Lucas Fenaux

According to our database, Lucas Fenaux authored at least 9 papers between 2021 and 2026.

Collaborative distances:

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

2026

Private Vertical Federated Inference for Time-Series.

Lucas Fenaux, Larris Xie, Aditya Bang, Alex Zhang, Kevin H. Wilson, Florian Kerschbaum

CoRR, May, 2026

2025

On the Trade-Off Between Transparency and Security in Adversarial Machine Learning.

Lucas Fenaux, Christopher Srinivasa, Florian Kerschbaum

CoRR, November, 2025

Hammer and Anvil: A Principled Defense Against Backdoors in Federated Learning.

Lucas Fenaux, Zheng Wang, Jacob Yan, Nathan Chung, Florian Kerschbaum

CoRR, September, 2025

2024

SoK: Analyzing Adversarial Examples: A Framework to Study Adversary Knowledge.

Lucas Fenaux, Florian Kerschbaum

CoRR, 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

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

Gaggle: Genetic Algorithms on the GPU using PyTorch.

Lucas Fenaux, Thomas Humphries, Florian Kerschbaum

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2021

BumbleBee: A Transformer for Music.

Lucas Fenaux, Maria Juliana Quintero

CoRR, 2021

A Novel Approach to Lifelong Learning: The Plastic Support Structure.

Georges Kanaan, Kai Wen Zheng, Lucas Fenaux

CoRR, 2021