Jiawang Bai

According to our database, Jiawang Bai authored at least 21 papers between 2019 and 2024.

Collaborative distances:

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

2024

Imperceptible and Robust Backdoor Attack in 3D Point Cloud.

Kuofeng Gao, Jiawang Bai, Baoyuan Wu, Mengxi Ya, Shu-Tao Xia

IEEE Trans. Inf. Forensics Secur., 2024

2023

Versatile Weight Attack via Flipping Limited Bits.

Jiawang Bai, Baoyuan Wu, Zhifeng Li, Shu-Tao Xia

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Adversarial Examples Generation for Deep Product Quantization Networks on Image Retrieval.

Bin Chen, Yan Feng, Tao Dai, Jiawang Bai, Yong Jiang, Shu-Tao Xia, Xuan Wang

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Beyond Sole Strength: Customized Ensembles for Generalized Vision-Language Models.

Zhihe Lu, Jiawang Bai, Xin Li, Zeyu Xiao, Xinchao Wang

CoRR, 2023

BadCLIP: Trigger-Aware Prompt Learning for Backdoor Attacks on CLIP.

Jiawang Bai, Kuofeng Gao, Shaobo Min, Shu-Tao Xia, Zhifeng Li, Wei Liu

CoRR, 2023

A Dive into SAM Prior in Image Restoration.

Zeyu Xiao, Jiawang Bai, Zhihe Lu, Zhiwei Xiong

CoRR, 2023

Can SAM Boost Video Super-Resolution?

Zhihe Lu, Zeyu Xiao, Jiawang Bai, Zhiwei Xiong, Xinchao Wang

CoRR, 2023

Reliable and Efficient Evaluation of Adversarial Robustness for Deep Hashing-Based Retrieval.

Xunguang Wang, Jiawang Bai, Xinyue Xu, Xiaomeng Li

CoRR, 2023

GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph.

Xin Li, Dongze Lian, Zhihe Lu, Jiawang Bai, Zhibo Chen, Xinchao Wang

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

Backdoor Attack on Hash-based Image Retrieval via Clean-label Data Poisoning.

Kuofeng Gao, Jiawang Bai, Bin Chen, Dongxian Wu, Shu-Tao Xia

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Multinomial random forest.

Jiawang Bai, Yiming Li, Jiawei Li, Xue Yang, Yong Jiang, Shu-Tao Xia

Pattern Recognit., 2022

Practical protection against video data leakage via universal adversarial head.

Jiawang Bai, Bin Chen, Kuofeng Gao, Xuan Wang, Shu-Tao Xia

Pattern Recognit., 2022

Improving Vision Transformers by Revisiting High-Frequency Components.

Jiawang Bai, Li Yuan, Shu-Tao Xia, Shuicheng Yan, Zhifeng Li, Wei Liu

Proceedings of the Computer Vision, 2022

Hardly Perceptible Trojan Attack Against Neural Networks with Bit Flips.

Jiawang Bai, Kuofeng Gao, Dihong Gong, Shu-Tao Xia, Zhifeng Li, Wei Liu

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Clean-label Backdoor Attack against Deep Hashing based Retrieval.

Kuofeng Gao, Jiawang Bai, Bin Chen, Dongxian Wu, Shu-Tao Xia

CoRR, 2021

Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits.

Jiawang Bai, Baoyuan Wu, Yong Zhang, Yiming Li, Zhifeng Li, Shu-Tao Xia

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Open-sourced Dataset Protection via Backdoor Watermarking.

Yiming Li, Ziqi Zhang, Jiawang Bai, Baoyuan Wu, Yong Jiang, Shu-Tao Xia

CoRR, 2020

Rectified Decision Trees: Exploring the Landscape of Interpretable and Effective Machine Learning.

Yiming Li, Jiawang Bai, Jiawei Li, Xue Yang, Yong Jiang, Shu-Tao Xia

CoRR, 2020

Targeted Attack for Deep Hashing Based Retrieval.

Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-Tao Xia, En-Hui Yang

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Rectified Decision Trees: Towards Interpretability, Compression and Empirical Soundness.

Jiawang Bai, Yiming Li, Jiawei Li, Yong Jiang, Shu-Tao Xia

CoRR, 2019

Multinomial Random Forests: Fill the Gap between Theoretical Consistency and Empirical Soundness.

Yiming Li, Jiawang Bai, Qingtao Tang, Yong Jiang, Chun Li, Shutao Xia

CoRR, 2019