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2020 – today
- 2024
[c2]Nils Lukas, Abdulrahman Diaa, Lucas Fenaux, Florian Kerschbaum:
Leveraging Optimization for Adaptive Attacks on Image Watermarks. ICLR 2024- [c1]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:
Fast and Private Inference of Deep Neural Networks by Co-designing Activation Functions. USENIX Security Symposium 2024 - [i6]Abdulrahman Diaa, Thomas Humphries, Florian Kerschbaum:
FastLloyd: Federated, Accurate, Secure, and Tunable k-Means Clustering with Differential Privacy. CoRR abs/2405.02437 (2024) - [i5]Abdulrahman Diaa, Toluwani Aremu, Nils Lukas:
Optimizing Adaptive Attacks against Content Watermarks for Language Models. CoRR abs/2410.02440 (2024) - 2023
- [j1]Sinem Sav, Abdulrahman Diaa, Apostolos Pyrgelis, Jean-Philippe Bossuat, Jean-Pierre Hubaux:
Privacy-Preserving Federated Recurrent Neural Networks. Proc. Priv. Enhancing Technol. 2023(4): 500-521 (2023) - [i4]Rasoul Akhavan Mahdavi, Abdulrahman Diaa, Florian Kerschbaum:
HE is all you need: Compressing FHE Ciphertexts using Additive HE. CoRR abs/2303.09043 (2023) - [i3]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:
Fast and Private Inference of Deep Neural Networks by Co-designing Activation Functions. CoRR abs/2306.08538 (2023) - [i2]Nils Lukas, Abdulrahman Diaa, Lucas Fenaux, Florian Kerschbaum:
Leveraging Optimization for Adaptive Attacks on Image Watermarks. CoRR abs/2309.16952 (2023) - 2022
- [i1]Sinem Sav, Abdulrahman Diaa, Apostolos Pyrgelis, Jean-Philippe Bossuat, Jean-Pierre Hubaux:
Privacy-Preserving Federated Recurrent Neural Networks. CoRR abs/2207.13947 (2022)
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