Jiakai Wang
Jiakai Wang
Zhongguancun Laboratory
Verified email at - Homepage
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Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World
J Wang, A Liu, Z Yin, S Liu, S Tang, X Liu
Bias-based universal adversarial patch attack for automatic check-out
A Liu, J Wang, X Liu, B Cao, C Zhang, H Yu
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Robustart: Benchmarking robustness on architecture design and training techniques
S Tang, R Gong, Y Wang, A Liu, J Wang, X Chen, F Yu, X Liu, D Song, ...
arXiv preprint arXiv:2109.05211, 2021
Towards real-world X-ray security inspection: A high-quality benchmark and lateral inhibition module for prohibited items detection
R Tao, Y Wei, X Jiang, H Li, H Qin, J Wang, Y Ma, L Zhang, X Liu
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
{X-Adv}: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection
A Liu, J Guo, J Wang, S Liang, R Tao, W Zhou, C Liu, X Liu, D Tao
32nd USENIX Security Symposium (USENIX Security 23), 3781-3798, 2023
Universal adversarial patch attack for automatic checkout using perceptual and attentional bias
J Wang, A Liu, X Bai, X Liu
IEEE Transactions on Image Processing 31, 598-611, 2021
Adversarial Examples in Physical World.
J Wang
IJCAI, 4925-4926, 2021
Harnessing perceptual adversarial patches for crowd counting
S Liu, J Wang, A Liu, Y Li, Y Gao, X Liu, D Tao
Proceedings of the 2022 ACM SIGSAC conference on computer and communications …, 2022
A comprehensive evaluation framework for deep model robustness
J Guo, W Bao, J Wang, Y Ma, X Gao, G Xiao, A Liu, J Dong, X Liu, W Wu
Pattern Recognition 137, 109308, 2023
Defensive patches for robust recognition in the physical world
J Wang, Z Yin, P Hu, A Liu, R Tao, H Qin, X Liu, D Tao
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
Generating transferable adversarial examples against vision transformers
Y Wang, J Wang, Z Yin, R Gong, J Wang, A Liu, X Liu
Proceedings of the 30th ACM International Conference on Multimedia, 5181-5190, 2022
Sequential alignment attention model for scene text recognition
Y Wu, J Fan, R Tao, J Wang, H Qin, A Liu, X Liu
Journal of Visual Communication and Image Representation 80, 103289, 2021
Bifsmnv2: Pushing binary neural networks for keyword spotting to real-network performance
H Qin, X Ma, Y Ding, X Li, Y Zhang, Z Ma, J Wang, J Luo, X Liu
IEEE Transactions on Neural Networks and Learning Systems, 2023
Towards benchmarking and assessing visual naturalness of physical world adversarial attacks
S Li, S Zhang, G Chen, D Wang, P Feng, J Wang, A Liu, X Yi, X Liu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Diverse sample generation: Pushing the limit of generative data-free quantization
H Qin, Y Ding, X Zhang, J Wang, X Liu, J Lu
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Attacking cooperative multi-agent reinforcement learning by adversarial minority influence
S Li, J Guo, J Xiu, P Feng, X Yu, A Liu, W Wu, X Liu
arXiv preprint arXiv:2302.03322, 2023
Improving generalization of deepfake detection with domain adaptive batch normalization
Z Yin, J Wang, Y Ding, Y Xiao, J Guo, R Tao, H Qin
Proceedings of the 1st International Workshop on Adversarial Learning for …, 2021
Diverse Sample Generation: Pushing the Limit of Generative Data-free Quantization
H Qin, Y Ding, X Zhang, J Wang, X Liu, J Lu
arXiv preprint arXiv:2109.00212, 2021
Pre-trained trojan attacks for visual recognition
A Liu, X Zhang, Y Xiao, Y Zhou, S Liang, J Wang, X Liu, X Cao, D Tao
arXiv preprint arXiv:2312.15172, 2023
Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game
S Li, J Guo, J Xiu, X Yu, J Wang, A Liu, Y Yang, X Liu
arXiv preprint arXiv:2305.12872, 2023
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