Nils Lukas

According to our database, Nils Lukas authored at least 16 papers between 2019 and 2024.

Collaborative distances:

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

2024

Optimizing Adaptive Attacks against Content Watermarks for Language Models.

Abdulrahman Diaa, Toluwani Aremu, Nils Lukas

CoRR, 2024

PEPSI: Practically Efficient Private Set Intersection in the Unbalanced Setting.

Rasoul Akhavan Mahdavi, Nils Lukas, Faezeh Ebrahimianghazani, Thomas Humphries, Bailey Kacsmar, John A. Premkumar, Xinda Li, Simon Oya, Ehsan Amjadian, Florian Kerschbaum

Proceedings of the 33rd USENIX Security Symposium, 2024

Fast and Private Inference of Deep Neural Networks by Co-designing Activation Functions.

Abdulrahman Diaa, Lucas Fenaux, Thomas Humphries, Marian Dietz, Faezeh Ebrahimianghazani, Bailey Kacsmar, Xinda Li, Nils Lukas, Rasoul Akhavan Mahdavi, Simon Oya, Ehsan Amjadian, Florian Kerschbaum

Proceedings of the 33rd USENIX Security Symposium, 2024

Universal Backdoor Attacks.

Benjamin Schneider, Nils Lukas, Florian Kerschbaum

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Leveraging Optimization for Adaptive Attacks on Image Watermarks.

Nils Lukas, Abdulrahman Diaa, Lucas Fenaux, Florian Kerschbaum

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Privacy-Preserving Machine Learning [Cryptography].

Florian Kerschbaum, Nils Lukas

IEEE Secur. Priv., 2023

Pick your Poison: Undetectability versus Robustness in Data Poisoning Attacks against Deep Image Classification.

Nils Lukas, Florian Kerschbaum

CoRR, 2023

PTW: Pivotal Tuning Watermarking for Pre-Trained Image Generators.

Nils Lukas, Florian Kerschbaum

Proceedings of the 32nd USENIX Security Symposium, 2023

Analyzing Leakage of Personally Identifiable Information in Language Models.

Nils Lukas, Ahmed Salem, Robert Sim, Shruti Tople, Lukas Wutschitz, Santiago Zanella Béguelin

Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

2022

SoK: How Robust is Image Classification Deep Neural Network Watermarking?

Nils Lukas, Edward Jiang, Xinda Li, Florian Kerschbaum

Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

2021

SoK: How Robust is Image Classification Deep Neural Network Watermarking? (Extended Version).

Nils Lukas, Edward Jiang, Xinda Li, Florian Kerschbaum

CoRR, 2021

On the Robustness of Backdoor-based Watermarking in Deep Neural Networks.

Masoumeh Shafieinejad, Nils Lukas, Jiaqi Wang, Xinda Li, Florian Kerschbaum

Proceedings of the IH&MMSec '21: ACM Workshop on Information Hiding and Multimedia Security, 2021

Deep Neural Network Fingerprinting by Conferrable Adversarial Examples.

Nils Lukas, Yuxuan Zhang, Florian Kerschbaum

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Differentially Private Two-Party Set Operations.

Bailey Kacsmar, Basit Khurram, Nils Lukas, Alexander Norton, Masoumeh Shafieinejad, Zhiwei Shang, Yaser Baseri, Maryam Sepehri, Simon Oya, Florian Kerschbaum

Proceedings of the IEEE European Symposium on Security and Privacy, 2020

Practical Over-Threshold Multi-Party Private Set Intersection.

Rasoul Akhavan Mahdavi, Thomas Humphries, Bailey Kacsmar, Simeon Krastnikov, Nils Lukas, John A. Premkumar, Masoumeh Shafieinejad, Simon Oya, Florian Kerschbaum, Erik-Oliver Blass

Proceedings of the ACSAC '20: Annual Computer Security Applications Conference, 2020

2019

On the Robustness of the Backdoor-based Watermarking in Deep Neural Networks.

Masoumeh Shafieinejad, Jiaqi Wang, Nils Lukas, Florian Kerschbaum

CoRR, 2019