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ORCIDErwin Quiring
Person information
- affiliation: Ruhr University Bochum, Germany
- affiliation (PhD 2021): Braunschweig University of Technology, Germany
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2020 – today
- 2024
[j3]Daniel Arp
, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck:
Pitfalls in Machine Learning for Computer Security. Commun. ACM 67(11): 104-112 (2024)- [j2]Micha Horlboge, Erwin Quiring, Roland Meyer, Konrad Rieck:
I still know it's you! On Challenges in Anonymizing Source Code. Proc. Priv. Enhancing Technol. 2024(3): 744-760 (2024) - [c16]Jonas Ricker, Dennis Assenmacher, Thorsten Holz, Asja Fischer, Erwin Quiring:
AI-Generated Faces in the Real World: A Large-Scale Case Study of Twitter Profile Images. RAID 2024: 513-530 - [c15]Andreas Müller, Erwin Quiring:
The Impact of Uniform Inputs on Activation Sparsity and Energy-Latency Attacks in Computer Vision. SP (Workshops) 2024: 104-111 - [i12]Andreas Müller, Erwin Quiring:
The Impact of Uniform Inputs on Activation Sparsity and Energy-Latency Attacks in Computer Vision. CoRR abs/2403.18587 (2024) - [i11]Jonas Ricker, Dennis Assenmacher, Thorsten Holz, Asja Fischer, Erwin Quiring:
AI-Generated Faces in the Real World: A Large-Scale Case Study of Twitter Profile Images. CoRR abs/2404.14244 (2024) - 2023
- [j1]Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck:
Lessons Learned on Machine Learning for Computer Security. IEEE Secur. Priv. 21(5): 72-77 (2023) - [c14]Erwin Quiring, Andreas Müller, Konrad Rieck:
On the Detection of Image-Scaling Attacks in Machine Learning. ACSAC 2023: 506-520 - [c13]Thorsten Eisenhofer, Erwin Quiring, Jonas Möller, Doreen Riepel, Thorsten Holz, Konrad Rieck:
No more Reviewer #2: Subverting Automatic Paper-Reviewer Assignment using Adversarial Learning. USENIX Security Symposium 2023: 5109-5126 - [i10]Thorsten Eisenhofer, Erwin Quiring, Jonas Möller, Doreen Riepel, Thorsten Holz, Konrad Rieck:
No more Reviewer #2: Subverting Automatic Paper-Reviewer Assignment using Adversarial Learning. CoRR abs/2303.14443 (2023) - [i9]Erwin Quiring, Andreas Müller, Konrad Rieck:
On the Detection of Image-Scaling Attacks in Machine Learning. CoRR abs/2310.15085 (2023) - 2022
- [c12]Vera Wesselkamp, Konrad Rieck, Daniel Arp, Erwin Quiring:
Misleading Deep-Fake Detection with GAN Fingerprints. SP (Workshops) 2022: 59-65 - [c11]Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck:
Dos and Don'ts of Machine Learning in Computer Security. USENIX Security Symposium 2022: 3971-3988 - [i8]Vera Wesselkamp, Konrad Rieck, Daniel Arp, Erwin Quiring:
Misleading Deep-Fake Detection with GAN Fingerprints. CoRR abs/2205.12543 (2022) - [i7]Micha Horlboge, Erwin Quiring, Roland Meyer, Konrad Rieck:
I still know it's you! On Challenges in Anonymizing Source Code. CoRR abs/2208.12553 (2022) - 2021
- [b1]Erwin Quiring:
On the Security of Machine Learning Beyond the Feature Space. Braunschweig University of Technology, Germany, 2021 - 2020
- [c10]Erwin Quiring, Konrad Rieck:
Backdooring and Poisoning Neural Networks with Image-Scaling Attacks. SP (Workshops) 2020: 41-47 - [c9]Erwin Quiring, David Klein, Daniel Arp, Martin Johns, Konrad Rieck:
Adversarial Preprocessing: Understanding and Preventing Image-Scaling Attacks in Machine Learning. USENIX Security Symposium 2020: 1363-1380 - [i6]Erwin Quiring, Konrad Rieck:
Backdooring and Poisoning Neural Networks with Image-Scaling Attacks. CoRR abs/2003.08633 (2020) - [i5]Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck:
Dos and Don'ts of Machine Learning in Computer Security. CoRR abs/2010.09470 (2020) - [i4]Erwin Quiring, Lukas Pirch, Michael Reimsbach, Daniel Arp, Konrad Rieck:
Against All Odds: Winning the Defense Challenge in an Evasion Competition with Diversification. CoRR abs/2010.09569 (2020)
2010 – 2019
- 2019
- [c8]Erwin Quiring, Matthias Kirchner, Konrad Rieck:
On the Security and Applicability of Fragile Camera Fingerprints. ESORICS (1) 2019: 450-470 - [c7]Erwin Quiring, Alwin Maier, Konrad Rieck:
Misleading Authorship Attribution of Source Code using Adversarial Learning. USENIX Security Symposium 2019: 479-496 - [i3]Erwin Quiring, Alwin Maier, Konrad Rieck:
Misleading Authorship Attribution of Source Code using Adversarial Learning. CoRR abs/1905.12386 (2019) - [i2]Erwin Quiring, Matthias Kirchner, Konrad Rieck:
On the Security and Applicability of Fragile Camera Fingerprints. CoRR abs/1907.04025 (2019) - 2018
- [c6]Erwin Quiring, Daniel Arp, Konrad Rieck:
Forgotten Siblings: Unifying Attacks on Machine Learning and Digital Watermarking. EuroS&P 2018: 488-502 - [c5]Erwin Quiring, Konrad Rieck:
Adversarial Machine Learning Against Digital Watermarking. EUSIPCO 2018: 519-523 - [c4]Daniel Arp, Erwin Quiring, Tammo Krueger, Stanimir Dragiev, Konrad Rieck:
Privacy-Enhanced Fraud Detection with Bloom Filters. SecureComm (1) 2018: 396-415 - 2017
- [c3]Daniel Arp, Erwin Quiring, Christian Wressnegger, Konrad Rieck:
Privacy Threats through Ultrasonic Side Channels on Mobile Devices. EuroS&P 2017: 35-47 - [i1]Erwin Quiring, Daniel Arp, Konrad Rieck:
Fraternal Twins: Unifying Attacks on Machine Learning and Digital Watermarking. CoRR abs/1703.05561 (2017) - 2015
- [c2]Erwin Quiring, Matthias Kirchner:
Fragile sensor fingerprint camera identification. WIFS 2015: 1-6 - 2014
- [c1]Erwin Quiring, Pascal Schöttle:
On the combination of randomized thresholds and non-parametric boundaries to protect digital watermarks against sensitivity attacks. IH&MMSec 2014: 41-48
Coauthor Index
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last updated on 2024-11-07 21:35 CET by the dblp team
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