| 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 | 80 | 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 | 77 | 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 | 77 | 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 | 71 | 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 | 53 | 2020 |
| Backdooring and poisoning neural networks with image-scaling attacks E Quiring, K Rieck 2020 IEEE Security and Privacy Workshops (SPW), 41-47, 2020 | 45 | 2020 |
| Fragile sensor fingerprint camera identification E Quiring, M Kirchner 2015 IEEE International Workshop on Information Forensics and Security (WIFS …, 2015 | 27 | 2015 |
| Adversarial Machine Learning Against Digital Watermarking E Quiring, K Rieck 2018 26th European Signal Processing Conference (EUSIPCO), 519-523, 2018 | 14 | 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 | 5 | 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 | 5 | 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 | 4 | 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 | 3 | 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 | | 2022 |
| Misleading Deep-Fake Detection with GAN Fingerprints V Wesselkamp, K Rieck, D Arp, E Quiring arXiv preprint arXiv:2205.12543, 2022 | | 2022 |
| On the Security of Machine Learning Beyond the Feature Space E Quiring | | 2021 |
| 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 | | 2014 |
| DLS 2019 Organization N Vasiloglou, K Rieck, B Biggio, R Perdisci, I Goodfellow, D Evans, ... | | |
Konrad RieckTechnische Universität BerlinVerified email at tu-berlin.de
