Erwin Quiring

38 papers A* 5A 4C 1Journal 20Unranked 7
YearRankTypeTitle / Venue / Authors
2025 A* conf
Black-Box Forgery Attacks on Semantic Watermarks for Diffusion Models.
CVPR
Andreas Müller, Denis Lukovnikov, Jonas Thietke, Asja Fischer, Erwin Quiring
2025 J jnl
Chasing Shadows: Pitfalls in LLM Security Research.
CoRR
Jonathan Evertz, Niklas Risse, Nicolai Neuer, Andreas Müller, Philipp Normann, Gaetano Sapia, Srishti Gupta, David Pape, Soumya Shaw, Devansh Srivastav, Christian Wressnegger, Erwin Quiring, Thorsten Eisenhofer, Daniel Arp, Lea Schönherr
2025 J jnl
Intriguing Properties of Adversarial ML Attacks in the Problem Space [Extended Version].
ACM Trans. Priv. Secur.
Jacopo Cortellazzi, Erwin Quiring, Daniel Arp, Feargus Pendlebury, Fabio Pierazzi, Lorenzo Cavallaro
2025 J jnl
Towards A Correct Usage of Cryptography in Semantic Watermarks for Diffusion Models.
CoRR
Jonas Thietke, Andreas Müller, Denis Lukovnikov, Asja Fischer, Erwin Quiring
2025 J jnl
Towards Robust Red-Green Watermarking for Autoregressive Image Generators.
CoRR
Denis Lukovnikov, Andreas Müller, Erwin Quiring, Asja Fischer
2024 A conf
AI-Generated Faces in the Real World: A Large-Scale Case Study of Twitter Profile Images.
RAID
Jonas Ricker, Dennis Assenmacher, Thorsten Holz, Asja Fischer, Erwin Quiring
2024 J jnl
AI-Generated Faces in the Real World: A Large-Scale Case Study of Twitter Profile Images.
CoRR
Jonas Ricker, Dennis Assenmacher, Thorsten Holz, Asja Fischer, Erwin Quiring
2024 J jnl
Black-Box Forgery Attacks on Semantic Watermarks for Diffusion Models.
CoRR
Andreas Müller, Denis Lukovnikov, Jonas Thietke, Asja Fischer, Erwin Quiring
2024 J jnl
I still know it's you! On Challenges in Anonymizing Source Code.
Proc. Priv. Enhancing Technol.
Micha Horlboge, Erwin Quiring, Roland Meyer, Konrad Rieck
2024 J jnl
Pitfalls in Machine Learning for Computer Security.
Commun. ACM
Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck
2024 — conf
The Impact of Uniform Inputs on Activation Sparsity and Energy-Latency Attacks in Computer Vision.
SP (Workshops)
Andreas Müller, Erwin Quiring
2024 J jnl
The Impact of Uniform Inputs on Activation Sparsity and Energy-Latency Attacks in Computer Vision.
CoRR
Andreas Müller, Erwin Quiring
2023 J jnl
Lessons Learned on Machine Learning for Computer Security.
IEEE Secur. Priv.
Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck
2023 A* conf
No more Reviewer #2: Subverting Automatic Paper-Reviewer Assignment using Adversarial Learning.
USENIX Security Symposium
Thorsten Eisenhofer, Erwin Quiring, Jonas Möller, Doreen Riepel, Thorsten Holz, Konrad Rieck
2023 J jnl
No more Reviewer #2: Subverting Automatic Paper-Reviewer Assignment using Adversarial Learning.
CoRR
Thorsten Eisenhofer, Erwin Quiring, Jonas Möller, Doreen Riepel, Thorsten Holz, Konrad Rieck
2023 A conf
On the Detection of Image-Scaling Attacks in Machine Learning.
ACSAC
Erwin Quiring, Andreas Müller, Konrad Rieck
2023 J jnl
On the Detection of Image-Scaling Attacks in Machine Learning.
CoRR
Erwin Quiring, Andreas Müller, Konrad Rieck
2022 A* conf
Dos and Don'ts of Machine Learning in Computer Security.
USENIX Security Symposium
Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck
2022 J jnl
I still know it's you! On Challenges in Anonymizing Source Code.
CoRR
Micha Horlboge, Erwin Quiring, Roland Meyer, Konrad Rieck
2022 — conf
Misleading Deep-Fake Detection with GAN Fingerprints.
SP (Workshops)
Vera Wesselkamp, Konrad Rieck, Daniel Arp, Erwin Quiring
2022 J jnl
Misleading Deep-Fake Detection with GAN Fingerprints.
CoRR
Vera Wesselkamp, Konrad Rieck, Daniel Arp, Erwin Quiring
2021 — —
On the Security of Machine Learning Beyond the Feature Space.
Erwin Quiring
2020 A* conf
Adversarial Preprocessing: Understanding and Preventing Image-Scaling Attacks in Machine Learning.
USENIX Security Symposium
Erwin Quiring, David Klein, Daniel Arp, Martin Johns, Konrad Rieck
2020 J jnl
Against All Odds: Winning the Defense Challenge in an Evasion Competition with Diversification.
CoRR
Erwin Quiring, Lukas Pirch, Michael Reimsbach, Daniel Arp, Konrad Rieck
2020 — conf
Backdooring and Poisoning Neural Networks with Image-Scaling Attacks.
SP (Workshops)
Erwin Quiring, Konrad Rieck
2020 J jnl
Backdooring and Poisoning Neural Networks with Image-Scaling Attacks.
CoRR
Erwin Quiring, Konrad Rieck
2020 J jnl
Dos and Don'ts of Machine Learning in Computer Security.
CoRR
Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck
2019 A* conf
Misleading Authorship Attribution of Source Code using Adversarial Learning.
USENIX Security Symposium
Erwin Quiring, Alwin Maier, Konrad Rieck
2019 J jnl
Misleading Authorship Attribution of Source Code using Adversarial Learning.
CoRR
Erwin Quiring, Alwin Maier, Konrad Rieck
2019 — conf
On the Security and Applicability of Fragile Camera Fingerprints.
ESORICS (1)
Erwin Quiring, Matthias Kirchner, Konrad Rieck
2019 J jnl
On the Security and Applicability of Fragile Camera Fingerprints.
CoRR
Erwin Quiring, Matthias Kirchner, Konrad Rieck
2018 — conf
Adversarial Machine Learning Against Digital Watermarking.
EUSIPCO
Erwin Quiring, Konrad Rieck
2018 A conf
Forgotten Siblings: Unifying Attacks on Machine Learning and Digital Watermarking.
EuroS&P
Erwin Quiring, Daniel Arp, Konrad Rieck
2018 — conf
Privacy-Enhanced Fraud Detection with Bloom Filters.
SecureComm (1)
Daniel Arp, Erwin Quiring, Tammo Krueger, Stanimir Dragiev, Konrad Rieck
2017 J jnl
Fraternal Twins: Unifying Attacks on Machine Learning and Digital Watermarking.
CoRR
Erwin Quiring, Daniel Arp, Konrad Rieck
2017 A conf
Privacy Threats through Ultrasonic Side Channels on Mobile Devices.
EuroS&P
Daniel Arp, Erwin Quiring, Christian Wressnegger, Konrad Rieck
2015 — conf
Fragile sensor fingerprint camera identification.
WIFS
Erwin Quiring, Matthias Kirchner
2014 C conf
On the combination of randomized thresholds and non-parametric boundaries to protect digital watermarks against sensitivity attacks.
IH&MMSec
Erwin Quiring, Pascal Schöttle