BESA: Boosting Encoder Stealing Attack with Perturbation Recovery
To boost the encoder stealing attack under the perturbation-based defense that hinders the attack performance, we propose a boosting encoder stealing attack with perturbation recovery named BESA....
Large Language Model-driven Security Assistant for Internet of Things via Chain-of-Thought
The rapid development of Internet of Things (IoT) technology has transformed people's way of life and has a profound impact on both production and daily activities. However, with the rapid...
Parallel in-memory wireless computing
Parallel wireless digital communication with ultralow power consumption is critical for emerging edge technologies such as 5G and Internet of Things. However, the physical separation between...
Distributed Collaborative Inference System in Next-Generation Networks and Communication
With the rapid advancement of artificial intelligence, generative artificial intelligence (GAI) has taken a leading role in transforming data processing methods. However, the high computational...
A Sequence Repetition Node-Based Successive Cancellation List Decoder for 5G Polar Codes: Algorithm and Implementation
Due to the low-latency and high-reliability requirements of 5G, low-complexity node-based successive cancellation list (SCL) decoding has received considerable attention for use in 5G...
Toward 6G TK$\mu$ Extreme Connectivity: Architecture, Key Technologies and Experiments
Sixth-generation (6G) networks are evolving towards new features and order-of-magnitude enhancement of systematic performance metrics compared to the current 5G. In particular, the 6G networks are...
Joint Channel Estimation and Data Detection in Cell-Free Massive MU-MIMO Systems
We propose a joint channel estimation and data detection (JED) algorithm for densely-populated cell-free massive multiuser (MU) multiple-input multiple-output (MIMO) systems, which reduces the...
Automatic Hybrid-Precision Quantization for MIMO Detectors
In the design of wireless systems, quantization plays a critical role in hardware, which directly affects both area efficiency and energy efficiency. Being an enabling technique, the wide...
Belief-selective Propagation Detection for MIMO Systems
Compared to the linear MIMO detectors, the Belief Propagation (BP) detector has shown greater capabilities in achieving near optimal performance and better nature to iteratively cooperate with...
Spatiotemporal 2-D Channel Coding for Very Low Latency Reliable MIMO Transmission
To fully support vertical industries, 5G and its corresponding channel coding are expected to meet requirements of different applications. However, for applications of 5G and beyond 5G (B5G) such...
Non-interactive Multi-client Searchable Symmetric Encryption with Small Client Storage
Considerable attention has been paid to dynamic searchable symmetric encryption (DSSE) which allows users to search on dynamically updated encrypted databases. To improve the performance of...
MFA-Net: Multi-Scale feature fusion attention network for liver tumor segmentation
Segmentation of organs of interest in medical CT images is beneficial for diagnosis of diseases. Though recent methods based on Fully Convolutional Neural Networks (F-CNNs) have shown success in...
Supervised Contrastive CSI Representation Learning for Massive MIMO Positioning
Similarity metric is crucial for massive MIMO positioning utilizing channel state information~(CSI). In this letter, we propose a novel massive MIMO CSI similarity learning method via deep...
Efficient Strong Privacy-Preserving Conjunctive Keyword Search Over Encrypted Cloud Data
Searchable symmetric encryption (SSE) supports keyword search over outsourced symmetrically encrypted data. Dynamic searchable symmetric encryption (DSSE), a variant of SSE, further enables data...
Soft-Output Joint Channel Estimation and Data Detection using Deep Unfolding
We propose a novel soft-output joint channel estimation and data detection (JED) algorithm for multiuser (MU) multiple-input multiple-output (MIMO) wireless communication systems. Our algorithm...
High-Throughput Flexible Belief Propagation List Decoder for Polar Codes
Owing to its high parallelism, belief propagation (BP) decoding is highly amenable to high-throughput implementations and thus represents a promising solution for meeting the ultra-high peak data...
Bridging the Emotional Semantic Gap via Multimodal Relevance Estimation
Human beings have rich ways of emotional expressions, including facial action, voice, and natural languages. Due to the diversity and complexity of different individuals, the emotions expressed by...
Polar Decoding on Sparse Graphs with Deep Learning
In this paper, we present a sparse neural network decoder (SNND) of polar codes based on belief propagation (BP) and deep learning. At first, the conventional factor graph of polar BP decoding is...