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| 1 | A comparative evalu- ation of foreground/background sketch-based mesh segmen- tation algorithms显示文摘 | MENG Min FAN Lubin LIU Ligang | 2011 | Computers & Graphics2011，35，3： | 1 |
| 2 | SSVEP-based brain-computer interfaces are vulnerable to square wave attacks显示文摘Electroencephalogram(EEG)based brain-computer interfaces(BCIs)have attracted wide attention in recent years.Steady-state visual evoked potential(SSVEP)is one of the most popular BCI paradigms,which has high information transmission rate and short user calibration time.Recent research has shown that EEG-based BCIs are under the threat of adversarial examples.However,existing attack approaches are very difficult to implement in a real-world system.Considering SSVEP’s dependency on the frequency information,this paper proposes to use square wave signals as adversarial perturbations to attack SSVEP-based BCIs,which are easy to generate and apply in practice.EEG trials contaminated by the square wave perturbation can be classified into any target class specified by the attacker.Compared with previous approaches,our perturbation can be implemented much more easily.Experiments on two SSVEP datasets demonstrated the efficiency and robustness of the proposed approach in attacking two SSVEP classifiers based on canonical correlation analysis,exposing a critical security problem in SSVEP-based BCIs. | Rui BIAN Lubin MENG Dongrui WU | 2022 | Science China(Information Sciences)2022，65，4： | 0 |
| 3 | Space advanced technology demonstration satellite显示文摘The Space Advanced Technology demonstration satellite(SATech-01),a mission for low-cost space science and new technology experiments,organized by Chinese Academy of Sciences(CAS),was successfully launched into a Sun-synchronous orbit at an altitude of~500 km on July 27,2022,from the Jiuquan Satellite Launch Centre.Serving as an experimental platform for space science exploration and the demonstration of advanced common technologies in orbit,SATech-01 is equipped with 16 experimental payloads,including the solar upper transition region imager(SUTRI),the lobster eye imager for astronomy(LEIA),the high energy burst searcher(HEBS),and a High Precision Magnetic Field Measurement System based on a CPT Magnetometer(CPT).It also incorporates an imager with freeform optics,an integrated thermal imaging sensor,and a multi-functional integrated imager,etc.This paper provides an overview of SATech-01,including a technical description of the satellite and its scientific payloads,along with their on-orbit performance. | ZHANG XiaoFeng CHEN Wen ZHU XiaoCheng MENG Na HE JunWang BI XingZi ZHANG YongHe SHI Qi LI Fei LIU Rui FENG ZhengGong LIU Liu LI JinSong WU HaiChen XU DongXiao LI TaiJie HUANG JiangJiang LIU Shuo LI TianTong YU XianSheng GAO Yang ZHOU Heng BAN HanYu ZHANG YanLi ZHANG YueTing YANG YingQuan HE Tao DUAN XuLiang CHEN Xin WANG YaMin SUN AnTai ZHANG KuoXiang SUN Ying WANG YaoBin FAN ChengCheng XIONG ShaoLin LI XinQiao WEN XiangYang LING ZhiXing SUN XiaoJin ZHANG Chen BAI XianYong WANG ZhanShan DENG YuanYong TIAN Hui YANG JianFeng XUE HongBo SANG Peng LIU JinGuo ZHENG HuiLong ZHU Xiang HE JianWu LI Hui XU LuXiang XU ShuYan CHEN WenWu LIU ZhenDong WANG ZhaoLi MAO XiangLong GAO Rong LI ZongXuan DING GuoPeng WANG XinYu DOU RunJiang WENG LuBin LUO Hao WANG YaPing LIANG XianFeng FANG ZiRuo | 2024 | Science China(Technological Sciences)2024，67，1： | 0 |
| 4 | Active poisoning:efficient backdoor attacks on transfer learning-based brain-computer interfaces显示文摘Transfer learning(TL)has been widely used in electroencephalogram(EEG)-based braincomputer interfaces(BCIs)for reducing calibration efforts.However,backdoor attacks could be introduced through TL.In such attacks,an attacker embeds a backdoor with a specific pattern into the machine learning model.As a result,the model will misclassify a test sample with the backdoor trigger into a prespecified class while still maintaining good performance on benign samples.Accordingly,this study explores backdoor attacks in the TL of EEG-based BCIs,where source-domain data are poisoned by a backdoor trigger and then used in TL.We propose several active poisoning approaches to select source-domain samples,which are most effective in embedding the backdoor pattern,to improve the attack success rate and efficiency.Experiments on four EEG datasets and three deep learning models demonstrate the effectiveness of the approaches.To our knowledge,this is the first study about backdoor attacks on TL models in EEG-based BCIs.It exposes a serious security risk in BCIs,which should be immediately addressed. | Xue JIANG Lubin MENG Siyang LI Dongrui WU | 2023 | Science China(Information Sciences)2023，66，8： | 0 |
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