41 citations · 67 across the 29 of their papers we have counts for
29 papers
Symplectic Barnes-Wall GKP Codes: Deterministic Decoding and Logarithmic Rate Scaling
Shanxiang Lyu
We construct an explicit symplectic realization of the Barnes-Wall lattice that yields a family of multimode Gottesman-Kitaev-Preskill (GKP) codes with encoding rate $R = \frac{1}{…
Integer-Forcing Precoding: A Geometric Perspective and Low-Complexity Algorithm Design
Junren Qin, Fan Jiang, Tao Yang +3
The joint coefficient--scaling design of integer-forcing (IF) precoding couples a full-rank integer coefficient matrix with a positive diagonal scaling matrix, resulting in a mixed…
Decoding Golay Codes and their Related Lattices: A PAC Code Perspective
Yujun Ji, Ling Liu, Shanxiang Lyu +3
In this work, we propose a decoding method of Golay codes from the perspective of Polarization Adjusted Convolutional (PAC) codes. By invoking Forney's cubing construction of Golay…
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…
Construction of Simultaneously Good Polar Codes and Polar Lattices
Ling Liu, Ruimin Yuan, Shanxiang Lyu +2
In this work, we investigate the simultaneous goodness of polar codes and polar lattices. The simultaneous goodness of a lattice or a code means that it is optimal for both channel…
Revisit the AWGN-goodness of Polar-like Lattices
Ling Liu, Junjiang Yu, Shanxiang Lyu +1
This paper aims to provide a comprehensive introduction to lattices constructed based on polar-like codes and demonstrate some of their key properties, such as AWGN goodness. We fi…
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…
On the quantization goodness of polar lattices
Ling Liu, Shanxiang Lyu, Cong Ling +1
In this work, we prove that polar lattices, when tailored for lossy compression, are quantization-good in the sense that their normalized second moments approach as…
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…
On the edge densities of normal, convex mosaics
Máté Kadlicskó, Zsolt Lángi, Shanxiang Lyu
In this paper we investigate the problem of finding the minimum edge density in families of convex, normal mosaics with unit volume cells in -dimensional Euclidean space. In the…
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…
Lattice-Code Multiple Access: Architecture and Efficient Algorithms
Tao Yang. Fangtao Yu, Rongke Liu, Shangxiang Lyu +1
This paper studies a -user lattice-code based multiple-access (LCMA) scheme. Each user equipment (UE) encode its message with a practical lattice code, where we suggest a -…
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…
Lattice Codes for Lattice-Based PKE
Shanxiang Lyu, Ling Liu, Cong Ling +2
Existing error correction mechanisms in lattice-based public key encryption (PKE) rely on either naive modulation or its concatenation with error correction codes (ECC). This paper…
Generalized Singleton Type Upper Bounds
Hao Chen, Longjiang Qu, Chengju Li +2
In this paper, we give upper bounds on the sizes of list-decodable codes in the Hamming metric space from covering codes with the covering radius smaller than or equal to…
Better Lattice Quantizers Constructed from Complex Integers
Shanxiang Lyu, Zheng Wang, Cong Ling +1
This paper investigates low-dimensional quantizers from the perspective of complex lattices. We adopt Eisenstein integers and Gaussian integers to define checkerboard lattices $\ma…
Lattice-Based Minimum-Distortion Data Hiding
Jieni Lin, Junren Qin, Shanxiang Lyu +2
Lattices have been conceived as a powerful tool for data hiding. While conventional studies and applications focus on achieving the optimal robustness versus distortion tradeoff, i…
GMD-Based Hybrid Beamforming for Large Reconfigurable Intelligent Surface Assisted Millimeter-Wave Massive MIMO
Keke Ying, Zhen Gao, Shanxiang Lyu +3
Reconfigurable intelligent surface (RIS) is considered to be an energy-efficient approach to reshape the wireless environment for improved throughput. Its passive feature greatly r…
On Low-complexity Lattice Reduction Algorithms for Large-scale MIMO Detection: the Blessing of Sequential Reduction
Shanxiang Lyu, Jinming Wen, Jian Weng +1
Lattice reduction is a popular preprocessing strategy in multiple-input multiple-output (MIMO) detection. In a quest for developing a low-complexity reduction algorithm for large-s…
On the Optimality of Gauss's Algorithm over Euclidean Imaginary Quadratic Fields
Christian Porter, Shanxiang Lyu, Cong Ling
In this paper, we continue our previous work on the reduction of algebraic lattices over imaginary quadratic fields for the special case when the lattice is spanned over a two dime…
Markov chain Monte Carlo Methods For Lattice Gaussian Sampling: Lattice Reduction and Decoding Optimization
Zheng Wang, Yang Huang, Shanxiang Lyu
Sampling from the lattice Gaussian distribution has emerged as an important problem in coding, decoding and cryptography. In this paper, lattice reduction technique is adopted to G…