Erwin Quiring

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 27

Top Topics

Machine Learning

Top Venues

USENIX Security Symposium

Publications

Andreas Müller, Erwin Quiring
The Impact of Uniform Inputs on Activation Sparsity and Energy-Latency Attacks in Computer Vision. CoRR (2024)
Andreas Müller, Erwin Quiring
The Impact of Uniform Inputs on Activation Sparsity and Energy-Latency Attacks in Computer Vision. SP (Workshops) (2024)
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 (2024)
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) (2024)
Erwin Quiring, Andreas Müller, Konrad Rieck
On the Detection of Image-Scaling Attacks in Machine Learning. ACSAC (2023)
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) (2023)
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 (2023)
Erwin Quiring, Andreas Müller, Konrad Rieck
On the Detection of Image-Scaling Attacks in Machine Learning. CoRR (2023)
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)
Vera Wesselkamp, Konrad Rieck, Daniel Arp, Erwin Quiring
Misleading Deep-Fake Detection with GAN Fingerprints. CoRR (2022)
Vera Wesselkamp, Konrad Rieck, Daniel Arp, Erwin Quiring
Misleading Deep-Fake Detection with GAN Fingerprints. SP Workshops (2022)
Micha Horlboge, Erwin Quiring, Roland Meyer, Konrad Rieck
I still know it's you! On Challenges in Anonymizing Source Code. CoRR (2022)
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)
Erwin Quiring, Konrad Rieck
Backdooring and Poisoning Neural Networks with Image-Scaling Attacks. SP Workshops (2020)
Erwin Quiring, Lukas Pirch, Michael Reimsbach, Daniel Arp, Konrad Rieck
Against All Odds: Winning the Defense Challenge in an Evasion Competition with Diversification. CoRR (2020)
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 (2020)
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)
Erwin Quiring, Konrad Rieck
Backdooring and Poisoning Neural Networks with Image-Scaling Attacks. CoRR (2020)
Erwin Quiring, Matthias Kirchner, Konrad Rieck
On the Security and Applicability of Fragile Camera Fingerprints. ESORICS (1) (2019)
Erwin Quiring, Matthias Kirchner, Konrad Rieck
On the Security and Applicability of Fragile Camera Fingerprints. CoRR (2019)
Erwin Quiring, Alwin Maier, Konrad Rieck
Misleading Authorship Attribution of Source Code using Adversarial Learning. CoRR (2019)
Erwin Quiring, Alwin Maier, Konrad Rieck
Misleading Authorship Attribution of Source Code using Adversarial Learning. USENIX Security Symposium (2019)
Daniel Arp, Erwin Quiring, Tammo Krueger, Stanimir Dragiev, Konrad Rieck
Privacy-Enhanced Fraud Detection with Bloom Filters. SecureComm (1) (2018)
Erwin Quiring, Daniel Arp, Konrad Rieck
Forgotten Siblings: Unifying Attacks on Machine Learning and Digital Watermarking. EuroS&P (2018)
Erwin Quiring, Konrad Rieck
Adversarial Machine Learning Against Digital Watermarking. EUSIPCO (2018)
Erwin Quiring, Daniel Arp, Konrad Rieck
Fraternal Twins: Unifying Attacks on Machine Learning and Digital Watermarking. CoRR (2017)
Daniel Arp, Erwin Quiring, Christian Wressnegger, Konrad Rieck
Privacy Threats through Ultrasonic Side Channels on Mobile Devices. EuroS&P (2017)
Erwin Quiring, Matthias Kirchner
Fragile sensor fingerprint camera identification. WIFS (2015)
Erwin Quiring, Pascal Schöttle
On the combination of randomized thresholds and non-parametric boundaries to protect digital watermarks against sensitivity attacks. IH&MMSec (2014)