Konrad Rieck

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 93

Top Venues

CoRR

EuroS&P

USENIX Security Symposium

DIMVA

Berlin Institute of Technology (PHD)

Education History

Berlin Institute of Technology

PHD

Publications

Robin Kirchner, Jonas Möller, Marius Musch, David Klein, Konrad Rieck, Martin Johns
Dancer in the Dark: Synthesizing and Evaluating Polyglots for Blind Cross-Site Scripting. USENIX Security Symposium (2024)
Dilyara Bareeva, Marina M.-C. Höhne, Alexander Warnecke, Lukas Pirch, Klaus-Robert Müller, Konrad Rieck, Kirill Bykov
Manipulating Feature Visualizations with Gradient Slingshots. CoRR (2024)
Felix Weissberg, Jonas Möller, Tom Ganz, Erik Imgrund, Lukas Pirch, Lukas Seidel, Moritz Schloegel, Thorsten Eisenhofer, Konrad Rieck
SoK: Where to Fuzz? Assessing Target Selection Methods in Directed Fuzzing. AsiaCCS (2024)
Alwin Maier, Felix Weißberg, Konrad Rieck
On the Role of Pre-trained Embeddings in Binary Code Analysis. AsiaCCS (2024)
Moritz Pfister, Robert Michael, Max Boll, Cosima Körfer, Konrad Rieck, Daniel Arp
Listening Between the Bits: Privacy Leaks in Audio Fingerprints. DIMVA (2024)
Micha Horlboge, Erwin Quiring, Roland Meyer, Konrad Rieck
I still know it's you! On Challenges in Anonymizing Source Code. Proc. Priv. Enhancing Technol. 2024 (3) (2024)
Jonas Möller, Felix Weißberg, Lukas Pirch, Thorsten Eisenhofer, Konrad Rieck
Cross-Language Differential Testing of JSON Parsers. AsiaCCS (2024)
Konrad Rieck
When Papers Choose Their Reviewers: Adversarial Machine Learning in Peer Review. ARTMAN@CCS (2023)
Tom Ganz, Philipp Rall, Martin Härterich, Konrad Rieck
Hunting for Truth: Analyzing Explanation Methods in Learning-based Vulnerability Discovery. EuroS&P (2023)
Erwin Quiring, Andreas Müller, Konrad Rieck
On the Detection of Image-Scaling Attacks in Machine Learning. ACSAC (2023)
Lukas Seidel, Sedick David Baker Effendi, Xavier Pinho, Konrad Rieck, Brink van der Merwe, Fabian Yamaguchi
Learning Type Inference for Enhanced Dataflow Analysis. ESORICS (4) (2023)
Lukas Seidel, Sedick David Baker Effendi, Xavier Pinho, Konrad Rieck, Brink van der Merwe, Fabian Yamaguchi
Learning Type Inference for Enhanced Dataflow Analysis. CoRR (2023)
Tom Ganz, Inaam Ashraf, Martin Härterich, Konrad Rieck
Detecting Backdoors in Collaboration Graphs of Software Repositories. CODASPY (2023)
Alexander Warnecke, Lukas Pirch, Christian Wressnegger, Konrad Rieck
Machine Unlearning of Features and Labels. NDSS (2023)
Stefan Czybik, Micha Horlboge, Konrad Rieck
Lazy Gatekeepers: A Large-Scale Study on SPF Configuration in the Wild. IMC (2023)
Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck
Lessons Learned on Machine Learning for Computer Security. IEEE Secur. Priv. 21 (5) (2023)
Thorsten Eisenhofer, Erwin Quiring, Jonas Möller, Doreen Riepel, Thorsten Holz, Konrad Rieck
No more Reviewer #2: Subverting Automatic Paper-Reviewer Assignment using Adversarial Learning. CoRR (2023)
Erwin Quiring, Andreas Müller, Konrad Rieck
On the Detection of Image-Scaling Attacks in Machine Learning. CoRR (2023)
Tom Ganz, Erik Imgrund, Martin Härterich, Konrad Rieck
CodeGraphSMOTE - Data Augmentation for Vulnerability Discovery. DBSec (2023)
Erik Imgrund, Tom Ganz, Martin Härterich, Lukas Pirch, Niklas Risse, Konrad Rieck
Broken Promises: Measuring Confounding Effects in Learning-based Vulnerability Discovery. AISec@CCS (2023)
Alexander Warnecke, Julian Speith, Jan-Niklas Möller, Konrad Rieck, Christof Paar
Evil from Within: Machine Learning Backdoors through Hardware Trojans. CoRR (2023)
Thorsten Eisenhofer, Erwin Quiring, Jonas Möller, Doreen Riepel, Thorsten Holz, Konrad Rieck
No more Reviewer #2: Subverting Automatic Paper-Reviewer Assignment using Adversarial Learning. USENIX Security Symposium (2023)
Tom Ganz, Erik Imgrund, Martin Härterich, Konrad Rieck
PAVUDI: Patch-based Vulnerability Discovery using Machine Learning. ACSAC (2023)
Vera Wesselkamp, Konrad Rieck, Daniel Arp, Erwin Quiring
Misleading Deep-Fake Detection with GAN Fingerprints. CoRR (2022)
Vera Wesselkamp, Konrad Rieck, Daniel Arp, Erwin Quiring
Misleading Deep-Fake Detection with GAN Fingerprints. SP Workshops (2022)
Battista Biggio, Nicholas Carlini, Pavel Laskov, Konrad Rieck, Antonio Emanuele Cinà
Security of Machine Learning (Dagstuhl Seminar 22281). Dagstuhl Reports 12 (7) (2022)
Micha Horlboge, Erwin Quiring, Roland Meyer, Konrad Rieck
I still know it's you! On Challenges in Anonymizing Source Code. CoRR (2022)
Stefan Czybik, Daniel Arp, Konrad Rieck
Quantifying the Risk of Wormhole Attacks on Bluetooth Contact Tracing. CODASPY (2022)
Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck
Dos and Don'ts of Machine Learning in Computer Security. USENIX Security Symposium (2022)
Jan Malte Hilgefort, Daniel Arp, Konrad Rieck
Spying through Virtual Backgrounds of Video Calls. AISec@CCS (2021)
Alexander Warnecke, Lukas Pirch, Christian Wressnegger, Konrad Rieck
Machine Unlearning of Features and Labels. CoRR (2021)
Lukas Pirch, Alexander Warnecke, Christian Wressnegger, Konrad Rieck
TagVet: Vetting Malware Tags using Explainable Machine Learning. EuroSec@EuroSys (2021)
André Noll Barreto, Stefan Köpsell, Arsenia Chorti, Bertram Poettering, Jens Jelitto, Julia Hesse, Jonathan Boole, Konrad Rieck, Marios Kountouris, Dave Singelée, Kumar Ashwinee
Towards Intelligent Context-Aware 6G Security. CoRR (2021)
Niclas Kühnapfel, Stefan Preußler, Maximilian Noppel, Thomas Schneider, Konrad Rieck, Christian Wressnegger
LaserShark: Establishing Fast, Bidirectional Communication into Air-Gapped Systems. ACSAC (2021)
Tom Ganz, Martin Härterich, Alexander Warnecke, Konrad Rieck
Explaining Graph Neural Networks for Vulnerability Discovery. AISec@CCS (2021)
Alexandra Dirksen, David Klein, Robert Michael, Tilman Stehr, Konrad Rieck, Martin Johns
LogPicker: Strengthening Certificate Transparency Against Covert Adversaries. Proc. Priv. Enhancing Technol. 2021 (4) (2021)
Niclas Kühnapfel, Stefan Preußler, Maximilian Noppel, Thomas Schneider, Konrad Rieck, Christian Wressnegger
LaserShark: Establishing Fast, Bidirectional Communication into Air-Gapped Systems. CoRR (2021)
Alexander Warnecke, Daniel Arp, Christian Wressnegger, Konrad Rieck
Evaluating Explanation Methods for Deep Learning in Security. EuroS&P (2020)
Erwin Quiring, Konrad Rieck
Backdooring and Poisoning Neural Networks with Image-Scaling Attacks. SP Workshops (2020)
Ansgar Kellner, Christian Wressnegger, Konrad Rieck
What's all that noise: analysis and detection of propaganda on Twitter. EuroSec@EuroSys (2020)
Erwin Quiring, Lukas Pirch, Michael Reimsbach, Daniel Arp, Konrad Rieck
Against All Odds: Winning the Defense Challenge in an Evasion Competition with Diversification. CoRR (2020)
Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck
Dos and Don'ts of Machine Learning in Computer Security. CoRR (2020)
Michele Scalas, Konrad Rieck, Giorgio Giacinto
Explanation-Driven Characterization of Android Ransomware. ICPR Workshops (3) (2020)
Erwin Quiring, David Klein, Daniel Arp, Martin Johns, Konrad Rieck
Adversarial Preprocessing: Understanding and Preventing Image-Scaling Attacks in Machine Learning. USENIX Security Symposium (2020)
Erwin Quiring, Konrad Rieck
Backdooring and Poisoning Neural Networks with Image-Scaling Attacks. CoRR (2020)
Alexander Warnecke, Daniel Arp, Christian Wressnegger, Konrad Rieck
Don't Paint It Black: White-Box Explanations for Deep Learning in Computer Security. CoRR (2019)
Erwin Quiring, Matthias Kirchner, Konrad Rieck
On the Security and Applicability of Fragile Camera Fingerprints. ESORICS (1) (2019)
Alwin Maier, Hugo Gascon, Christian Wressnegger, Konrad Rieck
TypeMiner: Recovering Types in Binary Programs Using Machine Learning. DIMVA (2019)
Ambra Demontis, Marco Melis, Battista Biggio, Davide Maiorca, Daniel Arp, Konrad Rieck, Igino Corona, Giorgio Giacinto, Fabio Roli
Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection. IEEE Trans. Dependable Secur. Comput. 16 (4) (2019)
Erwin Quiring, Matthias Kirchner, Konrad Rieck
On the Security and Applicability of Fragile Camera Fingerprints. CoRR (2019)
Erwin Quiring, Alwin Maier, Konrad Rieck
Misleading Authorship Attribution of Source Code using Adversarial Learning. CoRR (2019)
Marius Musch, Christian Wressnegger, Martin Johns, Konrad Rieck
New Kid on the Web: A Study on the Prevalence of WebAssembly in the Wild. DIMVA (2019)
Marius Musch, Christian Wressnegger, Martin Johns, Konrad Rieck
Thieves in the Browser: Web-based Cryptojacking in the Wild. ARES (2019)
Ansgar Kellner, Micha Horlboge, Konrad Rieck, Christian Wressnegger
False Sense of Security: A Study on the Effectivity of Jailbreak Detection in Banking Apps. EuroS&P (2019)
Ansgar Kellner, Lisa Rangosch, Christian Wressnegger, Konrad Rieck
Political Elections Under (Social) Fire? Analysis and Detection of Propaganda on Twitter. CoRR (2019)
Erwin Quiring, Alwin Maier, Konrad Rieck
Misleading Authorship Attribution of Source Code using Adversarial Learning. USENIX Security Symposium (2019)
Daniel Arp, Erwin Quiring, Tammo Krueger, Stanimir Dragiev, Konrad Rieck
Privacy-Enhanced Fraud Detection with Bloom Filters. SecureComm (1) (2018)
Konrad Rieck
Family Reunion: Adversarial Machine Learning meets Digital Watermarking. MPS@CCS (2018)
Battista Biggio, Konrad Rieck, Davide Ariu, Christian Wressnegger, Igino Corona, Giorgio Giacinto, Fabio Roli
Poisoning Behavioral Malware Clustering. CoRR (2018)
Christian Wressnegger, Ansgar Kellner, Konrad Rieck
ZOE: Content-Based Anomaly Detection for Industrial Control Systems. DSN (2018)
Hugo Gascon, Steffen Ullrich, Benjamin Stritter, Konrad Rieck
Reading Between the Lines: Content-Agnostic Detection of Spear-Phishing Emails. RAID (2018)
Erwin Quiring, Daniel Arp, Konrad Rieck
Forgotten Siblings: Unifying Attacks on Machine Learning and Digital Watermarking. EuroS&P (2018)
Aylin Caliskan, Fabian Yamaguchi, Edwin Dauber, Richard E. Harang, Konrad Rieck, Rachel Greenstadt, Arvind Narayanan
When Coding Style Survives Compilation: De-anonymizing Programmers from Executable Binaries. NDSS (2018)
Erwin Quiring, Konrad Rieck
Adversarial Machine Learning Against Digital Watermarking. EUSIPCO (2018)
Marius Musch, Christian Wressnegger, Martin Johns, Konrad Rieck
Web-based Cryptojacking in the Wild. CoRR (2018)
Tommi Unruh, Bhargava Shastry, Malte Skoruppa, Federico Maggi, Konrad Rieck, Jean-Pierre Seifert, Fabian Yamaguchi
Leveraging Flawed Tutorials for Seeding Large-Scale Web Vulnerability Discovery. CoRR (2017)
Hugo Gascon, Bernd Grobauer, Thomas Schreck, Lukas Rist, Daniel Arp, Konrad Rieck
Mining Attributed Graphs for Threat Intelligence. CODASPY (2017)
Christian Wressnegger, Konrad Rieck
Looking Back on Three Years of Flash-based Malware. EUROSEC (2017)
Erwin Quiring, Daniel Arp, Konrad Rieck
Fraternal Twins: Unifying Attacks on Machine Learning and Digital Watermarking. CoRR (2017)
Ambra Demontis, Marco Melis, Battista Biggio, Davide Maiorca, Daniel Arp, Konrad Rieck, Igino Corona, Giorgio Giacinto, Fabio Roli
Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection. CoRR (2017)
Bhargava Shastry, Markus Leutner, Tobias Fiebig, Kashyap Thimmaraju, Fabian Yamaguchi, Konrad Rieck, Stefan Schmid, Jean-Pierre Seifert, Anja Feldmann
Static Program Analysis as a Fuzzing Aid. RAID (2017)
Bhargava Shastry, Federico Maggi, Fabian Yamaguchi, Konrad Rieck, Jean-Pierre Seifert
Static Exploration of Taint-Style Vulnerabilities Found by Fuzzing. CoRR (2017)
Michael Backes, Konrad Rieck, Malte Skoruppa, Ben Stock, Fabian Yamaguchi
Efficient and Flexible Discovery of PHP Application Vulnerabilities. EuroS&P (2017)
Tommi Unruh, Bhargava Shastry, Malte Skoruppa, Federico Maggi, Konrad Rieck, Jean-Pierre Seifert, Fabian Yamaguchi
Leveraging Flawed Tutorials for Seeding Large-Scale Web Vulnerability Discovery. WOOT (2017)
Christian Wressnegger, Kevin Freeman, Fabian Yamaguchi, Konrad Rieck
Automatically Inferring Malware Signatures for Anti-Virus Assisted Attacks. AsiaCCS (2017)
David Goltzsche, Colin Wulf, Divya Muthukumaran, Konrad Rieck, Peter R. Pietzuch, Rüdiger Kapitza
TrustJS: Trusted Client-side Execution of JavaScript. EUROSEC (2017)
Bhargava Shastry, Federico Maggi, Fabian Yamaguchi, Konrad Rieck, Jean-Pierre Seifert
Static Exploration of Taint-Style Vulnerabilities Found by Fuzzing. WOOT (2017)
Konrad Rieck
Vulnerability analysis. it Inf. Technol. 59 (2) (2017)
Daniel Arp, Erwin Quiring, Christian Wressnegger, Konrad Rieck
Privacy Threats through Ultrasonic Side Channels on Mobile Devices. EuroS&P (2017)
Christian Wressnegger, Fabian Yamaguchi, Alwin Maier, Konrad Rieck
64-Bit Migration Vulnerabilities. it Inf. Technol. 59 (2) (2017)
Salke Hartung, Ansgar Kellner, Konrad Rieck, Dieter Hogrefe
Monte Carlo Localization for path-based mobility in mobile wireless sensor networks. WCNC (2016)
Christian Wressnegger, Fabian Yamaguchi, Daniel Arp, Konrad Rieck
Comprehensive Analysis and Detection of Flash-Based Malware. DIMVA (2016)
Christian Wressnegger, Kevin Freeman, Fabian Yamaguchi, Konrad Rieck
From Malware Signatures to Anti-Virus Assisted Attacks. CoRR (2016)
Andreas Kurtz, Hugo Gascon, Tobias Becker, Konrad Rieck, Felix C. Freiling
Fingerprinting Mobile Devices Using Personalized Configurations. Proc. Priv. Enhancing Technol. 2016 (1) (2016)
Konrad Rieck, Christian Wressnegger
Harry: A Tool for Measuring String Similarity. J. Mach. Learn. Res. 17 (2016)
Fabian Yamaguchi, Konrad Rieck
Die Codeanalyseplattform "Octopus". Datenschutz und Datensicherheit 40 (11) (2016)
Bhargava Shastry, Fabian Yamaguchi, Konrad Rieck, Jean-Pierre Seifert
Towards Vulnerability Discovery Using Staged Program Analysis. DIMVA (2016)
Christian Wressnegger, Fabian Yamaguchi, Alwin Maier, Konrad Rieck
Twice the Bits, Twice the Trouble: Vulnerabilities Induced by Migrating to 64-Bit Platforms. CCS (2016)
Hugo Gascon, Christian Wressnegger, Fabian Yamaguchi, Daniel Arp, Konrad Rieck
Pulsar: Stateful Black-Box Fuzzing of Proprietary Network Protocols. SecureComm (2015)
Daniel Arp, Fabian Yamaguchi, Konrad Rieck
Torben: A Practical Side-Channel Attack for Deanonymizing Tor Communication. AsiaCCS (2015)
Aylin Caliskan Islam, Fabian Yamaguchi, Edwin Dauber, Richard E. Harang, Konrad Rieck, Rachel Greenstadt, Arvind Narayanan
When Coding Style Survives Compilation: De-anonymizing Programmers from Executable Binaries. CoRR (2015)
Fabian Yamaguchi, Alwin Maier, Hugo Gascon, Konrad Rieck
Automatic Inference of Search Patterns for Taint-Style Vulnerabilities. IEEE Symposium on Security and Privacy (2015)
Henning Perl, Sergej Dechand, Matthew Smith, Daniel Arp, Fabian Yamaguchi, Konrad Rieck, Sascha Fahl, Yasemin Acar
VCCFinder: Finding Potential Vulnerabilities in Open-Source Projects to Assist Code Audits. CCS (2015)
Nico Görnitz, Marius Kloft, Konrad Rieck, Ulf Brefeld
Toward Supervised Anomaly Detection. CoRR (2014)
Battista Biggio, Konrad Rieck, Davide Ariu, Christian Wressnegger, Igino Corona, Giorgio Giacinto, Fabio Roli
Poisoning behavioral malware clustering. AISec@CCS (2014)
Fabian Yamaguchi, Nico Golde, Daniel Arp, Konrad Rieck
Modeling and Discovering Vulnerabilities with Code Property Graphs. IEEE Symposium on Security and Privacy (2014)
Shujun Li, Konrad Rieck, Alan Woodward
Special issue on threat detection, analysis and defense. J. Inf. Secur. Appl. 19 (3) (2014)
Hugo Gascon, Sebastian Uellenbeck, Christopher Wolf, Konrad Rieck
Continuous Authentication on Mobile Devices by Analysis of Typing Motion Behavior. Sicherheit (2014)
Daniel Arp, Michael Spreitzenbarth, Malte Hubner, Hugo Gascon, Konrad Rieck
DREBIN: Effective and Explainable Detection of Android Malware in Your Pocket. NDSS (2014)
Fabian Yamaguchi, Christian Wressnegger, Hugo Gascon, Konrad Rieck
Chucky: exposing missing checks in source code for vulnerability discovery. CCS (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Konrad Rieck