Ruoxi Chen

According to our database, Ruoxi Chen authored at least 20 papers between 2019 and 2024.

Collaborative distances:

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

2024

AdvCheck: Characterizing adversarial examples via local gradient checking.

Ruoxi Chen, Haibo Jin, Jinyin Chen, Haibin Zheng, Shilian Zheng, Xiaoniu Yang, Xing Yang

Comput. Secur., January, 2024

Investigating and Defending Shortcut Learning in Personalized Diffusion Models.

Yixin Liu, Ruoxi Chen, Lichao Sun

CoRR, 2024

Mora: Enabling Generalist Video Generation via A Multi-Agent Framework.

Zhengqing Yuan, Ruoxi Chen, Zhaoxu Li, Haolong Jia, Lifang He, Chi Wang, Lichao Sun

CoRR, 2024

Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models.

Yixin Liu, Kai Zhang, Yuan Li, Zhiling Yan, Chujie Gao, Ruoxi Chen, Zhengqing Yuan, Yue Huang, Hanchi Sun, Jianfeng Gao, Lifang He, Lichao Sun

CoRR, 2024

GUARD: Role-playing to Generate Natural-language Jailbreakings to Test Guideline Adherence of Large Language Models.

Haibo Jin, Ruoxi Chen, Andy Zhou, Jinyin Chen, Yang Zhang, Haohan Wang

CoRR, 2024

Like teacher, like pupil: Transferring backdoors via feature-based knowledge distillation.

Jinyin Chen, Zhiqi Cao, Ruoxi Chen, Haibin Zheng, Xiao Li, Qi Xuan, Xing Yang

Comput. Secur., 2024

MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark.

Dongping Chen, Ruoxi Chen, Shilin Zhang, Yaochen Wang, Yinuo Liu, Huichi Zhou, Qihui Zhang, Yao Wan, Pan Zhou, Lichao Sun

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Excitement surfeited turns to errors: Deep learning testing framework based on excitable neurons.

Haibo Jin, Ruoxi Chen, Haibin Zheng, Jinyin Chen, Yao Cheng, Yue Yu, Tieming Chen, Xianglong Liu

Inf. Sci., August, 2023

Is Multi-Modal Necessarily Better? Robustness Evaluation of Multi-Modal Fake News Detection.

Jinyin Chen, Chengyu Jia, Haibin Zheng, Ruoxi Chen, Chenbo Fu

IEEE Trans. Netw. Sci. Eng., 2023

EditShield: Protecting Unauthorized Image Editing by Instruction-guided Diffusion Models.

Ruoxi Chen, Haibo Jin, Jinyin Chen, Lichao Sun

CoRR, 2023

AdvCheck: Characterizing Adversarial Examples via Local Gradient Checking.

Ruoxi Chen, Haibo Jin, Jinyin Chen, Haibin Zheng

CoRR, 2023

Unleashing the Potential of Adjacent Snippets for Weakly-supervised Temporal Action Localization.

Qinying Liu, Zilei Wang, Ruoxi Chen, Zhilin Li

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022

Salient feature extractor for adversarial defense on deep neural networks.

Ruoxi Chen, Jinyin Chen, Haibin Zheng, Qi Xuan, Zhaoyan Ming, Wenrong Jiang, Chen Cui

Inf. Sci., 2022

Convex Combination Consistency between Neighbors for Weakly-supervised Action Localization.

Qinying Liu, Zilei Wang, Ruoxi Chen, Zhilin Li

CoRR, 2022

DeepSensor: Deep Learning Testing Framework Based on Neuron Sensitivity.

Haibo Jin, Ruoxi Chen, Haibin Zheng, Jinyin Chen, Zhenguang Liu, Qi Xuan, Yue Yu, Yao Cheng

CoRR, 2022

2021

Intelligent management information system of urban planning based on GIS.

Zhuo Chen, Ruoxi Chen, Songtao Chen

J. Intell. Fuzzy Syst., 2021

Salient Feature Extractor for Adversarial Defense on Deep Neural Networks.

Jinyin Chen, Ruoxi Chen, Haibin Zheng, Zhaoyan Ming, Wenrong Jiang, Chen Cui

CoRR, 2021

FineFool: A novel DNN object contour attack on image recognition based on the attention perturbation adversarial technique.

Jinyin Chen, Haibin Zheng, Hui Xiong, Ruoxi Chen, Tianyu Du, Zhen Hong, Shouling Ji

Comput. Secur., 2021

2020

RCA-SOC: A novel adversarial defense by refocusing on critical areas and strengthening object contours.

Jinyin Chen, Haibin Zheng, Ruoxi Chen, Hui Xiong

Comput. Secur., 2020

2019

Real-Time Non-Motor Vehicle Violation Detection in Traffic Scenes.

Jingye Wang, Zhihua Chen, Ping Li, Bin Sheng, Ruoxi Chen

Proceedings of the IEEE International Conference on Industrial Cyber Physical Systems, 2019