On the Robustness of Backdoor-based Watermarking in Deep Neural Networks. - Masoumeh Shafieinejad; Nils Lukas; Jiaqi Wang; Xinda Li 001; Florian Kerschbaum (IH&MMSec, 2021)

SoK: How Robust is Image Classification Deep Neural Network Watermarking? (Extended Version). - Nils Lukas; Edward Jiang; Xinda Li 001; Florian Kerschbaum (CoRR, 2021)

SoK: How Robust is Image Classification Deep Neural Network Watermarking? - Nils Lukas; Edward Jiang; Xinda Li 001; Florian Kerschbaum (SP, 2022)

Towards Robust Dataset Learning. - Yihan Wu; Xinda Li 001; Florian Kerschbaum; Heng Huang; Hongyang Zhang 001 (CoRR, 2022)

Recovery From Non-Decomposable Distance Oracles. - Zhuangfei Hu; Xinda Li 001; David P. Woodruff; Hongyang Zhang 001; Shufan Zhang 001 (IEEE Trans. Inf. Theory, 2023)

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 001; Nils Lukas; Rasoul Akhavan Mahdavi; Simon Oya; Ehsan Amjadian; Florian Kerschbaum (USENIX Security Symposium, 2024)

PEPSI: Practically Efficient Private Set Intersection in the Unbalanced Setting. - Rasoul Akhavan Mahdavi; Nils Lukas; Faezeh Ebrahimianghazani; Thomas Humphries; Bailey Kacsmar; John A. Premkumar; Xinda Li 001; Simon Oya; Ehsan Amjadian; Florian Kerschbaum (USENIX Security Symposium, 2024)