Konrad Rieck

Lorenzo Cavallaro

IEEE Secur. Priv., 2023

Evil from Within: Machine Learning Backdoors through Hardware Trojans.

[BibT_eX]

[DOI]

CoRR, 2023

No more Reviewer #2: Subverting Automatic Paper-Reviewer Assignment using Adversarial Learning.

[BibT_eX]

[DOI]

Proceedings of the 32nd USENIX Security Symposium, 2023

Machine Unlearning of Features and Labels.

[BibT_eX]

[DOI]

Lukas Pirch

Proceedings of the 30th Annual Network and Distributed System Security Symposium, 2023

Lazy Gatekeepers: A Large-Scale Study on SPF Configuration in the Wild.

[BibT_eX]

[DOI]

Stefan Czybik

Micha Horlboge

Sedick David Baker Effendi

Proceedings of the 2023 ACM on Internet Measurement Conference, 2023

Hunting for Truth: Analyzing Explanation Methods in Learning-based Vulnerability Discovery.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE European Symposium on Security and Privacy, 2023

Learning Type Inference for Enhanced Dataflow Analysis.

[BibT_eX]

[DOI]

Lukas Seidel

Proceedings of the Computer Security - ESORICS 2023, 2023

CodeGraphSMOTE - Data Augmentation for Vulnerability Discovery.

[BibT_eX]

[DOI]

Proceedings of the Data and Applications Security and Privacy XXXVII, 2023

Detecting Backdoors in Collaboration Graphs of Software Repositories.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth ACM Conference on Data and Application Security and Privacy, 2023

Broken Promises: Measuring Confounding Effects in Learning-based Vulnerability Discovery.

[BibT_eX]

[DOI]

Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, 2023

When Papers Choose Their Reviewers: Adversarial Machine Learning in Peer Review.

[BibT_eX]

[DOI]

Proceedings of the 2023 Workshop on Recent Advances in Resilient and Trustworthy ML Systems in Autonomous Networks, 2023

On the Detection of Image-Scaling Attacks in Machine Learning.

[BibT_eX]

[DOI]

Andreas Müller

Proceedings of the Annual Computer Security Applications Conference, 2023

PAVUDI: Patch-based Vulnerability Discovery using Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Annual Computer Security Applications Conference, 2023

2022

Security of Machine Learning (Dagstuhl Seminar 22281).

[BibT_eX]

[DOI]

Antonio Emanuele Cinà

Dagstuhl Reports, July, 2022

I still know it's you! On Challenges in Anonymizing Source Code.

[BibT_eX]

[DOI]

CoRR, 2022

Dos and Don'ts of Machine Learning in Computer Security.

[BibT_eX]

[DOI]

Lorenzo Cavallaro

Proceedings of the 31st USENIX Security Symposium, 2022

Misleading Deep-Fake Detection with GAN Fingerprints.

[BibT_eX]

[DOI]

Proceedings of the 43rd IEEE Security and Privacy, 2022

Quantifying the Risk of Wormhole Attacks on Bluetooth Contact Tracing.

[BibT_eX]

[DOI]

Stefan Czybik

Proceedings of the CODASPY '22: Twelveth ACM Conference on Data and Application Security and Privacy, Baltimore, MD, USA, April 24, 2022

2021

LogPicker: Strengthening Certificate Transparency Against Covert Adversaries.

[BibT_eX]

[DOI]

Proc. Priv. Enhancing Technol., 2021

Towards Intelligent Context-Aware 6G Security.

[BibT_eX]

[DOI]

CoRR, 2021

TagVet: Vetting Malware Tags using Explainable Machine Learning.

[BibT_eX]

[DOI]

Lukas Pirch

Proceedings of the EuroSec '21: Proceedings of the 14th European Workshop on Systems Security, 2021

Spying through Virtual Backgrounds of Video Calls.

[BibT_eX]

[DOI]

Jan Malte Hilgefort

Proceedings of the AISec@CCS 2021: Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security, 2021

Explaining Graph Neural Networks for Vulnerability Discovery.

[BibT_eX]

[DOI]

Proceedings of the AISec@CCS 2021: Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security, 2021

LaserShark: Establishing Fast, Bidirectional Communication into Air-Gapped Systems.

[BibT_eX]

[DOI]

Proceedings of the ACSAC '21: Annual Computer Security Applications Conference, Virtual Event, USA, December 6, 2021

2020

Against All Odds: Winning the Defense Challenge in an Evasion Competition with Diversification.

[BibT_eX]

[DOI]

CoRR, 2020

Adversarial Preprocessing: Understanding and Preventing Image-Scaling Attacks in Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the 29th USENIX Security Symposium, 2020

Backdooring and Poisoning Neural Networks with Image-Scaling Attacks.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE Security and Privacy Workshops, 2020

Explanation-Driven Characterization of Android Ransomware.

[BibT_eX]

[DOI]

Michele Scalas

Giorgio Giacinto

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Evaluating Explanation Methods for Deep Learning in Security.

[BibT_eX]

[DOI]

Proceedings of the IEEE European Symposium on Security and Privacy, 2020

What's all that noise: analysis and detection of propaganda on Twitter.

[BibT_eX]

[DOI]

Proceedings of the 13th European Workshop on Systems Security, 2020

2019

Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2019

Political Elections Under (Social) Fire? Analysis and Detection of Propaganda on Twitter.

[BibT_eX]

[DOI]

Lisa Rangosch

CoRR, 2019

Don't Paint It Black: White-Box Explanations for Deep Learning in Computer Security.

[BibT_eX]

[DOI]

CoRR, 2019

Misleading Authorship Attribution of Source Code using Adversarial Learning.

[BibT_eX]

[DOI]

Proceedings of the 28th USENIX Security Symposium, 2019

False Sense of Security: A Study on the Effectivity of Jailbreak Detection in Banking Apps.

[BibT_eX]

[DOI]

Micha Horlboge

Proceedings of the IEEE European Symposium on Security and Privacy, 2019

On the Security and Applicability of Fragile Camera Fingerprints.

[BibT_eX]

[DOI]

Matthias Kirchner

Proceedings of the Computer Security - ESORICS 2019, 2019

New Kid on the Web: A Study on the Prevalence of WebAssembly in the Wild.

[BibT_eX]

[DOI]

Marius Musch

Proceedings of the Detection of Intrusions and Malware, and Vulnerability Assessment, 2019

TypeMiner: Recovering Types in Binary Programs Using Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Detection of Intrusions and Malware, and Vulnerability Assessment, 2019

Thieves in the Browser: Web-based Cryptojacking in the Wild.

[BibT_eX]

[DOI]

Marius Musch

Proceedings of the 14th International Conference on Availability, Reliability and Security, 2019

2018

Web-based Cryptojacking in the Wild.

[BibT_eX]

[DOI]

Marius Musch

CoRR, 2018

Privacy-Enhanced Fraud Detection with Bloom Filters.

[BibT_eX]

[DOI]

Proceedings of the Security and Privacy in Communication Networks, 2018

Reading Between the Lines: Content-Agnostic Detection of Spear-Phishing Emails.

[BibT_eX]

[DOI]

Proceedings of the Research in Attacks, Intrusions, and Defenses, 2018

When Coding Style Survives Compilation: De-anonymizing Programmers from Executable Binaries.

[BibT_eX]

[DOI]

Proceedings of the 25th Annual Network and Distributed System Security Symposium, 2018

Adversarial Machine Learning Against Digital Watermarking.

[BibT_eX]

[DOI]

Proceedings of the 26th European Signal Processing Conference, 2018

Forgotten Siblings: Unifying Attacks on Machine Learning and Digital Watermarking.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE European Symposium on Security and Privacy, 2018

ZOE: Content-Based Anomaly Detection for Industrial Control Systems.

[BibT_eX]

[DOI]

Proceedings of the 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2018

Family Reunion: Adversarial Machine Learning meets Digital Watermarking.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Workshop on Multimedia Privacy and Security, 2018

2017

64-Bit Migration Vulnerabilities.

[BibT_eX]

[DOI]

it Inf. Technol., 2017

Vulnerability analysis.

[BibT_eX]

[DOI]

it Inf. Technol., 2017

Fraternal Twins: Unifying Attacks on Machine Learning and Digital Watermarking.

[BibT_eX]

[DOI]

CoRR, 2017

Leveraging Flawed Tutorials for Seeding Large-Scale Web Vulnerability Discovery.

[BibT_eX]

[DOI]

Proceedings of the 11th USENIX Workshop on Offensive Technologies, 2017

Static Exploration of Taint-Style Vulnerabilities Found by Fuzzing.

[BibT_eX]

[DOI]

Proceedings of the 11th USENIX Workshop on Offensive Technologies, 2017

Static Program Analysis as a Fuzzing Aid.

[BibT_eX]

[DOI]

Proceedings of the Research in Attacks, Intrusions, and Defenses, 2017

Privacy Threats through Ultrasonic Side Channels on Mobile Devices.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE European Symposium on Security and Privacy, 2017

Efficient and Flexible Discovery of PHP Application Vulnerabilities.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE European Symposium on Security and Privacy, 2017

Looking Back on Three Years of Flash-based Malware.

[BibT_eX]

[DOI]

Proceedings of the 10th European Workshop on Systems Security, 2017

TrustJS: Trusted Client-side Execution of JavaScript.

[BibT_eX]

[DOI]

Proceedings of the 10th European Workshop on Systems Security, 2017

Mining Attributed Graphs for Threat Intelligence.

[BibT_eX]

[DOI]

Proceedings of the Seventh ACM Conference on Data and Application Security and Privacy, 2017

Automatically Inferring Malware Signatures for Anti-Virus Assisted Attacks.

[BibT_eX]

[DOI]

Kevin Freeman

Proceedings of the 2017 ACM on Asia Conference on Computer and Communications Security, 2017

2016

Fingerprinting Mobile Devices Using Personalized Configurations.

[BibT_eX]

[DOI]

Proc. Priv. Enhancing Technol., 2016

Harry: A Tool for Measuring String Similarity.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2016

Die Codeanalyseplattform "Octopus".

[BibT_eX]

[DOI]

Datenschutz und Datensicherheit, 2016

From Malware Signatures to Anti-Virus Assisted Attacks.

[BibT_eX]

[DOI]

Kevin Freeman

CoRR, 2016

Monte Carlo Localization for path-based mobility in mobile wireless sensor networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Wireless Communications and Networking Conference, 2016

Comprehensive Analysis and Detection of Flash-Based Malware.

[BibT_eX]

[DOI]

Proceedings of the Detection of Intrusions and Malware, and Vulnerability Assessment, 2016

Towards Vulnerability Discovery Using Staged Program Analysis.

[BibT_eX]

[DOI]

Proceedings of the Detection of Intrusions and Malware, and Vulnerability Assessment, 2016

Twice the Bits, Twice the Trouble: Vulnerabilities Induced by Migrating to 64-Bit Platforms.

[BibT_eX]

[DOI]

Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security, 2016

2015

Automatic Inference of Search Patterns for Taint-Style Vulnerabilities.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Symposium on Security and Privacy, 2015

Pulsar: Stateful Black-Box Fuzzing of Proprietary Network Protocols.

[BibT_eX]

[DOI]

Proceedings of the Security and Privacy in Communication Networks, 2015

VCCFinder: Finding Potential Vulnerabilities in Open-Source Projects to Assist Code Audits.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security, 2015

Torben: A Practical Side-Channel Attack for Deanonymizing Tor Communication.

[BibT_eX]

[DOI]

Proceedings of the 10th ACM Symposium on Information, 2015

2014

Special issue on threat detection, analysis and defense.

[BibT_eX]

[DOI]

Shujun Li

Alan Woodward

J. Inf. Secur. Appl., 2014

Modeling and Discovering Vulnerabilities with Code Property Graphs.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Symposium on Security and Privacy, 2014

Continuous Authentication on Mobile Devices by Analysis of Typing Motion Behavior.

[BibT_eX]

[DOI]

Proceedings of the Sicherheit 2014: Sicherheit, 2014

DREBIN: Effective and Explainable Detection of Android Malware in Your Pocket.

[BibT_eX]

[DOI]

Michael Spreitzenbarth

Malte Hubner

Proceedings of the 21st Annual Network and Distributed System Security Symposium, 2014

Poisoning behavioral malware clustering.

[BibT_eX]

[DOI]

Battista Biggio

Davide Ariu

Igino Corona

Giorgio Giacinto

Fabio Roli

Proceedings of the 2014 Workshop on Artificial Intelligent and Security Workshop, 2014

2013

Toward Supervised Anomaly Detection.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2013

Deobfuscating Embedded Malware Using Probable-Plaintext Attacks.

[BibT_eX]

[DOI]

Frank Boldewin

Proceedings of the Research in Attacks, Intrusions, and Defenses, 2013

Chucky: exposing missing checks in source code for vulnerability discovery.

[BibT_eX]

[DOI]

Proceedings of the 2013 ACM SIGSAC Conference on Computer and Communications Security, 2013

A close look on <i>n</i>-grams in intrusion detection: anomaly detection vs. classification.

[BibT_eX]

[DOI]

Guido Schwenk

Proceedings of the AISec'13, 2013

Off the beaten path: machine learning for offensive security.

[BibT_eX]

[DOI]

Proceedings of the AISec'13, 2013

Structural detection of android malware using embedded call graphs.

[BibT_eX]

[DOI]

Proceedings of the AISec'13, 2013

2012

Intelligent Defense against Malicious JavaScript Code.

[BibT_eX]

[DOI]

Tammo Krueger

Prax. Inf.verarb. Kommun., 2012

Sally: a tool for embedding strings in vector spaces.

[BibT_eX]

[DOI]

Alexander Bikadorov

J. Mach. Learn. Res., 2012

Autonomous learning for detection of JavaScript attacks: vision or reality?

[BibT_eX]

[DOI]

Proceedings of the 5th ACM Workshop on Security and Artificial Intelligence, 2012

Early detection of malicious behavior in JavaScript code.

[BibT_eX]

[DOI]

Proceedings of the 5th ACM Workshop on Security and Artificial Intelligence, 2012

Learning stateful models for network honeypots.

[BibT_eX]

[DOI]

Proceedings of the 5th ACM Workshop on Security and Artificial Intelligence, 2012

Generalized vulnerability extrapolation using abstract syntax trees.

[BibT_eX]

[DOI]

Markus Lottmann

Proceedings of the 28th Annual Computer Security Applications Conference, 2012

2011

Similarity measures for sequential data.

[BibT_eX]

[DOI]

WIREs Data Mining Knowl. Discov., 2011

Automatic analysis of malware behavior using machine learning.

[BibT_eX]

[DOI]

J. Comput. Secur., 2011

Self-Learning Network Intrusion Detection.

[BibT_eX]

[DOI]

it Inf. Technol., 2011

Vulnerability Extrapolation: Assisted Discovery of Vulnerabilities Using Machine Learning.

[BibT_eX]

[DOI]

Felix "FX" Lindner

Proceedings of the 5th USENIX Workshop on Offensive Technologies, 2011

Adaptive Detection of Covert Communication in HTTP Requests.

[BibT_eX]

[DOI]

Guido Schwenk

Proceedings of the Seventh European Conference on Computer Network Defense, 2011

Computer Security and Machine Learning: Worst Enemies or Best Friends?

[BibT_eX]

[DOI]

Proceedings of the First SysSec Workshop 2011, 2011

Smart metering de-pseudonymization.

[BibT_eX]

[DOI]

Marek Jawurek

Proceedings of the Twenty-Seventh Annual Computer Security Applications Conference, 2011

2010

Approximate Tree Kernels.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2010

A Malware Instruction Set for Behavior-Based Analysis.

[BibT_eX]

[DOI]

Proceedings of the Sicherheit 2010: Sicherheit, 2010

Botzilla: detecting the "phoning home" of malicious software.

[BibT_eX]

[DOI]

Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

TokDoc: a self-healing web application firewall.

[BibT_eX]

[DOI]

Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

ASAP: Automatic Semantics-Aware Analysis of Network Payloads.

[BibT_eX]

[DOI]

Tammo Krueger

Nicole Krämer

Proceedings of the Privacy and Security Issues in Data Mining and Machine Learning, 2010

Cujo: efficient detection and prevention of drive-by-download attacks.

[BibT_eX]

[DOI]

Tammo Krueger

Andreas Dewald

Proceedings of the Twenty-Sixth Annual Computer Security Applications Conference, 2010

2009

Machine learning for application layer intrusion detection.

[BibT_eX]

[DOI]

PhD thesis, 2009

Securing IMS against novel threats.

[BibT_eX]

[DOI]

Bell Labs Tech. J., 2009

Active learning for network intrusion detection.

[BibT_eX]

[DOI]

Proceedings of the 2nd ACM Workshop on Security and Artificial Intelligence, 2009

2008

Linear-Time Computation of Similarity Measures for Sequential Data.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2008

Measuring and Detecting Fast-Flux Service Networks.

[BibT_eX]

[DOI]

Proceedings of the Network and Distributed System Security Symposium, 2008

A Self-learning System for Detection of Anomalous SIP Messages.

[BibT_eX]

[DOI]

Proceedings of the Principles, 2008

Incorporation of Application Layer Protocol Syntax into Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the Information Systems Security, 4th International Conference, 2008

Learning and Classification of Malware Behavior.

[BibT_eX]

[DOI]

Proceedings of the Detection of Intrusions and Malware, 2008

8102 Working Group -- Attack Taxonomy.

[BibT_eX]

[DOI]

Proceedings of the Perspectives Workshop: Network Attack Detection and Defense, 2.3., 2008

08102 Working Group -- Requirements for Network Monitoring from an IDS Perspective.

[BibT_eX]

[DOI]

Proceedings of the Perspectives Workshop: Network Attack Detection and Defense, 2.3., 2008

2007

Language models for detection of unknown attacks in network traffic.

[BibT_eX]

[DOI]

J. Comput. Virol., 2007

Machine Learning for Intrusion Detection.

[BibT_eX]

[DOI]

Klaus-Robert Müller

Proceedings of the Mining Massive Data Sets for Security, 2007

2006

Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees.

[BibT_eX]

[DOI]

Sören Sonnenburg

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Detecting Unknown Network Attacks Using Language Models.

[BibT_eX]

[DOI]

Proceedings of the Detection of Intrusions and Malware & Vulnerability Assessment, 2006

Efficient Algorithms for Similarity Measures over Sequential Data: A Look Beyond Kernels.

[BibT_eX]

[DOI]