Yingqi Liu

According to our database, Yingqi Liu authored at least 57 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multi-Attack Intrusion Detection for In-Vehicle CAN-FD Messages.

Fei Gao, Jinshuo Liu, Yingqi Liu, Zhenhai Gao, Rui Zhao

Sensors, June, 2024

AdaptBIR: Adaptive Blind Image Restoration with latent diffusion prior for higher fidelity.

Yingqi Liu, Jingwen He, Yihao Liu, Xinqi Lin, Fanghua Yu, Jinfan Hu, Yu Qiao, Chao Dong

Pattern Recognit., 2024

Boosting the Performance of Decentralized Federated Learning via Catalyst Acceleration.

Qinglun Li, Miao Zhang, Yingqi Liu, Quanjun Yin, Li Shen, Xiaochun Cao

CoRR, 2024

Decentralized Directed Collaboration for Personalized Federated Learning.

Yingqi Liu, Yifan Shi, Baoyuan Wu, Qinglun Li, Xueqian Wang, Li Shen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Lotus: Evasive and Resilient Backdoor Attacks through Sub-Partitioning.

Siyuan Cheng, Guanhong Tao, Yingqi Liu, Guangyu Shen, Shengwei An, Shiwei Feng, Xiangzhe Xu, Kaiyuan Zhang, Shiqing Ma, Xiangyu Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Towards More Suitable Personalization in Federated Learning via Decentralized Partial Model Training.

Yifan Shi, Yingqi Liu, Yan Sun, Zihao Lin, Li Shen, Xueqian Wang, Dacheng Tao

CoRR, 2023

Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential Privacy.

Yifan Shi, Kang Wei, Li Shen, Yingqi Liu, Xueqian Wang, Bo Yuan, Dacheng Tao

CoRR, 2023

PELICAN: Exploiting Backdoors of Naturally Trained Deep Learning Models In Binary Code Analysis.

Zhuo Zhang, Guanhong Tao, Guangyu Shen, Shengwei An, Qiuling Xu, Yingqi Liu, Yapeng Ye, Yaoxuan Wu, Xiangyu Zhang

Proceedings of the 32nd USENIX Security Symposium, 2023

ImU: Physical Impersonating Attack for Face Recognition System with Natural Style Changes.

Shengwei An, Yuan Yao, Qiuling Xu, Shiqing Ma, Guanhong Tao, Siyuan Cheng, Kaiyuan Zhang, Yingqi Liu, Guangyu Shen, Ian Kelk, Xiangyu Zhang

Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

Django: Detecting Trojans in Object Detection Models via Gaussian Focus Calibration.

Guangyu Shen, Siyuan Cheng, Guanhong Tao, Kaiyuan Zhang, Yingqi Liu, Shengwei An, Shiqing Ma, Xiangyu Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense.

Siyuan Cheng, Guanhong Tao, Yingqi Liu, Shengwei An, Xiangzhe Xu, Shiwei Feng, Guangyu Shen, Kaiyuan Zhang, Qiuling Xu, Shiqing Ma, Xiangyu Zhang

Proceedings of the 30th Annual Network and Distributed System Security Symposium, 2023

FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning.

Kaiyuan Zhang, Guanhong Tao, Qiuling Xu, Siyuan Cheng, Shengwei An, Yingqi Liu, Shiwei Feng, Guangyu Shen, Pin-Yu Chen, Shiqing Ma, Xiangyu Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

MEDIC: Remove Model Backdoors via Importance Driven Cloning.

Qiuling Xu, Guanhong Tao, Jean Honorio, Yingqi Liu, Shengwei An, Guangyu Shen, Siyuan Cheng, Xiangyu Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Make Landscape Flatter in Differentially Private Federated Learning.

Yifan Shi, Yingqi Liu, Kang Wei, Li Shen, Xueqian Wang, Dacheng Tao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Detecting Backdoors in Pre-trained Encoders.

Shiwei Feng, Guanhong Tao, Siyuan Cheng, Guangyu Shen, Xiangzhe Xu, Yingqi Liu, Kaiyuan Zhang, Shiqing Ma, Xiangyu Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Max-Margin Deep Diverse Latent Dirichlet Allocation With Continual Learning.

Wenchao Chen, Bo Chen, Yingqi Liu, Xuefei Cao, Qianru Zhao, Hao Zhang, Long Tian

IEEE Trans. Cybern., 2022

Infrared-Visible Image Fusion Based on Semantic Guidance and Visual Perception.

Xiaoyu Chen, Zhijie Teng, Yingqi Liu, Jun Lu, Lianfa Bai, Jing Han

Entropy, 2022

Backdoor Vulnerabilities in Normally Trained Deep Learning Models.

Guanhong Tao, Zhenting Wang, Siyuan Cheng, Shiqing Ma, Shengwei An, Yingqi Liu, Guangyu Shen, Zhuo Zhang, Yunshu Mao, Xiangyu Zhang

CoRR, 2022

DECK: Model Hardening for Defending Pervasive Backdoors.

Guanhong Tao, Yingqi Liu, Siyuan Cheng, Shengwei An, Zhuo Zhang, Qiuling Xu, Guangyu Shen, Xiangyu Zhang

CoRR, 2022

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results.

Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, et al.

CoRR, 2022

Constrained Optimization with Dynamic Bound-scaling for Effective NLPBackdoor Defense.

Guangyu Shen, Yingqi Liu, Guanhong Tao, Qiuling Xu, Zhuo Zhang, Shengwei An, Shiqing Ma, Xiangyu Zhang

CoRR, 2022

Model Orthogonalization: Class Distance Hardening in Neural Networks for Better Security.

Guanhong Tao, Yingqi Liu, Guangyu Shen, Qiuling Xu, Shengwei An, Zhuo Zhang, Xiangyu Zhang

Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

Piccolo: Exposing Complex Backdoors in NLP Transformer Models.

Yingqi Liu, Guangyu Shen, Guanhong Tao, Shengwei An, Shiqing Ma, Xiangyu Zhang

Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

MIRROR: Model Inversion for Deep LearningNetwork with High Fidelity.

Guanhong Tao, Qiuling Xu, Yingqi Liu, Guangyu Shen, Shengwei An, Jingwei Xu, Xiangyu Zhang, Yuan Yao

Proceedings of the 29th Annual Network and Distributed System Security Symposium, 2022

Traffic Analytics Development Kits (TADK): Enable Real-Time AI Inference in Networking Apps.

Kun Qiu, Harry Chang, Ying Wang, Xiahui Yu, Wenjun Zhu, Yingqi Liu, Jianwei Ma, Weigang Li, Xiaobo Liu, Shuo Dai

Proceedings of the Thirteenth International Conference on Ubiquitous and Future Networks, 2022

Constrained Optimization with Dynamic Bound-scaling for Effective NLP Backdoor Defense.

Guangyu Shen, Yingqi Liu, Guanhong Tao, Qiuling Xu, Zhuo Zhang, Shengwei An, Shiqing Ma, Xiangyu Zhang

Proceedings of the International Conference on Machine Learning, 2022

Efficient Image Super-Resolution Using Vast-Receptive-Field Attention.

Lin Zhou, Haoming Cai, Jinjin Gu, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Yu Qiao, Chao Dong

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Better Trigger Inversion Optimization in Backdoor Scanning.

Guanhong Tao, Guangyu Shen, Yingqi Liu, Shengwei An, Qiuling Xu, Shiqing Ma, Pan Li, Xiangyu Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Complex Backdoor Detection by Symmetric Feature Differencing.

Yingqi Liu, Guangyu Shen, Guanhong Tao, Zhenting Wang, Shiqing Ma, Xiangyu Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results.

Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoglu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gao, Dengwen Zhou, Qian Ning, Jingzhu Tang, Han Huang, Yufei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Blueprint Separable Residual Network for Efficient Image Super-Resolution.

Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Jinjin Gu, Yu Qiao, Chao Dong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

EX-RAY: Distinguishing Injected Backdoor from Natural Features in Neural Networks by Examining Differential Feature Symmetry.

Yingqi Liu, Guangyu Shen, Guanhong Tao, Zhenting Wang, Shiqing Ma, Xiangyu Zhang

CoRR, 2021

Turning Danger into Safety: The Origin, Research Context and Theoretical Framework of Organizational Resilience.

Ruijun Chen, Yingqi Liu, Fei Zhou

IEEE Access, 2021

Backdoor Scanning for Deep Neural Networks through K-Arm Optimization.

Guangyu Shen, Yingqi Liu, Guanhong Tao, Shengwei An, Qiuling Xu, Siyuan Cheng, Shiqing Ma, Xiangyu Zhang

Proceedings of the 38th International Conference on Machine Learning, 2021

Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification.

Siyuan Cheng, Yingqi Liu, Shiqing Ma, Xiangyu Zhang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Black-box adversarial sample generation based on differential evolution.

Junyu Lin, Lei Xu, Yingqi Liu, Xiangyu Zhang

J. Syst. Softw., 2020

Recognizing the HRRP by Combining CNN and BiRNN With Attention Mechanism.

Jinwei Wan, Bo Chen, Yingqi Liu, Yijun Yuan, Hongwei Liu, Lin Jin

IEEE Access, 2020

TRADER: trace divergence analysis and embedding regulation for debugging recurrent neural networks.

Guanhong Tao, Shiqing Ma, Yingqi Liu, Qiuling Xu, Xiangyu Zhang

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

Composite Backdoor Attack for Deep Neural Network by Mixing Existing Benign Features.

Junyu Lin, Lei Xu, Yingqi Liu, Xiangyu Zhang

Proceedings of the CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020

2019

Programming support for autonomizing software.

Wen-Chuan Lee, Peng Liu, Yingqi Liu, Shiqing Ma, Xiangyu Zhang

Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2019

NIC: Detecting Adversarial Samples with Neural Network Invariant Checking.

Shiqing Ma, Yingqi Liu, Guanhong Tao, Wen-Chuan Lee, Xiangyu Zhang

Proceedings of the 26th Annual Network and Distributed System Security Symposium, 2019

Research on Comprehensive Evaluation System of Property Service Enterprises.

Fei Zhou, Yingqi Liu, Rui Xi

Proceedings of the 10th International Conference on E-business, Management and Economics, 2019

White-Box Program Tuning.

Wen-Chuan Lee, Yingqi Liu, Peng Liu, Shiqing Ma, Hongjun Choi, Xiangyu Zhang, Rajiv Gupta

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2019

ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation.

Yingqi Liu, Wen-Chuan Lee, Guanhong Tao, Shiqing Ma, Yousra Aafer, Xiangyu Zhang

Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019

2018

Remaining useful life estimation of engineered systems using vanilla LSTM neural networks.

Yuting Wu, Mei Yuan, Shaopeng Dong, Li Lin, Yingqi Liu

Neurocomputing, 2018

MODE: automated neural network model debugging via state differential analysis and input selection.

Shiqing Ma, Yingqi Liu, Wen-Chuan Lee, Xiangyu Zhang, Ananth Grama

Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018

Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples.

Guanhong Tao, Shiqing Ma, Yingqi Liu, Xiangyu Zhang

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Trojaning Attack on Neural Networks.

Yingqi Liu, Shiqing Ma, Yousra Aafer, Wen-Chuan Lee, Juan Zhai, Weihang Wang, Xiangyu Zhang

Proceedings of the 25th Annual Network and Distributed System Security Symposium, 2018

2017

LAMP: data provenance for graph based machine learning algorithms through derivative computation.

Shiqing Ma, Yousra Aafer, Zhaogui Xu, Wen-Chuan Lee, Juan Zhai, Yingqi Liu, Xiangyu Zhang

Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering, 2017

PAD: programming third-party web advertisement censorship.

Weihang Wang, Yonghwi Kwon, Yunhui Zheng, Yousra Aafer, I Luk Kim, Wen-Chuan Lee, Yingqi Liu, Weijie Meng, Xiangyu Zhang, Patrick Eugster

Proceedings of the 32nd IEEE/ACM International Conference on Automated Software Engineering, 2017

2015

A Detection and Measurement Approach for Memory Leaked Objects in Java Programs.

Qiao Yu, Shujuan Jiang, Yingqi Liu

IEICE Trans. Inf. Syst., 2015

Impact of agricultural industrial structure adjustment on energy conservation and income growth in Western China: a statistical study.

Huifeng Pan, Yingqi Liu, Hongwei Gao

Ann. Oper. Res., 2015

Mitigating the Dependence Confounding Effect for Effective Predicate-Based Statistical Fault Localization.

Xingya Wang, Shujuan Jiang, Xiaolin Ju, Heling Cao, Yingqi Liu

Proceedings of the 39th IEEE Annual Computer Software and Applications Conference, 2015

2014

An approach for test data generation using program slicing and particle swarm optimization.

Shujuan Jiang, Dandan Yi, Xiaolin Ju, Lingsai Wang, Yingqi Liu

Neural Comput. Appl., 2014

2013

An Approach for Fault Localization Based on Program Slicing and Bayesian.

Yingqi Liu, Wei Li, Shujuan Jiang, Yanmei Zhang, Xiaolin Ju

Proceedings of the 2013 13th International Conference on Quality Software, 2013

2012

Fault Localization for Null Pointer Exception Based on Stack Trace and Program Slicing.

Shujuan Jiang, Wei Li, Haiyang Li, Yanmei Zhang, Hongchang Zhang, Yingqi Liu

Proceedings of the 2012 12th International Conference on Quality Software, 2012

2011

The Analysis of China New Energy Vehicle Industry Alliance Status Based on UCINET Software.

Xiongfei Guo, Yingqi Liu

J. Comput., 2011