Yingqi Liu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
30
Venues
14
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
30 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WACV | Mitigating Backdoor Attacks via Trigger Reconstruction and Model Hardening. | Guanhong Tao, Siyuan Cheng, Guangyu Shen, Yingqi Liu, Shengwei An, Zhuo Zhang, Zhenting Wang, Hanxi Guo, Xiangyu Zhang |
| 2025 | ICLR | Understanding the Stability-based Generalization of Personalized Federated Learning. | Yingqi Liu, Qinglun Li, Jie Tang, Yifan Shi, Li Shen, Xiaochun Cao |
| 2024 | ACSAC | Exploring Inherent Backdoors in Deep Learning Models. | Guanhong Tao, Siyuan Cheng, Zhenting Wang, Shiqing Ma, Shengwei An, Yingqi Liu, Guangyu Shen, Zhuo Zhang, Yunshu Mao, Xiangyu Zhang |
| 2024 | CVPR | 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 |
| 2024 | CVPR | Decentralized Directed Collaboration for Personalized Federated Learning. | Yingqi Liu, Yifan Shi, Baoyuan Wu, Qinglun Li, Xueqian Wang, Li Shen |
| 2023 | CVPR | Detecting Backdoors in Pre-trained Encoders. | Shiwei Feng, Guanhong Tao, Siyuan Cheng, Guangyu Shen, Xiangzhe Xu, Yingqi Liu, Kaiyuan Zhang, Shiqing Ma, Xiangyu Zhang |
| 2023 | CVPR | Make Landscape Flatter in Differentially Private Federated Learning. | Yifan Shi, Yingqi Liu, Kang Wei, Li Shen, Xueqian Wang, Dacheng Tao |
| 2023 | CVPR | MEDIC: Remove Model Backdoors via Importance Driven Cloning. | Qiuling Xu, Guanhong Tao, Jean Honorio, Yingqi Liu, Shengwei An, Guangyu Shen, Siyuan Cheng, Xiangyu Zhang |
| 2023 | ICLR | 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 |
| 2023 | NDSS | 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 |
| 2023 | SP | 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 |
| 2022 | CVPR | Blueprint Separable Residual Network for Efficient Image Super-Resolution. | Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Jinjin Gu, Yu Qiao, Chao Dong |
| 2022 | CVPR | Complex Backdoor Detection by Symmetric Feature Differencing. | Yingqi Liu, Guangyu Shen, Guanhong Tao, Zhenting Wang, Shiqing Ma, Xiangyu Zhang |
| 2022 | CVPR | 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 |
| 2022 | CVPR | Better Trigger Inversion Optimization in Backdoor Scanning. | Guanhong Tao, Guangyu Shen, Yingqi Liu, Shengwei An, Qiuling Xu, Shiqing Ma, Pan Li, Xiangyu Zhang |
| 2022 | ECCV | 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 |
| 2022 | ICML | 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 |
| 2022 | NDSS | 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 |
| 2022 | SP | Piccolo: Exposing Complex Backdoors in NLP Transformer Models. | Yingqi Liu, Guangyu Shen, Guanhong Tao, Shengwei An, Shiqing Ma, Xiangyu Zhang |
| 2022 | SP | 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 |
| 2021 | AAAI | Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification. | Siyuan Cheng, Yingqi Liu, Shiqing Ma, Xiangyu Zhang |
| 2021 | ICML | 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 |
| 2020 | CCS | Composite Backdoor Attack for Deep Neural Network by Mixing Existing Benign Features. | Junyu Lin, Lei Xu, Yingqi Liu, Xiangyu Zhang |
| 2020 | ICSE | TRADER: trace divergence analysis and embedding regulation for debugging recurrent neural networks. | Guanhong Tao, Shiqing Ma, Yingqi Liu, Qiuling Xu, Xiangyu Zhang |
| 2019 | CCS | ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation. | Yingqi Liu, Wen-Chuan Lee, Guanhong Tao, Shiqing Ma, Yousra Aafer, Xiangyu Zhang |
| 2019 | CGO | White-Box Program Tuning. | Wen-Chuan Lee, Yingqi Liu, Peng Liu, Shiqing Ma, Hongjun Choi, Xiangyu Zhang, Rajiv Gupta |
| 2019 | NDSS | NIC: Detecting Adversarial Samples with Neural Network Invariant Checking. | Shiqing Ma, Yingqi Liu, Guanhong Tao, Wen-Chuan Lee, Xiangyu Zhang |
| 2019 | PLDI | Programming support for autonomizing software. | Wen-Chuan Lee, Peng Liu, Yingqi Liu, Shiqing Ma, Xiangyu Zhang |
| 2018 | NDSS | Trojaning Attack on Neural Networks. | Yingqi Liu, Shiqing Ma, Yousra Aafer, Wen-Chuan Lee, Juan Zhai, Weihang Wang, Xiangyu Zhang |
| 2015 | COMPSAC | Mitigating the Dependence Confounding Effect for Effective Predicate-Based Statistical Fault Localization. | Xingya Wang, Shujuan Jiang, Xiaolin Ju, Heling Cao, Yingqi Liu |