Konrad Rieck - RankMe

158 papers A* 17A 24B 11C 1Misc 4Journal 57Unranked 42

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Hardware-Triggered Backdoors. CoRR Jonas Möller, Erik Imgrund, Thorsten Eisenhofer, Konrad Rieck
2026	J	`jnl`	Order in the Evaluation Court: A Critical Analysis of NLG Evaluation Trends. CoRR Jing Yang, Nils Feldhus, Salar Mohtaj, Leonhard Hennig, Qianli Wang, Eleni Metheniti, Sherzod Hakimov, Charlott Jakob, Veronika Solopova, Konrad Rieck, David Schlangen, Sebastian Möller, Vera Schmitt
2026	J	`jnl`	Practical Type Inference: High-Throughput Recovery of Real-World Structures and Function Signatures. CoRR Lukas Seidel, Sam Thomas, Konrad Rieck
2025	A*	`conf`	Adversarial Inputs for Linear Algebra Backends. ICML Jonas Möller, Lukas Pirch, Felix Weissberg, Sebastian Baunsgaard, Thorsten Eisenhofer, Konrad Rieck
2025	A*	`conf`	Adversarial Observations in Weather Forecasting. CCS Erik Imgrund, Thorsten Eisenhofer, Konrad Rieck
2025	J	`jnl`	Adversarial Observations in Weather Forecasting. CoRR Erik Imgrund, Thorsten Eisenhofer, Konrad Rieck
2025	J	`jnl`	Dancer in the Dark: Synthesizing and Evaluating Polyglots for Blind Cross-Site Scripting. CoRR Robin Kirchner, Jonas Möller, Marius Musch, David Klein, Konrad Rieck, Martin Johns
2025	J	`jnl`	LLM-based Vulnerability Discovery through the Lens of Code Metrics. CoRR Felix Weissberg, Lukas Pirch, Erik Imgrund, Jonas Möller, Thorsten Eisenhofer, Konrad Rieck
2025	J	`jnl`	Lazy Gatekeepers: A Large-Scale Study on SPF Configuration in the Wild. CoRR Stefan Czybik, Micha Horlboge, Konrad Rieck
2025	J	`jnl`	On the Role of Pre-trained Embeddings in Binary Code Analysis. CoRR Alwin Maier, Felix Weissberg, Konrad Rieck
2025	A*	`conf`	Seeing Through: Analyzing and Attacking Virtual Backgrounds in Video Calls. USENIX Security Symposium Felix Weissberg, Jan Malte Hilgefort, Steve Grogorick, Daniel Arp, Thorsten Eisenhofer, Martin Eisemann, Konrad Rieck
2025	J	`jnl`	SoK: Where to Fuzz? Assessing Target Selection Methods in Directed Fuzzing. CoRR Felix Weissberg, Jonas Möller, Tom Ganz, Erik Imgrund, Lukas Pirch, Lukas Seidel, Moritz Schloegel, Thorsten Eisenhofer, Konrad Rieck
2025	A	`conf`	Tiny Sensors, Big Threats: Assessing Motion Sensor-based Fingerprinting in Mobile Systems. MSWiM Carlos Sulbaran Fandino, Anne Josiane Kouam, Konrad Rieck
2024	A	`conf`	Cross-Language Differential Testing of JSON Parsers. AsiaCCS Jonas Möller, Felix Weißberg, Lukas Pirch, Thorsten Eisenhofer, Konrad Rieck
2024	A*	`conf`	Dancer in the Dark: Synthesizing and Evaluating Polyglots for Blind Cross-Site Scripting. USENIX Security Symposium Robin Kirchner, Jonas Möller, Marius Musch, David Klein, Konrad Rieck, Martin Johns
2024	A	`conf`	Evil from Within: Machine Learning Backdoors Through Dormant Hardware Trojans. ACSAC Alexander Warnecke, Julian Speith, Jan-Niklas Möller, Konrad Rieck, Christof Paar
2024	J	`jnl`	I still know it's you! On Challenges in Anonymizing Source Code. Proc. Priv. Enhancing Technol. Micha Horlboge, Erwin Quiring, Roland Meyer, Konrad Rieck
2024	B	`conf`	Listening Between the Bits: Privacy Leaks in Audio Fingerprints. DIMVA Moritz Pfister, Robert Michael, Max Boll, Cosima Körfer, Konrad Rieck, Daniel Arp
2024	J	`jnl`	Manipulating Feature Visualizations with Gradient Slingshots. CoRR Dilyara Bareeva, Marina M.-C. Höhne, Alexander Warnecke, Lukas Pirch, Klaus-Robert Müller, Konrad Rieck, Kirill Bykov
2024	A	`conf`	On the Role of Pre-trained Embeddings in Binary Code Analysis. AsiaCCS Alwin Maier, Felix Weißberg, Konrad Rieck
2024	J	`jnl`	Pitfalls in Machine Learning for Computer Security. Commun. ACM Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck
2024	A	`conf`	SoK: Where to Fuzz? Assessing Target Selection Methods in Directed Fuzzing. AsiaCCS Felix Weissberg, Jonas Möller, Tom Ganz, Erik Imgrund, Lukas Pirch, Lukas Seidel, Moritz Schloegel, Thorsten Eisenhofer, Konrad Rieck
2023	—	`conf`	Broken Promises: Measuring Confounding Effects in Learning-based Vulnerability Discovery. AISec@CCS Erik Imgrund, Tom Ganz, Martin Härterich, Lukas Pirch, Niklas Risse, Konrad Rieck
2023	B	`conf`	CodeGraphSMOTE - Data Augmentation for Vulnerability Discovery. DBSec Tom Ganz, Erik Imgrund, Martin Härterich, Konrad Rieck
2023	—	`conf`	Detecting Backdoors in Collaboration Graphs of Software Repositories. CODASPY Tom Ganz, Inaam Ashraf, Martin Härterich, Konrad Rieck
2023	J	`jnl`	Evil from Within: Machine Learning Backdoors through Hardware Trojans. CoRR Alexander Warnecke, Julian Speith, Jan-Niklas Möller, Konrad Rieck, Christof Paar
2023	A	`conf`	Hunting for Truth: Analyzing Explanation Methods in Learning-based Vulnerability Discovery. EuroS&P Tom Ganz, Philipp Rall, Martin Härterich, Konrad Rieck
2023	A	`conf`	Lazy Gatekeepers: A Large-Scale Study on SPF Configuration in the Wild. IMC Stefan Czybik, Micha Horlboge, Konrad Rieck
2023	—	`conf`	Learning Type Inference for Enhanced Dataflow Analysis. ESORICS (4) Lukas Seidel, Sedick David Baker Effendi, Xavier Pinho, Konrad Rieck, Brink van der Merwe, Fabian Yamaguchi
2023	J	`jnl`	Learning Type Inference for Enhanced Dataflow Analysis. CoRR Lukas Seidel, Sedick David Baker Effendi, Xavier Pinho, Konrad Rieck, Brink van der Merwe, Fabian Yamaguchi
2023	J	`jnl`	Lessons Learned on Machine Learning for Computer Security. IEEE Secur. Priv. Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck
2023	A*	`conf`	Machine Unlearning of Features and Labels. NDSS Alexander Warnecke, Lukas Pirch, Christian Wressnegger, Konrad Rieck
2023	A*	`conf`	No more Reviewer #2: Subverting Automatic Paper-Reviewer Assignment using Adversarial Learning. USENIX Security Symposium Thorsten Eisenhofer, Erwin Quiring, Jonas Möller, Doreen Riepel, Thorsten Holz, Konrad Rieck
2023	J	`jnl`	No more Reviewer #2: Subverting Automatic Paper-Reviewer Assignment using Adversarial Learning. CoRR Thorsten Eisenhofer, Erwin Quiring, Jonas Möller, Doreen Riepel, Thorsten Holz, Konrad Rieck
2023	A	`conf`	On the Detection of Image-Scaling Attacks in Machine Learning. ACSAC Erwin Quiring, Andreas Müller, Konrad Rieck
2023	J	`jnl`	On the Detection of Image-Scaling Attacks in Machine Learning. CoRR Erwin Quiring, Andreas Müller, Konrad Rieck
2023	A	`conf`	PAVUDI: Patch-based Vulnerability Discovery using Machine Learning. ACSAC Tom Ganz, Erik Imgrund, Martin Härterich, Konrad Rieck
2023	—	`conf`	When Papers Choose Their Reviewers: Adversarial Machine Learning in Peer Review. ARTMAN@CCS Konrad Rieck
2022	A*	`conf`	Dos and Don'ts of Machine Learning in Computer Security. USENIX Security Symposium Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck
2022	J	`jnl`	I still know it's you! On Challenges in Anonymizing Source Code. CoRR Micha Horlboge, Erwin Quiring, Roland Meyer, Konrad Rieck
2022	—	`conf`	Misleading Deep-Fake Detection with GAN Fingerprints. SP (Workshops) Vera Wesselkamp, Konrad Rieck, Daniel Arp, Erwin Quiring
2022	J	`jnl`	Misleading Deep-Fake Detection with GAN Fingerprints. CoRR Vera Wesselkamp, Konrad Rieck, Daniel Arp, Erwin Quiring
2022	—	`conf`	Quantifying the Risk of Wormhole Attacks on Bluetooth Contact Tracing. CODASPY Stefan Czybik, Daniel Arp, Konrad Rieck
2022	J	`jnl`	Security of Machine Learning (Dagstuhl Seminar 22281). Dagstuhl Reports Battista Biggio, Nicholas Carlini, Pavel Laskov, Konrad Rieck, Antonio Emanuele Cinà
2021	—	`conf`	Explaining Graph Neural Networks for Vulnerability Discovery. AISec@CCS Tom Ganz, Martin Härterich, Alexander Warnecke, Konrad Rieck
2021	A	`conf`	LaserShark: Establishing Fast, Bidirectional Communication into Air-Gapped Systems. ACSAC Niclas Kühnapfel, Stefan Preußler, Maximilian Noppel, Thomas Schneider, Konrad Rieck, Christian Wressnegger
2021	J	`jnl`	LaserShark: Establishing Fast, Bidirectional Communication into Air-Gapped Systems. CoRR Niclas Kühnapfel, Stefan Preußler, Maximilian Noppel, Thomas Schneider, Konrad Rieck, Christian Wressnegger
2021	J	`jnl`	LogPicker: Strengthening Certificate Transparency Against Covert Adversaries. Proc. Priv. Enhancing Technol. Alexandra Dirksen, David Klein, Robert Michael, Tilman Stehr, Konrad Rieck, Martin Johns
2021	J	`jnl`	Machine Unlearning of Features and Labels. CoRR Alexander Warnecke, Lukas Pirch, Christian Wressnegger, Konrad Rieck
2021	—	`conf`	Spying through Virtual Backgrounds of Video Calls. AISec@CCS Jan Malte Hilgefort, Daniel Arp, Konrad Rieck
2021	—	`conf`	TagVet: Vetting Malware Tags using Explainable Machine Learning. EuroSec@EuroSys Lukas Pirch, Alexander Warnecke, Christian Wressnegger, Konrad Rieck
2021	J	`jnl`	Towards Intelligent Context-Aware 6G Security. CoRR André Noll Barreto, Stefan Köpsell, Arsenia Chorti, Bertram Poettering, Jens Jelitto, Julia Hesse, Jonathan Boole, Konrad Rieck, Marios Kountouris, Dave Singelée, Kumar Ashwinee
2020	A*	`conf`	Adversarial Preprocessing: Understanding and Preventing Image-Scaling Attacks in Machine Learning. USENIX Security Symposium Erwin Quiring, David Klein, Daniel Arp, Martin Johns, Konrad Rieck
2020	J	`jnl`	Against All Odds: Winning the Defense Challenge in an Evasion Competition with Diversification. CoRR Erwin Quiring, Lukas Pirch, Michael Reimsbach, Daniel Arp, Konrad Rieck
2020	—	`conf`	Backdooring and Poisoning Neural Networks with Image-Scaling Attacks. SP (Workshops) Erwin Quiring, Konrad Rieck
2020	J	`jnl`	Backdooring and Poisoning Neural Networks with Image-Scaling Attacks. CoRR Erwin Quiring, Konrad Rieck
2020	J	`jnl`	Dos and Don'ts of Machine Learning in Computer Security. CoRR Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck
2020	A	`conf`	Evaluating Explanation Methods for Deep Learning in Security. EuroS&P Alexander Warnecke, Daniel Arp, Christian Wressnegger, Konrad Rieck
2020	—	`conf`	Explanation-Driven Characterization of Android Ransomware. ICPR Workshops (3) Michele Scalas, Konrad Rieck, Giorgio Giacinto
2020	—	`conf`	What's all that noise: analysis and detection of propaganda on Twitter. EuroSec@EuroSys Ansgar Kellner, Christian Wressnegger, Konrad Rieck
2019	J	`jnl`	Don't Paint It Black: White-Box Explanations for Deep Learning in Computer Security. CoRR Alexander Warnecke, Daniel Arp, Christian Wressnegger, Konrad Rieck
2019	A	`conf`	False Sense of Security: A Study on the Effectivity of Jailbreak Detection in Banking Apps. EuroS&P Ansgar Kellner, Micha Horlboge, Konrad Rieck, Christian Wressnegger
2019	A*	`conf`	Misleading Authorship Attribution of Source Code using Adversarial Learning. USENIX Security Symposium Erwin Quiring, Alwin Maier, Konrad Rieck
2019	J	`jnl`	Misleading Authorship Attribution of Source Code using Adversarial Learning. CoRR Erwin Quiring, Alwin Maier, Konrad Rieck
2019	B	`conf`	New Kid on the Web: A Study on the Prevalence of WebAssembly in the Wild. DIMVA Marius Musch, Christian Wressnegger, Martin Johns, Konrad Rieck
2019	—	`conf`	On the Security and Applicability of Fragile Camera Fingerprints. ESORICS (1) Erwin Quiring, Matthias Kirchner, Konrad Rieck
2019	J	`jnl`	On the Security and Applicability of Fragile Camera Fingerprints. CoRR Erwin Quiring, Matthias Kirchner, Konrad Rieck
2019	J	`jnl`	Political Elections Under (Social) Fire? Analysis and Detection of Propaganda on Twitter. CoRR Ansgar Kellner, Lisa Rangosch, Christian Wressnegger, Konrad Rieck
2019	B	`conf`	Thieves in the Browser: Web-based Cryptojacking in the Wild. ARES Marius Musch, Christian Wressnegger, Martin Johns, Konrad Rieck
2019	B	`conf`	TypeMiner: Recovering Types in Binary Programs Using Machine Learning. DIMVA Alwin Maier, Hugo Gascon, Christian Wressnegger, Konrad Rieck
2019	J	`jnl`	Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection. IEEE Trans. Dependable Secur. Comput. Ambra Demontis, Marco Melis, Battista Biggio, Davide Maiorca, Daniel Arp, Konrad Rieck, Igino Corona, Giorgio Giacinto, Fabio Roli
2018	—	`conf`	Adversarial Machine Learning Against Digital Watermarking. EUSIPCO Erwin Quiring, Konrad Rieck
2018	—	`conf`	Family Reunion: Adversarial Machine Learning meets Digital Watermarking. MPS@CCS Konrad Rieck
2018	A	`conf`	Forgotten Siblings: Unifying Attacks on Machine Learning and Digital Watermarking. EuroS&P Erwin Quiring, Daniel Arp, Konrad Rieck
2018	J	`jnl`	Poisoning Behavioral Malware Clustering. CoRR Battista Biggio, Konrad Rieck, Davide Ariu, Christian Wressnegger, Igino Corona, Giorgio Giacinto, Fabio Roli
2018	—	`conf`	Privacy-Enhanced Fraud Detection with Bloom Filters. SecureComm (1) Daniel Arp, Erwin Quiring, Tammo Krueger, Stanimir Dragiev, Konrad Rieck
2018	—	`ed.`	Proceedings of the 11th European Workshop on Systems Security, EuroSec@EuroSys 2018, Porto, Portugal, April 23, 2018 EuroSec@EuroSys Angelos Stavrou, Konrad Rieck
2018	A	`conf`	Reading Between the Lines: Content-Agnostic Detection of Spear-Phishing Emails. RAID Hugo Gascon, Steffen Ullrich, Benjamin Stritter, Konrad Rieck
2018	J	`jnl`	Web-based Cryptojacking in the Wild. CoRR Marius Musch, Christian Wressnegger, Martin Johns, Konrad Rieck
2018	A*	`conf`	When Coding Style Survives Compilation: De-anonymizing Programmers from Executable Binaries. NDSS Aylin Caliskan, Fabian Yamaguchi, Edwin Dauber, Richard E. Harang, Konrad Rieck, Rachel Greenstadt, Arvind Narayanan
2018	A	`conf`	ZOE: Content-Based Anomaly Detection for Industrial Control Systems. DSN Christian Wressnegger, Ansgar Kellner, Konrad Rieck
2017	J	`jnl`	64-Bit Migration Vulnerabilities. it Inf. Technol. Christian Wressnegger, Fabian Yamaguchi, Alwin Maier, Konrad Rieck
2017	A	`conf`	Automatically Inferring Malware Signatures for Anti-Virus Assisted Attacks. AsiaCCS Christian Wressnegger, Kevin Freeman, Fabian Yamaguchi, Konrad Rieck
2017	A	`conf`	Efficient and Flexible Discovery of PHP Application Vulnerabilities. EuroS&P Michael Backes, Konrad Rieck, Malte Skoruppa, Ben Stock, Fabian Yamaguchi
2017	J	`jnl`	Fraternal Twins: Unifying Attacks on Machine Learning and Digital Watermarking. CoRR Erwin Quiring, Daniel Arp, Konrad Rieck
2017	—	`conf`	Leveraging Flawed Tutorials for Seeding Large-Scale Web Vulnerability Discovery. WOOT Tommi Unruh, Bhargava Shastry, Malte Skoruppa, Federico Maggi, Konrad Rieck, Jean-Pierre Seifert, Fabian Yamaguchi
2017	J	`jnl`	Leveraging Flawed Tutorials for Seeding Large-Scale Web Vulnerability Discovery. CoRR Tommi Unruh, Bhargava Shastry, Malte Skoruppa, Federico Maggi, Konrad Rieck, Jean-Pierre Seifert, Fabian Yamaguchi
2017	—	`conf`	Looking Back on Three Years of Flash-based Malware. EUROSEC Christian Wressnegger, Konrad Rieck
2017	—	`conf`	Mining Attributed Graphs for Threat Intelligence. CODASPY Hugo Gascon, Bernd Grobauer, Thomas Schreck, Lukas Rist, Daniel Arp, Konrad Rieck
2017	A	`conf`	Privacy Threats through Ultrasonic Side Channels on Mobile Devices. EuroS&P Daniel Arp, Erwin Quiring, Christian Wressnegger, Konrad Rieck
2017	—	`conf`	Static Exploration of Taint-Style Vulnerabilities Found by Fuzzing. WOOT Bhargava Shastry, Federico Maggi, Fabian Yamaguchi, Konrad Rieck, Jean-Pierre Seifert
2017	J	`jnl`	Static Exploration of Taint-Style Vulnerabilities Found by Fuzzing. CoRR Bhargava Shastry, Federico Maggi, Fabian Yamaguchi, Konrad Rieck, Jean-Pierre Seifert
2017	A	`conf`	Static Program Analysis as a Fuzzing Aid. RAID Bhargava Shastry, Markus Leutner, Tobias Fiebig, Kashyap Thimmaraju, Fabian Yamaguchi, Konrad Rieck, Stefan Schmid, Jean-Pierre Seifert, Anja Feldmann
2017	—	`conf`	TrustJS: Trusted Client-side Execution of JavaScript. EUROSEC David Goltzsche, Colin Wulf, Divya Muthukumaran, Konrad Rieck, Peter R. Pietzuch, Rüdiger Kapitza
2017	J	`jnl`	Vulnerability analysis. it Inf. Technol. Konrad Rieck
2017	J	`jnl`	Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection. CoRR Ambra Demontis, Marco Melis, Battista Biggio, Davide Maiorca, Daniel Arp, Konrad Rieck, Igino Corona, Giorgio Giacinto, Fabio Roli
2016	B	`conf`	Comprehensive Analysis and Detection of Flash-Based Malware. DIMVA Christian Wressnegger, Fabian Yamaguchi, Daniel Arp, Konrad Rieck
2016	J	`jnl`	Die Codeanalyseplattform "Octopus". Datenschutz und Datensicherheit Fabian Yamaguchi, Konrad Rieck
2016	J	`jnl`	Fingerprinting Mobile Devices Using Personalized Configurations. Proc. Priv. Enhancing Technol. Andreas Kurtz, Hugo Gascon, Tobias Becker, Konrad Rieck, Felix C. Freiling
2016	J	`jnl`	From Malware Signatures to Anti-Virus Assisted Attacks. CoRR Christian Wressnegger, Kevin Freeman, Fabian Yamaguchi, Konrad Rieck
2016	J	`jnl`	Harry: A Tool for Measuring String Similarity. J. Mach. Learn. Res. Konrad Rieck, Christian Wressnegger
2016	B	`conf`	Monte Carlo Localization for path-based mobility in mobile wireless sensor networks. WCNC Salke Hartung, Ansgar Kellner, Konrad Rieck, Dieter Hogrefe
2016	B	`conf`	Towards Vulnerability Discovery Using Staged Program Analysis. DIMVA Bhargava Shastry, Fabian Yamaguchi, Konrad Rieck, Jean-Pierre Seifert
2016	A*	`conf`	Twice the Bits, Twice the Trouble: Vulnerabilities Induced by Migrating to 64-Bit Platforms. CCS Christian Wressnegger, Fabian Yamaguchi, Alwin Maier, Konrad Rieck
2015	A*	`conf`	Automatic Inference of Search Patterns for Taint-Style Vulnerabilities. IEEE Symposium on Security and Privacy Fabian Yamaguchi, Alwin Maier, Hugo Gascon, Konrad Rieck
2015	C	`conf`	Pulsar: Stateful Black-Box Fuzzing of Proprietary Network Protocols. SecureComm Hugo Gascon, Christian Wressnegger, Fabian Yamaguchi, Daniel Arp, Konrad Rieck
2015	A	`conf`	Torben: A Practical Side-Channel Attack for Deanonymizing Tor Communication. AsiaCCS Daniel Arp, Fabian Yamaguchi, Konrad Rieck
2015	A*	`conf`	VCCFinder: Finding Potential Vulnerabilities in Open-Source Projects to Assist Code Audits. CCS Henning Perl, Sergej Dechand, Matthew Smith, Daniel Arp, Fabian Yamaguchi, Konrad Rieck, Sascha Fahl, Yasemin Acar
2015	J	`jnl`	When Coding Style Survives Compilation: De-anonymizing Programmers from Executable Binaries. CoRR Aylin Caliskan Islam, Fabian Yamaguchi, Edwin Dauber, Richard E. Harang, Konrad Rieck, Rachel Greenstadt, Arvind Narayanan
2014	—	`conf`	Continuous Authentication on Mobile Devices by Analysis of Typing Motion Behavior. Sicherheit Hugo Gascon, Sebastian Uellenbeck, Christopher Wolf, Konrad Rieck
2014	A*	`conf`	DREBIN: Effective and Explainable Detection of Android Malware in Your Pocket. NDSS Daniel Arp, Michael Spreitzenbarth, Malte Hubner, Hugo Gascon, Konrad Rieck
2014	A*	`conf`	Modeling and Discovering Vulnerabilities with Code Property Graphs. IEEE Symposium on Security and Privacy Fabian Yamaguchi, Nico Golde, Daniel Arp, Konrad Rieck
2014	—	`conf`	Poisoning behavioral malware clustering. AISec@CCS Battista Biggio, Konrad Rieck, Davide Ariu, Christian Wressnegger, Igino Corona, Giorgio Giacinto, Fabio Roli
2014	J	`jnl`	Special issue on threat detection, analysis and defense. J. Inf. Secur. Appl. Shujun Li, Konrad Rieck, Alan Woodward
2014	J	`jnl`	Toward Supervised Anomaly Detection. CoRR Nico Görnitz, Marius Kloft, Konrad Rieck, Ulf Brefeld
2013	—	`conf`	A close look on AISec Christian Wressnegger, Guido Schwenk, Daniel Arp, Konrad Rieck
2013	A*	`conf`	Chucky: exposing missing checks in source code for vulnerability discovery. CCS Fabian Yamaguchi, Christian Wressnegger, Hugo Gascon, Konrad Rieck
2013	A	`conf`	Deobfuscating Embedded Malware Using Probable-Plaintext Attacks. RAID Christian Wressnegger, Frank Boldewin, Konrad Rieck
2013	B	`ed.`	Detection of Intrusions and Malware, and Vulnerability Assessment - 10th International Conference, DIMVA 2013, Berlin, Germany, July 18-19, 2013. Proceedings DIMVA Konrad Rieck, Patrick Stewin, Jean-Pierre Seifert
2013	—	`conf`	Off the beaten path: machine learning for offensive security. AISec Konrad Rieck
2013	—	`conf`	Structural detection of android malware using embedded call graphs. AISec Hugo Gascon, Fabian Yamaguchi, Daniel Arp, Konrad Rieck
2013	J	`jnl`	Toward Supervised Anomaly Detection. J. Artif. Intell. Res. Nico Görnitz, Marius Kloft, Konrad Rieck, Ulf Brefeld
2012	—	`conf`	Autonomous learning for detection of JavaScript attacks: vision or reality? AISec Guido Schwenk, Alexander Bikadorov, Tammo Krueger, Konrad Rieck
2012	—	`conf`	Early detection of malicious behavior in JavaScript code. AISec Kristof Schütt, Marius Kloft, Alexander Bikadorov, Konrad Rieck
2012	A	`conf`	Generalized vulnerability extrapolation using abstract syntax trees. ACSAC Fabian Yamaguchi, Markus Lottmann, Konrad Rieck
2012	J	`jnl`	Intelligent Defense against Malicious JavaScript Code. Prax. Inf.verarb. Kommun. Tammo Krueger, Konrad Rieck
2012	—	`conf`	Learning stateful models for network honeypots. AISec Tammo Krueger, Hugo Gascon, Nicole Krämer, Konrad Rieck
2012	J	`jnl`	Sally: a tool for embedding strings in vector spaces. J. Mach. Learn. Res. Konrad Rieck, Christian Wressnegger, Alexander Bikadorov
2011	—	`conf`	Adaptive Detection of Covert Communication in HTTP Requests. EC2ND Guido Schwenk, Konrad Rieck
2011	J	`jnl`	Automatic analysis of malware behavior using machine learning. J. Comput. Secur. Konrad Rieck, Philipp Trinius, Carsten Willems, Thorsten Holz
2011	—	`conf`	Computer Security and Machine Learning: Worst Enemies or Best Friends? SysSec@DIMVA Konrad Rieck
2011	J	`jnl`	Self-Learning Network Intrusion Detection. it Inf. Technol. Konrad Rieck
2011	J	`jnl`	Similarity measures for sequential data. WIREs Data Mining Knowl. Discov. Konrad Rieck
2011	A	`conf`	Smart metering de-pseudonymization. ACSAC Marek Jawurek, Martin Johns, Konrad Rieck
2011	—	`conf`	Vulnerability Extrapolation: Assisted Discovery of Vulnerabilities Using Machine Learning. WOOT Fabian Yamaguchi, Felix "FX" Lindner, Konrad Rieck
2010	—	`conf`	A Malware Instruction Set for Behavior-Based Analysis. Sicherheit Philipp Trinius, Carsten Willems, Thorsten Holz, Konrad Rieck
2010	—	`conf`	ASAP: Automatic Semantics-Aware Analysis of Network Payloads. PSDML Tammo Krueger, Nicole Krämer, Konrad Rieck
2010	J	`jnl`	Approximate Tree Kernels. J. Mach. Learn. Res. Konrad Rieck, Tammo Krueger, Ulf Brefeld, Klaus-Robert Müller
2010	Misc	`conf`	Botzilla: detecting the "phoning home" of malicious software. SAC Konrad Rieck, Guido Schwenk, Tobias Limmer, Thorsten Holz, Pavel Laskov
2010	A	`conf`	Cujo: efficient detection and prevention of drive-by-download attacks. ACSAC Konrad Rieck, Tammo Krueger, Andreas Dewald
2010	Misc	`conf`	TokDoc: a self-healing web application firewall. SAC Tammo Krueger, Christian Gehl, Konrad Rieck, Pavel Laskov
2009	—	`conf`	Active learning for network intrusion detection. AISec Nico Görnitz, Marius Kloft, Konrad Rieck, Ulf Brefeld
2009	—	`—`	Machine learning for application layer intrusion detection. Konrad Rieck
2009	J	`jnl`	Securing IMS against novel threats. Bell Labs Tech. J. Stefan Wahl, Konrad Rieck, Pavel Laskov, Peter Domschitz, Klaus-Robert Müller
2008	—	`conf`	08102 Working Group -- Requirements for Network Monitoring from an IDS Perspective. Network Attack Detection and Defense Lothar Braun, Falko Dressler, Thorsten Holz, Engin Kirda, Jan Kohlrausch, Christopher Kruegel, Tobias Limmer, Konrad Rieck, James P. G. Sterbenz
2008	—	`conf`	8102 Working Group -- Attack Taxonomy. Network Attack Detection and Defense Marc Dacier, Hervé Debar, Thorsten Holz, Engin Kirda, Jan Kohlrausch, Christopher Kruegel, Konrad Rieck, James P. G. Sterbenz
2008	—	`conf`	A Self-learning System for Detection of Anomalous SIP Messages. IPTComm Konrad Rieck, Stefan Wahl, Pavel Laskov, Peter Domschitz, Klaus-Robert Müller
2008	Misc	`conf`	Incorporation of Application Layer Protocol Syntax into Anomaly Detection. ICISS Patrick Düssel, Christian Gehl, Pavel Laskov, Konrad Rieck
2008	B	`conf`	Learning and Classification of Malware Behavior. DIMVA Konrad Rieck, Thorsten Holz, Carsten Willems, Patrick Düssel, Pavel Laskov
2008	J	`jnl`	Linear-Time Computation of Similarity Measures for Sequential Data. J. Mach. Learn. Res. Konrad Rieck, Pavel Laskov
2008	A*	`conf`	Measuring and Detecting Fast-Flux Service Networks. NDSS Thorsten Holz, Christian Gorecki, Konrad Rieck, Felix C. Freiling
2007	J	`jnl`	Language models for detection of unknown attacks in network traffic. J. Comput. Virol. Konrad Rieck, Pavel Laskov
2007	—	`conf`	Machine Learning for Intrusion Detection. NATO ASI Mining Massive Data Sets for Security Pavel Laskov, Konrad Rieck, Klaus-Robert Müller
2006	—	`conf`	Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees. NIPS Konrad Rieck, Pavel Laskov, Sören Sonnenburg
2006	B	`conf`	Detecting Unknown Network Attacks Using Language Models. DIMVA Konrad Rieck, Pavel Laskov
2006	—	`conf`	Efficient Algorithms for Similarity Measures over Sequential Data: A Look Beyond Kernels. DAGM-Symposium Konrad Rieck, Pavel Laskov, Klaus-Robert Müller
2005	Misc	`conf`	Learning Intrusion Detection: Supervised or Unsupervised?. ICIAP Pavel Laskov, Patrick Düssel, Christin Schäfer, Konrad Rieck
2005	—	`conf`	Visualization of anomaly detection using prediction sensitivity. Sicherheit Pavel Laskov, Konrad Rieck, Christin Schäfer, Klaus-Robert Müller