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1.?Zhang Han, Zhou Yinhao, Li Ying, A Portable Hardware Trojan Detection using Graph Attention Networks, 2023 IEEE 32nd Asian Test Symposium, 2023,207-212. DOI: 10.1109/ATS59501.2023.10317998

2.?李瑩，李艷杰，崔小欣，倪慶龍，周崟灝，脈沖神經(jīng)網(wǎng)絡(luò)權(quán)重量化方法與對抗魯棒性分析[J]，電子與信息學(xué)報，2023, 45(9): 3218-3227， doi:?10.11999/JEIT230300

3.?Yanjie Li, Xiaoxin Cui, Yinhao Zhou and Ying Li, "A Comparative Study on the Performance and Security Evaluation of Spiking Neural Networks," in?IEEE Access, 2022, doi: 10.1109/ACCESS.2022.3220367.

4.?Ying Li, Lan Chen, Jian Wang, Guanfei Gong, Partial Reconfiguration for Run-time Memory Faults and Hardware Trojan Attacks Detection, 2022 IEEE International Symposium on Hardware Oriented Security and Trust (HOST)，2022, pp. 173-176, doi: 10.1109/HOST54066.2022.9840090.

5.?Zhaojie Dong, Lan Chen, Ying Li, A multi-level architecture for hardware Trojan and vulnerability runtime detection and response towards cryptographic IP [J], IEICE Electronics Express (SCI), 2022 19(11): 20220167, doi: 10.1587/elex.19.20220167.

6.Jian Wang, Ying Li, RDAMS: An Efficient Run-Time Approach for Memory Fault and Hardware Trojans Detection [J]. Information 2021, 12(4):169.

7.閆華鈺，陳嵐，李瑩，佟鑫， 可配置SoC運行時安全策略檢查架構(gòu)的實現(xiàn)[J]，電子設(shè)計工程， 2021年29卷第3期7-12,17

8.?閆華鈺，陳嵐，佟鑫，李瑩，面向物聯(lián)網(wǎng)應(yīng)用的SoC片上安全檢查架構(gòu)設(shè)計[J]，計算機工程，2021年47卷第2期152-159

9.Li Ying, Chen Lan, Tong Xin. Efficient Machine Learning Methods for Hardware Trojan Detection using instruction-level power character [J]，中國科學(xué)院大學(xué)學(xué)報，2021，38(04):71-79.

10.?佟鑫，李瑩，陳嵐.SVM算法在硬件木馬旁路分析檢測中的應(yīng)用[J].電子與信息學(xué)報,2020,42(07):1643-1651

11.李瑩，陳嵐，周崟灝，硬件木馬旁路檢測方法的影響因素分析[J]，計算機工程，2019，45(1): 160-167