andreas Dewald |
| 2010 | SAC | TokDoc: a self-healing web application firewall. | Tammo Krueger, Christian Gehl, Konrad Rieck, Pavel Laskov |
| 2010 | SAC | Botzilla: detecting the "phoning home" of malicious software. | Konrad Rieck, Guido Schwenk, Tobias Limmer, Thorsten Holz, Pavel Laskov |
| 2009 | CCS | Active learning for network intrusion detection. | Nico Grnitz, Marius Kloft, Konrad Rieck, Ulf Brefeld |
| 2008 | DIMVA | Learning and Classification of Malware Behavior. | Konrad Rieck, Thorsten Holz, Carsten Willems, Patrick Dssel, Pavel Laskov |
| 2008 | ICISS | Incorporation of Application Layer Protocol Syntax into Anomaly Detection. | Patrick Dssel, Christian Gehl, Pavel Laskov, Konrad Rieck |
| 2008 | NDSS | Measuring and Detecting Fast-Flux Service Networks. | Thorsten Holz, Christian Gorecki, Konrad Rieck, Felix C. Freiling |
| 2006 | DIMVA | Detecting Unknown Network Attacks Using Language Models. | Konrad Rieck, Pavel Laskov |
| 2005 | ICIAP | Learning Intrusion Detection: Supervised or Unsupervised?. | Pavel Laskov, Patrick Dssel, Christin Schfer, Konrad Rieck |