Erwin Quiring

According to our database, Erwin Quiring authored at least 20 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

The Impact of Uniform Inputs on Activation Sparsity and Energy-Latency Attacks in Computer Vision.

Andreas Müller, Erwin Quiring

CoRR, 2024

2023

Lessons Learned on Machine Learning for Computer Security.

Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck

IEEE Secur. Priv., 2023

No more Reviewer #2: Subverting Automatic Paper-Reviewer Assignment using Adversarial Learning.

Thorsten Eisenhofer, Erwin Quiring, Jonas Möller, Doreen Riepel, Thorsten Holz, Konrad Rieck

Proceedings of the 32nd USENIX Security Symposium, 2023

On the Detection of Image-Scaling Attacks in Machine Learning.

Erwin Quiring, Andreas Müller, Konrad Rieck

Proceedings of the Annual Computer Security Applications Conference, 2023

2022

I still know it's you! On Challenges in Anonymizing Source Code.

Micha Horlboge, Erwin Quiring, Roland Meyer, Konrad Rieck

CoRR, 2022

Dos and Don'ts of Machine Learning in Computer Security.

Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck

Proceedings of the 31st USENIX Security Symposium, 2022

Misleading Deep-Fake Detection with GAN Fingerprints.

Vera Wesselkamp, Konrad Rieck, Daniel Arp, Erwin Quiring

Proceedings of the 43rd IEEE Security and Privacy, 2022

2021

On the Security of Machine Learning Beyond the Feature Space.

Erwin Quiring

PhD thesis, 2021

2020

Against All Odds: Winning the Defense Challenge in an Evasion Competition with Diversification.

Erwin Quiring, Lukas Pirch, Michael Reimsbach, Daniel Arp, Konrad Rieck

CoRR, 2020

Adversarial Preprocessing: Understanding and Preventing Image-Scaling Attacks in Machine Learning.

Erwin Quiring, David Klein, Daniel Arp, Martin Johns, Konrad Rieck

Proceedings of the 29th USENIX Security Symposium, 2020

Backdooring and Poisoning Neural Networks with Image-Scaling Attacks.

Erwin Quiring, Konrad Rieck

Proceedings of the 2020 IEEE Security and Privacy Workshops, 2020

2019

Misleading Authorship Attribution of Source Code using Adversarial Learning.

Erwin Quiring, Alwin Maier, Konrad Rieck

Proceedings of the 28th USENIX Security Symposium, 2019

On the Security and Applicability of Fragile Camera Fingerprints.

Erwin Quiring, Matthias Kirchner, Konrad Rieck

Proceedings of the Computer Security - ESORICS 2019, 2019

2018

Privacy-Enhanced Fraud Detection with Bloom Filters.

Daniel Arp, Erwin Quiring, Tammo Krueger, Stanimir Dragiev, Konrad Rieck

Proceedings of the Security and Privacy in Communication Networks, 2018

Adversarial Machine Learning Against Digital Watermarking.

Erwin Quiring, Konrad Rieck

Proceedings of the 26th European Signal Processing Conference, 2018

Forgotten Siblings: Unifying Attacks on Machine Learning and Digital Watermarking.

Erwin Quiring, Daniel Arp, Konrad Rieck

Proceedings of the 2018 IEEE European Symposium on Security and Privacy, 2018

2017

Fraternal Twins: Unifying Attacks on Machine Learning and Digital Watermarking.

Erwin Quiring, Daniel Arp, Konrad Rieck

CoRR, 2017

Privacy Threats through Ultrasonic Side Channels on Mobile Devices.

Daniel Arp, Erwin Quiring, Christian Wressnegger, Konrad Rieck

Proceedings of the 2017 IEEE European Symposium on Security and Privacy, 2017

2015

Fragile sensor fingerprint camera identification.

Erwin Quiring, Matthias Kirchner

Proceedings of the 2015 IEEE International Workshop on Information Forensics and Security, 2015

2014

On the combination of randomized thresholds and non-parametric boundaries to protect digital watermarks against sensitivity attacks.

Erwin Quiring, Pascal Schöttle

Proceedings of the ACM Information Hiding and Multimedia Security Workshop, 2014