@inproceedings{song2026dualbias,title={Dual Bias Suppressed Cross-scale Physical Adversarial Patch against Lane Detection},author={Song, Yumeng and Wang, Jiakai and Hu, Jin and Wang, Yizhi and Guo, Yuanfang and Jiang, Bo and Liu, Xianglong},booktitle={PRCV},year={2026},}
ACM MM 2026
MiuGS: Modality-Integrated Unified Gaussian Representation for Physical Adversarial Object Generation in 3D Detection
Zhengquan Sun, Jin Hu, Tianyuan Zhang, Fei Xiansong, Xiaoqi Jiang, Jiakai Wang, and Xianglong Liu
In Proceedings of the 34th ACM International Conference on Multimedia. Accepted; manuscript not yet public , 2026
@inproceedings{sun2026miugs,title={MiuGS: Modality-Integrated Unified Gaussian Representation for Physical Adversarial Object Generation in 3D Detection},author={Sun, Zhengquan and Hu, Jin and Zhang, Tianyuan and Xiansong, Fei and Jiang, Xiaoqi and Wang, Jiakai and Liu, Xianglong},booktitle={Proceedings of the 34th ACM International Conference on Multimedia},year={2026},}
TPAMI 2026
DynamicPAE: Generating Scene-Aware Physical Adversarial Examples in Real-Time
@article{hu2024dynamicpae,title={DynamicPAE: Generating Scene-Aware Physical Adversarial Examples in Real-Time},author={Hu, Jin and Liu, Xianglong and Wang, Jiakai and Zhang, Junkai and Yang, Xianqi and Qin, Haotong and Ma, Yuqing and Xu, Ke},selected=true,year={2026},volume={48},number={3},pages={2413-2430},journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},doi={10.1109/TPAMI.2025.3626068},}
2025
NeurIPS 2025
Exploring Semantic-constrained Adversarial Example with Instruction Uncertainty Reduction
@inproceedings{Hu2025exploring,title={Exploring Semantic-constrained Adversarial Example with Instruction Uncertainty Reduction},author={Hu, Jin and Wang, Jiakai and Jing, Linna and Li, Haolin and Liu, Haodong and Qin, Haotong and Liu, Aishan and Xu, Ke and Liu, Xianglong},booktitle={Neural Information Processing Systems (NeurIPS)},year={2025},selected=true,url={https://nips.cc/virtual/2025/poster/116399},}
ICASSP 2025
Generating Targeted Universal Adversarial Perturbation against Automatic Speech Recognition via Phoneme Tailoring
@inproceedings{zhang2025generating,title={Generating Targeted Universal Adversarial Perturbation against Automatic Speech Recognition via Phoneme Tailoring},author={Zhang, Yujun and Chen, Yanqu and Wang, Jiakai and Hu, Jin and Tao, Renshuai and Liu, Xianglong},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},pages={1--5},year={2025},organization={IEEE},selected=true,}
2023
Survey Project
Adversarial Examples in the Physical World: A Survey
@article{wang2023AdversarialSurvey,title={Adversarial Examples in the Physical World: {A} Survey},author={Wang, Jiakai and Liu, Xianglong and Hu, Jin and Wang, Donghua and Wu, Siyang and Jiang, Tingsong and Guo, Yuanfang and Liu, Aishan and Zhou, Jiantao},journal={CoRR},volume={abs/2311.01473},year={2023},url={https://doi.org/10.48550/arXiv.2311.01473},doi={10.48550/ARXIV.2311.01473},eprinttype={arXiv},eprint={2311.01473},timestamp={Tue, 07 Nov 2023 18:17:14 +0100},biburl={https://dblp.org/rec/journals/corr/abs-2311-01473.bib},bibsource={dblp computer science bibliography, https://dblp.org},selected=true,}
2022
Technical report
Evaluating the practicality of learned image compression
@article{yu2022evaluating,title={Evaluating the practicality of learned image compression},author={Yu, Hongjiu and Sun, Qiancheng and Hu, Jin and Xue, Xingyuan and Luo, Jixiang and He, Dailan and Li, Yilong and Wang, Pengbo and Wang, Yuanyuan and Dai, Yaxu and others},journal={arXiv preprint arXiv:2207.14524},selected=true,year={2022}}