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Nils Lukas
Nils Lukas
MBZUAI
在 mbzuai.ac.ae 的電子郵件地址已通過驗證 - 首頁
標題
引用次數
引用次數
年份
Analyzing Leakage of Personally Identifiable Information in Language Models
N Lukas, A Salem, R Sim, S Tople, L Wutschitz, S Zanella-Béguelin
2023 IEEE Symposium on Security and Privacy (S&P), 2023
2312023
Deep Neural Network Fingerprinting by Conferrable Adversarial Examples
N Lukas, Y Zhang, F Kerschbaum
The Ninth International Conference on Learning Representations (ICLR 2021), 2021
1752021
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
1272021
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
1022022
Leveraging optimization for adaptive attacks on image watermarks
N Lukas, A Diaa, L Fenaux, F Kerschbaum
The Twelfth International Conference on Learning Representations (ICLR'24), 2024
292024
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
242020
PTW: Pivotal Tuning Watermarking for Pre-Trained Image Generators
N Lukas, F Kerschbaum
The 32nd USENIX Security Symposium, 2023
202023
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
172020
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), 2018
102018
Fast and private inference of deep neural networks by co-designing activation functions
A Diaa, L Fenaux, T Humphries, M Dietz, F Ebrahimianghazani, ...
The 33rd USENIX Security Symposium, 2023
52023
Universal Backdoor Attacks
B Schneider, N Lukas, F Kerschbaum
The Twelfth International Conference on Learning Representations (ICLR'24), 2024
32024
PEPSI: Practically Efficient Private Set Intersection in the Unbalanced Setting
RA Mahdavi, N Lukas, F Ebrahimianghazani, T Humphries, B Kacsmar, ...
USENIX Security, 2024
22024
Privacy-Preserving Machine Learning [Cryptography]
F Kerschbaum, N Lukas
IEEE Security & Privacy 21 (6), 90-94, 2023
22023
Optimizing adaptive attacks against content watermarks for language models
A Diaa, T Aremu, N Lukas
arXiv preprint arXiv:2410.02440, 2024
12024
Pick your poison: Undetectability versus robustness in data poisoning attacks against deep image classification
N Lukas, F Kerschbaum
arXiv preprint arXiv:2305.09671, 2023
12023
Analyzing Threats of Large-Scale Machine Learning Systems
N Lukas
University of Waterloo, 2024
2024
First-Place Solution to NeurIPS 2024 Invisible Watermark Removal Challenge
F Shamshad, T Bakr, YS Shaaban, NH Hussein, K Nandakumar, N Lukas
The 1st Workshop on GenAI Watermarking, 0
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