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Lucas Fenaux
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2020 – today
- 2024
- [c3]Nils Lukas, Abdulrahman Diaa, Lucas Fenaux, Florian Kerschbaum:
Leveraging Optimization for Adaptive Attacks on Image Watermarks. ICLR 2024 - [c2]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 - [i5]Lucas Fenaux, Florian Kerschbaum:
SoK: Analyzing Adversarial Examples: A Framework to Study Adversary Knowledge. CoRR abs/2402.14937 (2024) - 2023
- [c1]Lucas Fenaux
, Thomas Humphries
Gaggle: Genetic Algorithms on the GPU using PyTorch. GECCO Companion 2023: 2358-2361 - [i4]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) - [i3]Nils Lukas, Abdulrahman Diaa, Lucas Fenaux, Florian Kerschbaum:
Leveraging Optimization for Adaptive Attacks on Image Watermarks. CoRR abs/2309.16952 (2023) - 2021
- [i2]Georges Kanaan, Kai Wen Zheng, Lucas Fenaux:
A Novel Approach to Lifelong Learning: The Plastic Support Structure. CoRR abs/2106.06298 (2021) - [i1]Lucas Fenaux, Maria Juliana Quintero:
BumbleBee: A Transformer for Music. CoRR abs/2107.03443 (2021)
Coauthor Index
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