Data Security & Privacy Preservation

Encrypted database query optimization algorithms

Performance enhancement of multi-party computation (MPC) protocols

Dynamic adaptive mechanisms for differential privacy noise injection

Verifiable Machine Learning

Gradient verifiable aggregation in federated learning

Zero-knowledge proof generation for model inference results

Quantitative robustness evaluation frameworks against adversarial samples

System Trustworthiness Assurance

Distributed training architectures based on TEE (Trusted Execution Environment)

Integrity verification chains for real-time stream data processing

Hardware-level side-channel attack defense schemes

Industrial Automation & Embedded AI

RISC-V-based lightweight object detection chip design

Reinforcement learning policy deployment for real-time robotic arm control

ASIC acceleration for anomaly detection in Industrial IoT (IIoT)

High-Performance Computing & Communication

Low-latency transmission protocols for federated learning over 6G networks

GPU/FPGA hybrid optimization for Transformer models

Robust beamforming algorithms for UAV swarm communications

Trustworthy System Deployment Verification

Formal verification toolchain development for autonomous driving systems

Digital signature chains for edge device model updates

Joint latency-accuracy optimization in cloud-edge collaborative inference