5 papers
Efficient Privacy-Preserving Convolutional Spiking Neural Networks with FHE
Pengbo Li, Huifang Huang, Ting Gao +2
With the rapid development of AI technology, we have witnessed numerous innovations and conveniences. However, along with these advancements come privacy threats and risks. Fully H…
Privacy-Preserving Discretized Spiking Neural Networks
Pengbo Li, Ting Gao, Huifang Huang +4
The rapid development of artificial intelligence has brought considerable convenience, yet also introduces significant security risks. One of the research hotspots is to balance da…
Model Based Reinforcement Learning with Non-Gaussian Environment Dynamics and its Application to Portfolio Optimization
Huifang Huang, Ting Gao, Pengbo Li +3
With the fast development of quantitative portfolio optimization in financial engineering, lots of AI-based algorithmic trading strategies have demonstrated promising results, amon…
Stock Trading Optimization through Model-based Reinforcement Learning with Resistance Support Relative Strength
Huifang Huang, Ting Gao, Yi Gui +2
Reinforcement learning (RL) is gaining attention by more and more researchers in quantitative finance as the agent-environment interaction framework is aligned with decision making…
Cross-Language Binary-Source Code Matching with Intermediate Representations
Yi Gui, Yao Wan, Hongyu Zhang +5
Binary-source code matching plays an important role in many security and software engineering related tasks such as malware detection, reverse engineering and vulnerability assessm…