Follow
Xinda Li
Xinda Li
Verified email at uwaterloo.ca
Title
Cited by
Cited by
Year
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
1042021
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
682022
Towards Robust Dataset Learning
Y Wu, X Li, F Kerschbaum, H Huang, H Zhang
arXiv preprint arXiv:2211.10752, 2022
82022
Sok: How robust is deep neural network image classification watermarking
N Lukas, E Jiang, X Li, F Kerschbaum
IEEE Symposium on Security and Privacy, 52-69, 2022
72022
Fast and Private Inference of Deep Neural Networks by Co-designing Activation Functions
A Diaa, L Fenaux, T Humphries, M Dietz, F Ebrahimianghazani, ...
arXiv preprint arXiv:2306.08538, 2023
32023
Improved Model Poisoning Attacks and Defenses in Federated Learning with Clustering
X Li
University of Waterloo, 2022
22022
PEPSI: Practically Efficient Private Set Intersection in the Unbalanced Setting
RA Mahdavi, N Lukas, F Ebrahimianghazani, T Humphries, B Kacsmar, ...
arXiv preprint arXiv:2310.14565, 2023
2023
Recovery from non-decomposable distance oracles
Z Hu, X Li, DP Woodruff, H Zhang, S Zhang
IEEE Transactions on Information Theory, 2023
2023
Sok: How robust is image classification deep neural network watermarking?(extended version)
N Lukas, E Jiang, X Li, F Kerschbaum
arXiv preprint arXiv:2108.04974, 2021
2021
The system can't perform the operation now. Try again later.
Articles 1–9