Alexander Warnecke

According to our database, Alexander Warnecke authored at least 18 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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, November, 2024

Security viewpoints on explainable machine learning.

Alexander Warnecke

PhD thesis, 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

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 Hardware Trojans.

Alexander Warnecke, Julian Speith, Jan-Niklas Möller, Konrad Rieck, Christof Paar

CoRR, 2023

Machine Unlearning of Features and Labels.

Alexander Warnecke, Lukas Pirch, Christian Wressnegger, Konrad Rieck

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

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

Proceedings of the 31st USENIX Security Symposium, 2022

State of Health Estimation of Lithium-Ion Batteries for Dynamic Driving Profiles Based on Feature Extraction from Battery Relaxation Time Using Machine Learning.

Nitika Ghosh, Akhil Garg, Alexander Warnecke, Bijaya K. Panigrahi

Proceedings of the IECON 2022, 2022

2021

TagVet: Vetting Malware Tags using Explainable Machine Learning.

Lukas Pirch, Alexander Warnecke, Christian Wressnegger, Konrad Rieck

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

Concept of a Cloud State Modeling System for Lead-Acid Batteries: Theory and Prototyping.

Felix Kortmann, Daniel Brieske, Pia Piekarek, Julian Eckstein, Alexander Warnecke, Paul Drews, Dirk Uwe Sauer

Proceedings of the International Conference on Electronics, Information, and Communication, 2021

Explaining Graph Neural Networks for Vulnerability Discovery.

Tom Ganz, Martin Härterich, Alexander Warnecke, Konrad Rieck

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

2020

Applying Quarter-Vehicle Model Simulation for Road Elevation Measurements Utilizing the Vehicle Level Sensor.

Felix Kortmann, Malte Rodeheger, Alexander Warnecke, Nicolas Meier, Jens Heger, Burkhardt Funk, Paul Drews

Proceedings of the 92nd IEEE Vehicular Technology Conference, 2020

Creating Value from in-Vehicle Data: Detecting Road Surfaces and Road Hazards.

Felix Kortmann, Yi-Chen Hsu, Alexander Warnecke, Nicolas Meier, Jens Heger, Burkhardt Funk, Paul Drews

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Live Demonstration: Passive Sensor Setup for Road Condition Monitoring.

Felix Kortmann, Julin Horstkötter, Alexander Warnecke, Nicolas Meier, Jens Heger, Burkhardt Funk, Paul Drews

Proceedings of the 2020 IEEE Sensors, Rotterdam, The Netherlands, October 25-28, 2020, 2020

Evaluating Explanation Methods for Deep Learning in Security.

Alexander Warnecke, Daniel Arp, Christian Wressnegger, Konrad Rieck

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

Detecting Various Road Damage Types in Global Countries Utilizing Faster R-CNN.

Felix Kortmann, Kevin Talits, Pascal Fassmeyer, Alexander Warnecke, Nicolas Meier, Jens Heger, Paul Drews, Burkhardt Funk

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

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

2017

Convolutional Neural Networks for Movement Prediction in Videos.

Alexander Warnecke, Timo Lüddecke, Florentin Wörgötter

Proceedings of the Pattern Recognition - 39th German Conference, 2017