MalPurifier: Enhancing Android Malware Detection with Adversarial Purification against Evasion Attacks

1 code implementation • 11 Dec 2023 • Yuyang Zhou, Guang Cheng, Zongyao Chen, Shui Yu

Experimental results on two Android malware datasets demonstrate that MalPurifier outperforms the state-of-the-art defenses, and it significantly strengthens the vulnerable malware detector against 37 evasion attacks, achieving accuracies over 90. 91%.

Android Malware Detection Denoising +2

MoConVQ: Unified Physics-Based Motion Control via Scalable Discrete Representations

no code implementations • 16 Oct 2023 • Heyuan Yao, Zhenhua Song, Yuyang Zhou, Tenglong Ao, Baoquan Chen, Libin Liu

In this work, we present MoConVQ, a novel unified framework for physics-based motion control leveraging scalable discrete representations.

In-Context Learning Model-based Reinforcement Learning

An Improved Equiangular Division Algorithm for SBR based Ray Tracing Channel Modeling

no code implementations • 22 Aug 2022 • Yuyang Zhou, Yinghua Wang, Yuxiao Li, Jialing Huang, Jie Huang, Cheng-Xiang Wang

With the proposed iterative precise algorithm, error of angle of departure (AOD) and angle of arrival (AOA) is below 0. 01 degree.

Building an Efficient Intrusion Detection System Based on Feature Selection and Ensemble Classifier

no code implementations • 2 Apr 2019 • Yuyang Zhou, Guang Cheng, Shanqing Jiang, Mian Dai

Intrusion detection system (IDS) is one of extensively used techniques in a network topology to safeguard the integrity and availability of sensitive assets in the protected systems.

Anomaly Detection Dimensionality Reduction +4