Learning Intrusion Detection: Supervised or Unsupervised?. - Pavel Laskov; Patrick Düssel; Christin Schäfer; Konrad Rieck (ICIAP, 2005)

Visualization of anomaly detection using prediction sensitivity. - Pavel Laskov; Konrad Rieck; Christin Schäfer; Klaus-Robert Müller (Sicherheit, 2005)

Efficient Algorithms for Similarity Measures over Sequential Data: A Look Beyond Kernels. - Konrad Rieck; Pavel Laskov; Klaus-Robert Müller (DAGM-Symposium, 2006)

Detecting Unknown Network Attacks Using Language Models. - Konrad Rieck; Pavel Laskov (DIMVA, 2006)

Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees. - Konrad Rieck; Pavel Laskov; Sören Sonnenburg (NIPS, 2006)

Machine Learning for Intrusion Detection. - Pavel Laskov; Konrad Rieck; Klaus-Robert Müller (NATO ASI Mining Massive Data Sets for Security, 2007)

Language models for detection of unknown attacks in network traffic. - Konrad Rieck; Pavel Laskov (J. Comput. Virol., 2007)

08102 Working Group – Requirements for Network Monitoring from an IDS Perspective. - Lothar Braun; Falko Dressler; Thorsten Holz; Engin Kirda; Jan Kohlrausch; Christopher Kruegel; Tobias Limmer; Konrad Rieck; James P. G. Sterbenz (Network Attack Detection and Defense, 2008)

8102 Working Group – Attack Taxonomy. - Marc Dacier; Hervé Debar; Thorsten Holz; Engin Kirda; Jan Kohlrausch; Christopher Kruegel; Konrad Rieck; James P. G. Sterbenz (Network Attack Detection and Defense, 2008)

Learning and Classification of Malware Behavior. - Konrad Rieck; Thorsten Holz; Carsten Willems; Patrick Düssel; Pavel Laskov (DIMVA, 2008)

Incorporation of Application Layer Protocol Syntax into Anomaly Detection. - Patrick Düssel; Christian Gehl; Pavel Laskov; Konrad Rieck (ICISS, 2008)

A Self-learning System for Detection of Anomalous SIP Messages. - Konrad Rieck; Stefan Wahl; Pavel Laskov; Peter Domschitz; Klaus-Robert Müller (IPTComm, 2008)

Measuring and Detecting Fast-Flux Service Networks. - Thorsten Holz; Christian Gorecki; Konrad Rieck; Felix C. Freiling (NDSS, 2008)

Linear-Time Computation of Similarity Measures for Sequential Data. - Konrad Rieck; Pavel Laskov (J. Mach. Learn. Res., 2008)

Active learning for network intrusion detection. - Nico Görnitz; Marius Kloft; Konrad Rieck; Ulf Brefeld (AISec, 2009)

Securing IMS against novel threats. - Stefan Wahl; Konrad Rieck; Pavel Laskov; Peter Domschitz; Klaus-Robert Müller (Bell Labs Tech. J., 2009)

Machine learning for application layer intrusion detection. - Konrad Rieck (2009)

Cujo: efficient detection and prevention of drive-by-download attacks. - Konrad Rieck; Tammo Krueger; Andreas Dewald (ACSAC, 2010)

ASAP: Automatic Semantics-Aware Analysis of Network Payloads. - Tammo Krueger; Nicole Krämer 002; Konrad Rieck (PSDML, 2010)

TokDoc: a self-healing web application firewall. - Tammo Krueger; Christian Gehl; Konrad Rieck; Pavel Laskov (SAC, 2010)

Botzilla: detecting the "phoning home" of malicious software. - Konrad Rieck; Guido Schwenk; Tobias Limmer; Thorsten Holz; Pavel Laskov (SAC, 2010)

A Malware Instruction Set for Behavior-Based Analysis. - Philipp Trinius; Carsten Willems; Thorsten Holz; Konrad Rieck (Sicherheit, 2010)

Approximate Tree Kernels. - Konrad Rieck; Tammo Krueger; Ulf Brefeld; Klaus-Robert Müller (J. Mach. Learn. Res., 2010)

Smart metering de-pseudonymization. - Marek Jawurek; Martin Johns; Konrad Rieck (ACSAC, 2011)

Computer Security and Machine Learning: Worst Enemies or Best Friends? - Konrad Rieck (SysSec@DIMVA, 2011)

Adaptive Detection of Covert Communication in HTTP Requests. - Guido Schwenk; Konrad Rieck (EC2ND, 2011)

Vulnerability Extrapolation: Assisted Discovery of Vulnerabilities Using Machine Learning. - Fabian Yamaguchi; Felix "FX" Lindner; Konrad Rieck (WOOT, 2011)

Self-Learning Network Intrusion Detection. - Konrad Rieck (it Inf. Technol., 2011)

Automatic analysis of malware behavior using machine learning. - Konrad Rieck; Philipp Trinius; Carsten Willems; Thorsten Holz (J. Comput. Secur., 2011)

Similarity measures for sequential data. - Konrad Rieck (WIREs Data Mining Knowl. Discov., 2011)

Generalized vulnerability extrapolation using abstract syntax trees. - Fabian Yamaguchi; Markus Lottmann; Konrad Rieck (ACSAC, 2012)

Learning stateful models for network honeypots. - Tammo Krueger; Hugo Gascon; Nicole Krämer 002; Konrad Rieck (AISec, 2012)

Early detection of malicious behavior in JavaScript code. - Kristof Schütt; Marius Kloft; Alexander Bikadorov; Konrad Rieck (AISec, 2012)

Autonomous learning for detection of JavaScript attacks: vision or reality? - Guido Schwenk; Alexander Bikadorov; Tammo Krueger; Konrad Rieck (AISec, 2012)

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

Intelligent Defense against Malicious JavaScript Code. - Tammo Krueger; Konrad Rieck (Prax. Inf.verarb. Kommun., 2012)

Structural detection of android malware using embedded call graphs. - Hugo Gascon; Fabian Yamaguchi; Daniel Arp; Konrad Rieck (AISec, 2013)

Off the beaten path: machine learning for offensive security. - Konrad Rieck (AISec, 2013)

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)

Toward Supervised Anomaly Detection. - Nico Görnitz; Marius Kloft; Konrad Rieck; Ulf Brefeld (J. Artif. Intell. Res., 2013)

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

DREBIN: Effective and Explainable Detection of Android Malware in Your Pocket. - Daniel Arp; Michael Spreitzenbarth; Malte Hubner; Hugo Gascon; Konrad Rieck (NDSS, 2014)

Continuous Authentication on Mobile Devices by Analysis of Typing Motion Behavior. - Hugo Gascon; Sebastian Uellenbeck; Christopher Wolf; Konrad Rieck (Sicherheit, 2014)

Modeling and Discovering Vulnerabilities with Code Property Graphs. - Fabian Yamaguchi; Nico Golde; Daniel Arp; Konrad Rieck (IEEE Symposium on Security and Privacy, 2014)

Special issue on threat detection, analysis and defense. - Shujun Li; Konrad Rieck; Alan Woodward (J. Inf. Secur. Appl., 2014)

Torben: A Practical Side-Channel Attack for Deanonymizing Tor Communication. - Daniel Arp; Fabian Yamaguchi; Konrad Rieck (AsiaCCS, 2015)

VCCFinder: Finding Potential Vulnerabilities in Open-Source Projects to Assist Code Audits. - Henning Perl; Sergej Dechand; Matthew Smith 001; Daniel Arp; Fabian Yamaguchi; Konrad Rieck; Sascha Fahl; Yasemin Acar (CCS, 2015)

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

Automatic Inference of Search Patterns for Taint-Style Vulnerabilities. - Fabian Yamaguchi; Alwin Maier; Hugo Gascon; Konrad Rieck (IEEE Symposium on Security and Privacy, 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)

Towards Vulnerability Discovery Using Staged Program Analysis. - Bhargava Shastry; Fabian Yamaguchi; Konrad Rieck; Jean-Pierre Seifert (DIMVA, 2016)

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

Monte Carlo Localization for path-based mobility in mobile wireless sensor networks. - Salke Hartung; Ansgar Kellner; Konrad Rieck; Dieter Hogrefe (WCNC, 2016)

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

Die Codeanalyseplattform "Octopus". - Fabian Yamaguchi; Konrad Rieck (Datenschutz und Datensicherheit, 2016)

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

Fingerprinting Mobile Devices Using Personalized Configurations. - Andreas Kurtz 001; Hugo Gascon; Tobias Becker; Konrad Rieck; Felix C. Freiling (Proc. Priv. Enhancing Technol., 2016)

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

Mining Attributed Graphs for Threat Intelligence. - Hugo Gascon; Bernd Grobauer; Thomas Schreck; Lukas Rist; Daniel Arp; Konrad Rieck (CODASPY, 2017)

TrustJS: Trusted Client-side Execution of JavaScript. - David Goltzsche; Colin Wulf; Divya Muthukumaran; Konrad Rieck; Peter R. Pietzuch; Rüdiger Kapitza (EUROSEC, 2017)

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

Efficient and Flexible Discovery of PHP Application Vulnerabilities. - Michael Backes 001; Konrad Rieck; Malte Skoruppa; Ben Stock; Fabian Yamaguchi (EuroS&P, 2017)

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

Static Program Analysis as a Fuzzing Aid. - Bhargava Shastry; Markus Leutner; Tobias Fiebig; Kashyap Thimmaraju; Fabian Yamaguchi; Konrad Rieck; Stefan Schmid 001; Jean-Pierre Seifert; Anja Feldmann (RAID, 2017)

Static Exploration of Taint-Style Vulnerabilities Found by Fuzzing. - Bhargava Shastry; Federico Maggi 001; Fabian Yamaguchi; Konrad Rieck; Jean-Pierre Seifert (WOOT, 2017)

Leveraging Flawed Tutorials for Seeding Large-Scale Web Vulnerability Discovery. - Tommi Unruh; Bhargava Shastry; Malte Skoruppa; Federico Maggi 001; Konrad Rieck; Jean-Pierre Seifert; Fabian Yamaguchi (WOOT, 2017)

Fraternal Twins: Unifying Attacks on Machine Learning and Digital Watermarking. - Erwin Quiring; Daniel Arp; Konrad Rieck (CoRR, 2017)

Vulnerability analysis. - Konrad Rieck (it Inf. Technol., 2017)

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

Family Reunion: Adversarial Machine Learning meets Digital Watermarking. - Konrad Rieck (MPS@CCS, 2018)

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

Forgotten Siblings: Unifying Attacks on Machine Learning and Digital Watermarking. - Erwin Quiring; Daniel Arp; Konrad Rieck (EuroS&P, 2018)

Adversarial Machine Learning Against Digital Watermarking. - Erwin Quiring; Konrad Rieck (EUSIPCO, 2018)

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 (NDSS, 2018)

Reading Between the Lines: Content-Agnostic Detection of Spear-Phishing Emails. - Hugo Gascon; Steffen Ullrich; Benjamin Stritter; Konrad Rieck (RAID, 2018)

Privacy-Enhanced Fraud Detection with Bloom Filters. - Daniel Arp; Erwin Quiring; Tammo Krueger; Stanimir Dragiev; Konrad Rieck (SecureComm (1), 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)

On the Security and Applicability of Fragile Camera Fingerprints. - Erwin Quiring; Matthias Kirchner; Konrad Rieck (ESORICS (1), 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)

Misleading Authorship Attribution of Source Code using Adversarial Learning. - Erwin Quiring; Alwin Maier; Konrad Rieck (USENIX Security Symposium, 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)

Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection. - Ambra Demontis; Marco Melis; Battista Biggio; Davide Maiorca; Daniel Arp; Konrad Rieck; Igino Corona; Giorgio Giacinto; Fabio Roli (IEEE Trans. Dependable Secur. Comput., 2019)

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

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

Explanation-Driven Characterization of Android Ransomware. - Michele Scalas; Konrad Rieck; Giorgio Giacinto (ICPR Workshops (3), 2020)

Backdooring and Poisoning Neural Networks with Image-Scaling Attacks. - Erwin Quiring; Konrad Rieck (SP (Workshops), 2020)

Adversarial Preprocessing: Understanding and Preventing Image-Scaling Attacks in Machine Learning. - Erwin Quiring; David Klein 001; Daniel Arp; Martin Johns; Konrad Rieck (USENIX Security Symposium, 2020)

Against All Odds: Winning the Defense Challenge in an Evasion Competition with Diversification. - Erwin Quiring; Lukas Pirch; Michael Reimsbach; Daniel Arp; Konrad Rieck (CoRR, 2020)

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

Explaining Graph Neural Networks for Vulnerability Discovery. - Tom Ganz; Martin Härterich; Alexander Warnecke; Konrad Rieck (AISec@CCS, 2021)

Spying through Virtual Backgrounds of Video Calls. - Jan Malte Hilgefort; Daniel Arp; Konrad Rieck (AISec@CCS, 2021)

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

Towards Intelligent Context-Aware 6G Security. - André Noll Barreto; Stefan Köpsell; Arsenia Chorti; Bertram Poettering; Jens Jelitto; Julia Hesse; Jonathan Boole; Konrad Rieck; Marios Kountouris; Dave Singelée; Kumar Ashwinee (CoRR, 2021)

LogPicker: Strengthening Certificate Transparency Against Covert Adversaries. - Alexandra Dirksen; David Klein 001; Robert Michael; Tilman Stehr; Konrad Rieck; Martin Johns (Proc. Priv. Enhancing Technol., 2021)

Quantifying the Risk of Wormhole Attacks on Bluetooth Contact Tracing. - Stefan Czybik; Daniel Arp; Konrad Rieck (CODASPY, 2022)

Misleading Deep-Fake Detection with GAN Fingerprints. - Vera Wesselkamp; Konrad Rieck; Daniel Arp; Erwin Quiring (SP (Workshops), 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)

Security of Machine Learning (Dagstuhl Seminar 22281). - Battista Biggio; Nicholas Carlini; Pavel Laskov; Konrad Rieck; Antonio Emanuele Cinà (Dagstuhl Reports, 2022)

PAVUDI: Patch-based Vulnerability Discovery using Machine Learning. - Tom Ganz; Erik Imgrund; Martin Härterich; Konrad Rieck (ACSAC, 2023)

On the Detection of Image-Scaling Attacks in Machine Learning. - Erwin Quiring; Andreas Müller 025; Konrad Rieck (ACSAC, 2023)

When Papers Choose Their Reviewers: Adversarial Machine Learning in Peer Review. - Konrad Rieck (ARTMAN@CCS, 2023)

Broken Promises: Measuring Confounding Effects in Learning-based Vulnerability Discovery. - Erik Imgrund; Tom Ganz; Martin Härterich; Lukas Pirch; Niklas Risse; Konrad Rieck (AISec@CCS, 2023)

Detecting Backdoors in Collaboration Graphs of Software Repositories. - Tom Ganz; Inaam Ashraf; Martin Härterich; Konrad Rieck (CODASPY, 2023)

CodeGraphSMOTE - Data Augmentation for Vulnerability Discovery. - Tom Ganz; Erik Imgrund; Martin Härterich; Konrad Rieck (DBSec, 2023)

Learning Type Inference for Enhanced Dataflow Analysis. - Lukas Seidel; Sedick David Baker Effendi; Xavier Pinho; Konrad Rieck; Brink van der Merwe; Fabian Yamaguchi (ESORICS (4), 2023)

Hunting for Truth: Analyzing Explanation Methods in Learning-based Vulnerability Discovery. - Tom Ganz; Philipp Rall; Martin Härterich; Konrad Rieck (EuroS&P, 2023)

Lazy Gatekeepers: A Large-Scale Study on SPF Configuration in the Wild. - Stefan Czybik; Micha Horlboge; Konrad Rieck (IMC, 2023)

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

No more Reviewer #2: Subverting Automatic Paper-Reviewer Assignment using Adversarial Learning. - Thorsten Eisenhofer; Erwin Quiring; Jonas Möller; Doreen Riepel; Thorsten Holz; Konrad Rieck (USENIX Security Symposium, 2023)

Evil from Within: Machine Learning Backdoors through Hardware Trojans. - Alexander Warnecke; Julian Speith; Jan-Niklas Möller; Konrad Rieck; Christof Paar (CoRR, 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)

Evil from Within: Machine Learning Backdoors Through Dormant Hardware Trojans. - Alexander Warnecke; Julian Speith; Jan-Niklas Möller; Konrad Rieck; Christof Paar (ACSAC, 2024)

On the Role of Pre-trained Embeddings in Binary Code Analysis. - Alwin Maier; Felix Weißberg; Konrad Rieck (AsiaCCS, 2024)

Cross-Language Differential Testing of JSON Parsers. - Jonas Möller; Felix Weißberg; Lukas Pirch; Thorsten Eisenhofer; Konrad Rieck (AsiaCCS, 2024)

SoK: Where to Fuzz? Assessing Target Selection Methods in Directed Fuzzing. - Felix Weissberg; Jonas Möller; Tom Ganz; Erik Imgrund; Lukas Pirch; Lukas Seidel; Moritz Schloegel; Thorsten Eisenhofer; Konrad Rieck (AsiaCCS, 2024)

Listening Between the Bits: Privacy Leaks in Audio Fingerprints. - Moritz Pfister; Robert Michael; Max Boll; Cosima Körfer; Konrad Rieck; Daniel Arp (DIMVA, 2024)

Dancer in the Dark: Synthesizing and Evaluating Polyglots for Blind Cross-Site Scripting. - Robin Kirchner; Jonas Möller; Marius Musch; David Klein 001; Konrad Rieck; Martin Johns (USENIX Security Symposium, 2024)

Manipulating Feature Visualizations with Gradient Slingshots. - Dilyara Bareeva; Marina M.-C. Höhne; Alexander Warnecke; Lukas Pirch; Klaus-Robert Müller; Konrad Rieck; Kirill Bykov (CoRR, 2024)

I still know it's you! On Challenges in Anonymizing Source Code. - Micha Horlboge; Erwin Quiring; Roland Meyer 001; Konrad Rieck (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)

Adversarial Observations in Weather Forecasting. - Erik Imgrund; Thorsten Eisenhofer; Konrad Rieck (CoRR, 2025)