Yannan Liu 刘彦南

Biography

I am a member of Wuheng Lab in Bytedance Inc, focusing on AI Security. I used to work as a Security Technical Expert at Sangfor Technologies Inc, where I investigated AI-based malware detection. I received my Ph.D. degree in the department of Computer Science and Engineering of The Chinese University of Hong Kong. Before that, I received the B.Eng degree in 2012 from college of Computer Science and Technology of Zhejiang Univiersity.

My current research focuses on both AI for security and security for AI. Especially, I am very interested in speeding up information flow in cyber security.

Selected Publications

Conference

2021

• Yu Li, Min Li, Qiuxia Lai, Yannan Liu, Qiang Xu. "TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks", Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS), 2021.

2020

• Yannan Liu, Yabin Lai, Kaizhi Wei, Liang Gu, and Zhengzheng Yan. "NLabel: An Accurate Familial Clustering Framework for Large-scale Weakly-labeled Malware.", 19th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2020.

2019

• Yu Li, Yannan Liu, Min Li, Ye Tian, Bo Luo, and Qiang Xu. "D2NN: a fine-grained dual modular redundancy framework for deep neural networks.", 35th Annual Computer Security Applications Conference (ACSAC), 2019.

2018

• Zhang Xian, Guangyu Sun, Peichen Xie, Chao Zhang, Yannan Liu, Lingxiao Wei, Qiang Xu, and Chun Jason Xue. "Shadow Block: Accelerating ORAM Accesses with Data Duplication", IEEE/ACM International Symposium on Microarchitecture (MICRO), 2018.

• Lingxiao Wei, Bo Luo, Yu Li, Yannan Liu, and Qiang Xu, "I know what you see: Power side-channel attack on convolutional neural network accelerators", Computer Security Applications Conference (ACSAC), 2018.

• Bo Luo, Yannan Liu, Lingxiao Wei, and Qiang Xu, "Towards imperceptible and robust adversarial example attacks against neural networks", AAAI Conference on Artificial Intelligence (AAAI), 2018.

2017

• Yannan Liu Liangxiao Wei, Bo Luo, and Qiang Xu, "Fault injection attack on deep neural network", IEEE/ACM International Conference on Computer-Aided Design (ICCAD) 2017.

• Ting Wang, Yannan Liu, Qiang Xu, Zhaobo Zhang, Zhiyuan Wang and Xinli Gu, "RetroDMR:Troubleshooting NonDeterministic Faults with Retrospective DMR", IEEE/ACM Design, Automation, and Test in Europe (DATE), 2017, (Accepted for Publication as an Interactive Presentation).

2016

• Yannan Liu, Lingxiao Wei, Zhe Zhou, Kehuan Zhang, Wenyuan Xu, Qiang Xu, "On Code Execution Tracking via Power Side-Channel", ACM Conference on Computer and Communications Security (CCS), Oct. 2016. (acceptance rate: 137/831 = 16.5%)

2015

• Lingxiao Wei, Chaosheng Song, Yannan Liu, Jie Zhang, Feng Yuan, Qiang Xu, "BoardPUF: Physical Unclonable Functions for Printed Circuit Board Authentication", IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Nov. 2015.

• Yannan Liu, Jie Zhang, Lingxiao Wei, Feng Yuan, Qiang Xu, "DERA: Yet Another Differential Fault Attack on Cryptographic Devices Based on Error Rate Analysis", ACM/IEEE Design Automation Conference (DAC), June 2015. (Nominated for Best Paper Award, acceptance rate: 162/789 = 20.5%)

• Lingxiao Wei, Jie Zhang, Feng Yuan, Yannan Liu, Junfeng Fan, Qiang Xu,"Vulnerability Analysis for Crypto Devices against Probing Attack", PIEEE/ACM Asia and South Pacific Design Automation Conference (ASP-DAC), pp. 827-832, Jan. 2015. (acceptance rate: 108/318 = 33.9%)

2014

• Jie Zhang, Guantong Su, Yannan Liu, Lingxiao Wei, Feng Yuan, Guoqiang Bai, Qiang Xu, "On Trojan Side Channel Design and Identification", IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Nov. 2014.

2013

• Feng Yuan, Yannan Liu, Wen-Ben Jone, Qiang Xu, "On testing timing-speculative circuits". ACM/IEEE Design Automation Conference (DAC), June 2013. (acceptance rate: 162/747 = 21.7%)

2012

• Yannan Liu, Tianzhou Chen, Tiefei Zhang, Jinming Yue, "Dealing with the Functional Units Starvation in SMT" HPCC-ICESS 2012

Experience

Security Technical Expert

• Sangfor Technologies Inc., Research Innovation Institution, Sep.2017- Mar.2021

Research Assistant

• Research Assistant, 08,2012-07,2013
  The Chinese University of Hong Kong

Teaching Assistant

• CSCI2100A Data Structure, 2013-2014 Fall
• CENG3420 Computer Organization and Design, 2013-2014 Spring
• CMSC5719 Seminar Course, 2014-2015 Fall
• ENGG2020 Digital Logic and Systems, 2014-2015 Fall
• CENG3420 Computer Organization and Design, 2014-2015 Spring
• ENGG2020 Digital Logic and Systems, 2015-2016 Fall