Rong Zhang

According to our database, Rong Zhang authored at least 25 papers between 2018 and 2024.

Collaborative distances:

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

2024

Rethinking Out-of-Distribution Detection From a Human-Centric Perspective.

Yao Zhu, Yuefeng Chen, Xiaodan Li, Rong Zhang, Hui Xue, Xiang Tian, Rongxin Jiang, Bolun Zheng, Yaowu Chen

Int. J. Comput. Vis., October, 2024

Context-Aware Robust Fine-Tuning.

Xiaofeng Mao, Yufeng Chen, Xiaojun Jia, Rong Zhang, Hui Xue, Zhao Li

Int. J. Comput. Vis., May, 2024

Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging.

Xiaojun Jia, Yuefeng Chen, Xiaofeng Mao, Ranjie Duan, Jindong Gu, Rong Zhang, Hui Xue, Yang Liu, Xiaochun Cao

IEEE Trans. Inf. Forensics Secur., 2024

fairBERTs: Erasing Sensitive Information Through Semantic and Fairness-aware Perturbations.

Jinfeng Li, Yuefeng Chen, Xiangyu Liu, Longtao Huang, Rong Zhang, Hui Xue

CoRR, 2024

2023

Information-Containing Adversarial Perturbation for Combating Facial Manipulation Systems.

Yao Zhu, Yuefeng Chen, Xiaodan Li, Rong Zhang, Xiang Tian, Bolun Zheng, Yaowu Chen

IEEE Trans. Inf. Forensics Secur., 2023

Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging.

Xiaojun Jia, Yuefeng Chen, Xiaofeng Mao, Ranjie Duan, Jindong Gu, Rong Zhang, Hui Xue, Xiaochun Cao

CoRR, 2023

Model Inversion Attack via Dynamic Memory Learning.

Gege Qi, Yuefeng Chen, Xiaofeng Mao, Binyuan Hui, Xiaodan Li, Rong Zhang, Hui Xue

Proceedings of the 31st ACM International Conference on Multimedia, 2023

FairRec: Fairness Testing for Deep Recommender Systems.

Huizhong Guo, Jinfeng Li, Jingyi Wang, Xiangyu Liu, Dongxia Wang, Zehong Hu, Rong Zhang, Hui Xue

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

Robust Automatic Speech Recognition via WavAugment Guided Phoneme Adversarial Training.

Gege Qi, Yuefeng Chen, Xiaofeng Mao, Xiaojun Jia, Ranjie Duan, Rong Zhang, Hui Xue

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Inequality phenomenon in l_∞-adversarial training, and its unrealized threats.

Ranjie Duan, Yuefeng Chen, Yao Zhu, Xiaojun Jia, Rong Zhang, Hui Xue

Proceedings of the Eleventh International Conference on Learning Representations, 2023

COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts.

Xiaofeng Mao, Yuefeng Chen, Yao Zhu, Da Chen, Hang Su, Rong Zhang, Hui Xue

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Transaudio: Towards the Transferable Adversarial Audio Attack Via Learning Contextualized Perturbations.

Gege Qi, Yuefeng Chen, Yao Zhu, Binyuan Hui, Xiaodan Li, Xiaofeng Mao, Rong Zhang, Hui Xue

Proceedings of the IEEE International Conference on Acoustics, 2023

ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing.

Xiaodan Li, Yuefeng Chen, Yao Zhu, Shuhui Wang, Rong Zhang, Hui Xue

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

2022

Context-Aware Robust Fine-Tuning.

Xiaofeng Mao, Yuefeng Chen, Xiaojun Jia, Rong Zhang, Hui Xue, Zhao Li

CoRR, 2022

Boosting Out-of-distribution Detection with Typical Features.

Yao Zhu, Yuefeng Chen, Chuanlong Xie, Xiaodan Li, Rong Zhang, Hui Xue, Xiang Tian, Bolun Zheng, Yaowu Chen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Enhance the Visual Representation via Discrete Adversarial Training.

Xiaofeng Mao, Yuefeng Chen, Ranjie Duan, Yao Zhu, Gege Qi, Shaokai Ye, Xiaodan Li, Rong Zhang, Hui Xue

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Emotionflow: Capture the Dialogue Level Emotion Transitions.

Xiaohui Song, Liangjun Zang, Rong Zhang, Songlin Hu, Longtao Huang

Proceedings of the IEEE International Conference on Acoustics, 2022

RoChBert: Towards Robust BERT Fine-tuning for Chinese.

Zihan Zhang, Jinfeng Li, Ning Shi, Bo Yuan, Xiangyu Liu, Rong Zhang, Hui Xue, Donghong Sun, Chao Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Enhancing Model Robustness by Incorporating Adversarial Knowledge into Semantic Representation.

Jinfeng Li, Tianyu Du, Xiangyu Liu, Rong Zhang, Hui Xue, Shouling Ji

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

TextShield: Robust Text Classification Based on Multimodal Embedding and Neural Machine Translation.

Jinfeng Li, Tianyu Du, Shouling Ji, Rong Zhang, Quan Lu, Min Yang, Ting Wang

Proceedings of the 29th USENIX Security Symposium, 2020

Towards Linking Camouflaged Descriptions to Implicit Products in E-commerce.

Longtao Huang, Bo Yuan, Rong Zhang, Quan Lu

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

The Open Brands Dataset: Unified Brand Detection and Recognition at Scale.

Xuan Jin, Wei Su, Rong Zhang, Yuan He, Hui Xue

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

SpanMlt: A Span-based Multi-Task Learning Framework for Pair-wise Aspect and Opinion Terms Extraction.

He Zhao, Longtao Huang, Rong Zhang, Quan Lu, Hui Xue

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Deep Features Analysis with Attention Networks.

Shipeng Xie, Da Chen, Rong Zhang, Hui Xue

CoRR, 2019

2018

Hierarchical Video Frame Sequence Representation with Deep Convolutional Graph Network.

Feng Mao, Xiang Wu, Hui Xue, Rong Zhang

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018