Erwin Quiring

Lorenzo Cavallaro

Commun. ACM, November, 2024

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

[BibT_eX]

[DOI]

Proc. Priv. Enhancing Technol., 2024

Black-Box Forgery Attacks on Semantic Watermarks for Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

Andreas Müller

Proceedings of the IEEE Security and Privacy, 2024

AI-Generated Faces in the Real World: A Large-Scale Case Study of Twitter Profile Images.

[BibT_eX]

[DOI]

Proceedings of the 27th International Symposium on Research in Attacks, 2024

2023

Lessons Learned on Machine Learning for Computer Security.

[BibT_eX]

[DOI]

Lorenzo Cavallaro

IEEE Secur. Priv., 2023

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

[BibT_eX]

[DOI]

Proceedings of the 32nd USENIX Security Symposium, 2023

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

[BibT_eX]

[DOI]

Andreas Müller

Proceedings of the Annual Computer Security Applications Conference, 2023

2022

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

[BibT_eX]

[DOI]

Lorenzo Cavallaro

Proceedings of the 31st USENIX Security Symposium, 2022

Misleading Deep-Fake Detection with GAN Fingerprints.

[BibT_eX]

[DOI]

Proceedings of the 43rd IEEE Security and Privacy, 2022

2021

On the Security of Machine Learning Beyond the Feature Space.

[BibT_eX]

[DOI]

PhD thesis, 2021

2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

Proceedings of the 29th USENIX Security Symposium, 2020

Backdooring and Poisoning Neural Networks with Image-Scaling Attacks.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE Security and Privacy Workshops, 2020

2019

Misleading Authorship Attribution of Source Code using Adversarial Learning.

[BibT_eX]

[DOI]

Alwin Maier

Proceedings of the 28th USENIX Security Symposium, 2019

On the Security and Applicability of Fragile Camera Fingerprints.

[BibT_eX]

[DOI]

Matthias Kirchner

Proceedings of the Computer Security - ESORICS 2019, 2019

2018

Privacy-Enhanced Fraud Detection with Bloom Filters.

[BibT_eX]

[DOI]

Proceedings of the Security and Privacy in Communication Networks, 2018

Adversarial Machine Learning Against Digital Watermarking.

[BibT_eX]

[DOI]

Proceedings of the 26th European Signal Processing Conference, 2018

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

[BibT_eX]

[DOI]

Daniel Arp

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

2017

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

[BibT_eX]

[DOI]

Daniel Arp

CoRR, 2017

Privacy Threats through Ultrasonic Side Channels on Mobile Devices.

[BibT_eX]

[DOI]

Daniel Arp

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

2015

Fragile sensor fingerprint camera identification.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]