2 citations · 4 across the 3 of their papers we have counts for
4 papers
Weights Shuffling for Improving DPSGD in Transformer-based Models
Jungang Yang, Zhe Ji, Liyao Xiang
Differential Privacy (DP) mechanisms, especially in high-dimensional settings, often face the challenge of maintaining privacy without compromising the data utility. This work intr…
TokenMark: A Modality-Agnostic Watermark for Pre-trained Transformers
Hengyuan Xu, Liyao Xiang, Borui Yang +3
Watermarking is a critical tool for model ownership verification. However, existing watermarking techniques are often designed for specific data modalities and downstream tasks, wi…
Crafter: Facial Feature Crafting against Inversion-based Identity Theft on Deep Models
Shiming Wang, Zhe Ji, Liyao Xiang +4
With the increased capabilities at the edge (e.g., mobile device) and more stringent privacy requirement, it becomes a recent trend for deep learning-enabled applications to pre-pr…
Towards Code Watermarking with Dual-Channel Transformations
Borui Yang, Wei Li, Liyao Xiang +1
The expansion of the open source community and the rise of large language models have raised ethical and security concerns on the distribution of source code, such as misconduct on…