Nils Lukas
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On the Robustness of Backdoor-based Watermarking in Deep Neural Networks
M Shafieinejad, N Lukas, J Wang, X Li, F Kerschbaum
Proceedings of the 2021 ACM Workshop on Information Hiding and Multimedia …, 2021
Deep Neural Network Fingerprinting by Conferrable Adversarial Examples
N Lukas, Y Zhang, F Kerschbaum
The Ninth International Conference on Learning Representations (ICLR 2021), 2021
Sok: How Robust is Image Classification Deep Neural Network Watermarking?
N Lukas, E Jiang, X Li, F Kerschbaum
2022 IEEE Symposium on Security and Privacy (SP), 787-804, 2022
SunFlower: A new solar tower simulation method for use in field layout optimization
P Richter, G Heiming, N Lukas, M Frank
AIP Conference Proceedings 2033 (1), 210015, 2018
Differentially private two-party set operations
B Kacsmar, B Khurram, N Lukas, A Norton, M Shafieinejad, Z Shang, ...
2020 IEEE European Symposium on Security and Privacy (EuroS&P), 390-404, 2020
Practical Over-Threshold Multi-Party Private Set Intersection
RA Mahdavi, T Humphries, B Kacsmar, S Krastnikov, N Lukas, ...
Annual Computer Security Applications Conference, 772-783, 2020
Analyzing Leakage of Personally Identifiable Information in Language Models
N Lukas, A Salem, R Sim, S Tople, L Wutschitz, S Zanella-Béguelin
arXiv preprint arXiv:2302.00539, 2023
Feature Grinding: Efficient Backdoor Sanitation in Deep Neural Networks
N Lukas, C Zhang, F Kerschbaum
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