Daniel Arp

Lorenzo Cavallaro

Commun. ACM, November, 2024

TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (Extended Version).

[BibT_eX]

[DOI]

CoRR, 2024

Listening Between the Bits: Privacy Leaks in Audio Fingerprints.

[BibT_eX]

[DOI]

Proceedings of the Detection of Intrusions and Malware, and Vulnerability Assessment, 2024

2023

Lessons Learned on Machine Learning for Computer Security.

[BibT_eX]

[DOI]

Lorenzo Cavallaro

IEEE Secur. Priv., 2023

Drift Forensics of Malware Classifiers.

[BibT_eX]

[DOI]

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

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

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

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

Evaluating Explanation Methods for Deep Learning in Security.

[BibT_eX]

[DOI]

Alexander Warnecke

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

2019

Erkennung mobiler Schadsoftware mit maschinellen Lernverfahren.

[BibT_eX]

[DOI]

Proceedings of the Ausgezeichnete Informatikdissertationen 2019., 2019

Efficient and Explainable Detection of Mobile Malware with Machine Learning.

[BibT_eX]

[DOI]

PhD thesis, 2019

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

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2019

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

[BibT_eX]

[DOI]

Alexander Warnecke

CoRR, 2019

2018

Privacy-Enhanced Fraud Detection with Bloom Filters.

[BibT_eX]

[DOI]

Proceedings of the Security and Privacy in Communication Networks, 2018

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

[BibT_eX]

[DOI]

Erwin Quiring

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

2017

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

[BibT_eX]

[DOI]

Erwin Quiring

CoRR, 2017

Privacy Threats through Ultrasonic Side Channels on Mobile Devices.

[BibT_eX]

[DOI]

Erwin Quiring

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

Mining Attributed Graphs for Threat Intelligence.

[BibT_eX]

[DOI]

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

2016

Comprehensive Analysis and Detection of Flash-Based Malware.

[BibT_eX]

[DOI]

Fabian Yamaguchi

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

2015

Mobile-Sandbox: combining static and dynamic analysis with machine-learning techniques.

[BibT_eX]

[DOI]

Michael Spreitzenbarth

Int. J. Inf. Sec., 2015

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

[BibT_eX]

[DOI]

Hugo Gascon

Fabian Yamaguchi

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]

Fabian Yamaguchi

Proceedings of the 10th ACM Symposium on Information, 2015

2014

Modeling and Discovering Vulnerabilities with Code Property Graphs.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Michael Spreitzenbarth

Malte Hubner

Hugo Gascon

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

2013

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

[BibT_eX]

[DOI]

Guido Schwenk