Erwin Quiring
Cited by
Cited by
Dos and don’ts of machine learning in computer security
D Arp, E Quiring, F Pendlebury, A Warnecke, F Pierazzi, C Wressnegger, ...
Proc. of the USENIX Security Symposium, 2022
Misleading authorship attribution of source code using adversarial learning
E Quiring, A Maier, K Rieck
28th {USENIX} Security Symposium ({USENIX} Security 19), 479-496, 2019
Privacy threats through ultrasonic side channels on mobile devices
D Arp, E Quiring, C Wressnegger, K Rieck
2017 IEEE European Symposium on Security and Privacy (EuroS&P), 35-47, 2017
Forgotten siblings: Unifying attacks on machine learning and digital watermarking
E Quiring, D Arp, K Rieck
2018 IEEE European Symposium on Security and Privacy (EuroS&P), 488-502, 2018
Adversarial Preprocessing: Understanding and Preventing Image-Scaling Attacks in Machine Learning
E Quiring, D Klein, D Arp, M Johns, K Rieck
29th {USENIX} Security Symposium ({USENIX} Security 20), 2020
Backdooring and poisoning neural networks with image-scaling attacks
E Quiring, K Rieck
2020 IEEE Security and Privacy Workshops (SPW), 41-47, 2020
Fragile sensor fingerprint camera identification
E Quiring, M Kirchner
2015 IEEE International Workshop on Information Forensics and Security (WIFS …, 2015
Adversarial Machine Learning Against Digital Watermarking
E Quiring, K Rieck
2018 26th European Signal Processing Conference (EUSIPCO), 519-523, 2018
Against All Odds: Winning the Defense Challenge in an Evasion Competition with Diversification
E Quiring, L Pirch, M Reimsbach, D Arp, K Rieck
arXiv preprint arXiv:2010.09569, 2020
On the Security and Applicability of Fragile Camera Fingerprints
E Quiring, M Kirchner, K Rieck
European Symposium on Research in Computer Security, 450-470, 2019
Bat in the Mobile: A Study on Ultrasonic Device Tracking
D Arp, E Quiring, C Wressnegger, K Rieck
Computer Science Report 2016-02, 2016
Privacy-Enhanced Fraud Detection with Bloom Filters
D Arp, E Quiring, T Krueger, S Dragiev, K Rieck
International Conference on Security and Privacy in Communication Systems …, 2018
I still know it's you! On Challenges in Anonymizing Source Code
M Horlboge, E Quiring, R Meyer, K Rieck
arXiv preprint arXiv:2208.12553, 2022
Misleading Deep-Fake Detection with GAN Fingerprints
V Wesselkamp, K Rieck, D Arp, E Quiring
arXiv preprint arXiv:2205.12543, 2022
On the Security of Machine Learning Beyond the Feature Space
E Quiring
On the combination of randomized thresholds and non-parametric boundaries to protect digital watermarks against sensitivity attacks
E Quiring, P Schöttle
Proceedings of the 2nd ACM workshop on Information hiding and multimedia …, 2014
DLS 2019 Organization
N Vasiloglou, K Rieck, B Biggio, R Perdisci, I Goodfellow, D Evans, ...
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