Publications

Thorsten Eisenhofer*, Erwin Quiring, Jonas Möller, Doreen Riepel, Thorsten Holz, Konrad Rieck (2023). No more Reviewer #2: Subverting Automatic Paper-Reviewer Assignment using Adversarial Learning. Proc. of USENIX Security Symposium.

Cite URL

Erwin Quiring, Andreas Müller, Konrad Rieck (2023). On the Detection of Image-Scaling Attacks in Machine Learning. Proc. of Annual Computer Security Applications Conference (ACSAC).

Cite URL

Vera Wesselkamp, Konrad Rieck, Daniel Arp, Erwin Quiring (2022). Misleading Deep-Fake Detection with GAN Fingerprints. Deep Learning and Security Workshop (DLS).

Cite DOI

Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck (2022). Dos and Don'ts of Machine Learning in Computer Security. Proc. of USENIX Security Symposium.

Cite URL

Erwin Quiring (2021). On the Security of Machine Learning Beyond the Feature Space.

Cite DOI

Erwin Quiring, Konrad Rieck (2020). Backdooring and Poisoning Neural Networks with Image-Scaling Attacks. Deep Learning and Security Workshop (DLS).

Cite DOI

Erwin Quiring, Lukas Pirch, Michael Reimsbach, Daniel Arp, Konrad Rieck (2020). Against All Odds: Winning the Defense Challenge in an Evasion Competition with Diversification.

Cite arXiv

Erwin Quiring, David Klein, Daniel Arp, Martin Johns, Konrad Rieck (2020). Adversarial Preprocessing: Understanding and Preventing Image-Scaling Attacks in Machine Learning. Proc. of USENIX Security Symposium.

Cite URL

Erwin Quiring, Matthias Kirchner, Konrad Rieck (2019). On the Security and Applicability of Fragile Camera Fingerprints. Proc. of European Symposium on Research in Computer Security (ESORICS).

Cite DOI

Erwin Quiring, Alwin Maier, Konrad Rieck (2019). Misleading Authorship Attribution of Source Code using Adversarial Learning. Proc. of USENIX Security Symposium.

Cite URL

Daniel Arp, Erwin Quiring, Tammo Krueger, Stanimir Dragiev, Konrad Rieck (2018). Privacy-Enhanced Fraud Detection with Bloom Filters. Proc. of Int. Conference on Security and Privacy in Communication Networks (SECURECOMM).

Cite DOI

Erwin Quiring, Daniel Arp, Konrad Rieck (2018). Forgotten Siblings: Unifying Attacks on Machine Learning and Digital Watermarking. Proc. of IEEE European Symposium on Security and Privacy (EuroS&P).

Cite DOI

Erwin Quiring, Konrad Rieck (2018). Adversarial Machine Learning Against Digital Watermarking. European Signal Processing Conference (EUSIPCO).

Cite DOI

Daniel Arp, Erwin Quiring, Christian Wressnegger, Konrad Rieck (2017). Privacy Threats through Ultrasonic Side Channels on Mobile Devices. Proc. of IEEE European Symposium on Security and Privacy (EuroS&P).

Cite DOI

Daniel Arp, Erwin Quiring, Christian Wressnegger, Konrad Rieck (2016). Bat in the Mobile: A Study on Ultrasonic Device Tracking.

PDF Cite

Erwin Quiring, Matthias Kirchner (2015). Fragile Sensor Fingerprint Camera Identification. IEEE International Workshop on Information Forensics and Security (WIFS).

Cite DOI

Erwin Quiring, Pascal Schöttle (2014). On the Combination of Randomized Thresholds and Non-Parametric Boundaries to Protect Digital Watermarks against Sensitivity Attacks. Proc. of the ACM Workshop on Information Hiding and Multimedia Security (IH&MMSec).

Cite DOI

Matthias Carnein, Erwin Quiring, Andreas Haack, Andreas Möhring, Jörg Becker (2014). Laiengerechte Erzeugung von 3D-Animationen am Beispiel von textuellen Unfallbeschreibungen. Proc. of the International Legal Informatics Symposium (IRIS).

Cite