41 citations · 67 across the 29 of their papers we have counts for
8 papers · 1 filter
A Failure-Free and Efficient Discrete Laplace Distribution for Differential Privacy in MPC
Ivan Tjuawinata, Jiabo Wang, Mengmeng Yang +3
In an MPC-protected distributed computation, although the use of MPC assures data privacy during computation, sensitive information may still be inferred by curious MPC participant…
Forging the Unforgeable: On the Feasibility of Counterfeit Watermarks in Backdoor-Based Dataset Ownership Verification
Zhiying Li, Zhi Liu, Dongjie Liu +6
Backdoor watermarking has emerged as the predominant approach for protecting public datasets, enabling dataset ownership verification (DOV) through embedded triggers that induce pr…
Towards Quantum-Safe Federated Learning via Homomorphic Encryption: Learning with Gradients
Guangfeng Yan, Shanxiang Lyu, Hanxu Hou +2
This paper introduces a privacy-preserving distributed learning framework via private-key homomorphic encryption. Thanks to the randomness of the quantization of gradients, our lea…
FedReverse: Multiparty Reversible Deep Neural Network Watermarking
Junlong Mao, Huiyi Tang, Yi Zhang +3
The proliferation of Deep Neural Networks (DNN) in commercial applications is expanding rapidly. Simultaneously, the increasing complexity and cost of training DNN models have inte…
Content-Aware Quantization Index Modulation:Leveraging Data Statistics for Enhanced Image Watermarking
Junlong Mao, Huiyi Tang, Shanxiang Lyu +2
Image watermarking techniques have continuously evolved to address new challenges and incorporate advanced features. The advent of data-driven approaches has enabled the processing…
Reversible Quantization Index Modulation for Static Deep Neural Network Watermarking
Junren Qin, Shanxiang Lyu, Fan Yang +3
Static deep neural network (DNN) watermarking techniques typically employ irreversible methods to embed watermarks into the DNN model weights. However, this approach causes permane…
Lattice-Aided Extraction of Spread-Spectrum Hidden Data
Fan Yang, Shanxiang Lyu, Hao Cheng +2
This paper discusses the problem of extracting spread spectrum hidden data from the perspective of lattice decoding. Since the conventional blind extraction scheme multi-carrier it…
A Lattice-Based Embedding Method for Reversible Audio Watermarking
Junren Qin, Shanxiang Lyu, Jiarui Deng +3
Reversible audio watermarking (RAW) is a promising technique in various applications. To simultaneously meet the demand of achieving high imperceptibility and robustness, this pape…