Jiakai Wang

According to our database, Jiakai Wang authored at least 48 papers between 2018 and 2024.

Collaborative distances:

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

2024

Generate Transferable Adversarial Physical Camouflages via Triplet Attention Suppression.

Jiakai Wang, Xianglong Liu, Zixin Yin, Yuxuan Wang, Jun Guo, Haotong Qin, Qingtao Wu, Aishan Liu

Int. J. Comput. Vis., November, 2024

BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance.

Haotong Qin, Xudong Ma, Yifu Ding, Xiaoyang Li, Yang Zhang, Zejun Ma, Jiakai Wang, Jie Luo, Xianglong Liu

IEEE Trans. Neural Networks Learn. Syst., August, 2024

Improving Deepfake Detection Generalization by Invariant Risk Minimization.

Zixin Yin, Jiakai Wang, Yisong Xiao, Hanqing Zhao, Tianlin Li, Wenbo Zhou, Aishan Liu, Xianglong Liu

IEEE Trans. Multim., 2024

Hierarchical Perceptual Noise Injection for Social Media Fingerprint Privacy Protection.

Simin Li, Huangxinxin Xu, Jiakai Wang, Ruixiao Xu, Aishan Liu, Fazhi He, Xianglong Liu, Dacheng Tao

IEEE Trans. Image Process., 2024

Adversarial Examples Against WiFi Fingerprint-Based Localization in the Physical World.

Jiakai Wang, Ye Tao, Yichi Zhang, Wanting Liu, Yusheng Kong, Shaolin Tan, Rongen Yan, Xianglong Liu

IEEE Trans. Inf. Forensics Secur., 2024

DynamicPAE: Generating Scene-Aware Physical Adversarial Examples in Real-Time.

Jin Hu, Xianglong Liu, Jiakai Wang, Junkai Zhang, Xianqi Yang, Haotong Qin, Yuqing Ma, Ke Xu

CoRR, 2024

BiDM: Pushing the Limit of Quantization for Diffusion Models.

Xingyu Zheng, Xianglong Liu, Yichen Bian, Xudong Ma, Yulun Zhang, Jiakai Wang, Jinyang Guo, Haotong Qin

CoRR, 2024

Behavior Backdoor for Deep Learning Models.

Jiakai Wang, Pengfei Zhang, Renshuai Tao, Jian Yang, Hao Liu, Xianglong Liu, Yunchao Wei, Yao Zhao

CoRR, 2024

MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models.

Pei Wang, Yanan Wu, Zekun Wang, Jiaheng Liu, Xiaoshuai Song, Zhongyuan Peng, Ken Deng, Chenchen Zhang, Jiakai Wang, Junran Peng, Ge Zhang, Hangyu Guo, Zhaoxiang Zhang, Wenbo Su, Bo Zheng

CoRR, 2024

Mamba2MIL: State Space Duality Based Multiple Instance Learning for Computational Pathology.

Yuqi Zhang, Xiaoqian Zhang, Jiakai Wang, Yuancheng Yang, Taiying Peng, Chao Tong

CoRR, 2024

Compromising Embodied Agents with Contextual Backdoor Attacks.

Aishan Liu, Yuguang Zhou, Xianglong Liu, Tianyuan Zhang, Siyuan Liang, Jiakai Wang, Yanjun Pu, Tianlin Li, Junqi Zhang, Wenbo Zhou, Qing Guo, Dacheng Tao

CoRR, 2024

DDK: Distilling Domain Knowledge for Efficient Large Language Models.

Jiaheng Liu, Chenchen Zhang, Jinyang Guo, Yuanxing Zhang, Haoran Que, Ken Deng, Zhiqi Bai, Jie Liu, Ge Zhang, Jiakai Wang, Yanan Wu, Congnan Liu, Wenbo Su, Jiamang Wang, Lin Qu, Bo Zheng

CoRR, 2024

D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models.

Haoran Que, Jiaheng Liu, Ge Zhang, Chenchen Zhang, Xingwei Qu, Yinghao Ma, Feiyu Duan, Zhiqi Bai, Jiakai Wang, Yuanxing Zhang, Xu Tan, Jie Fu, Wenbo Su, Jiamang Wang, Lin Qu, Bo Zheng

CoRR, 2024

R2C2-Coder: Enhancing and Benchmarking Real-world Repository-level Code Completion Abilities of Code Large Language Models.

Ken Deng, Jiaheng Liu, He Zhu, Congnan Liu, Jingxin Li, Jiakai Wang, Peng Zhao, Chenchen Zhang, Yanan Wu, Xueqiao Yin, Yuanxing Zhang, Wenbo Su, Bangyu Xiang, Tiezheng Ge, Bo Zheng

CoRR, 2024

BinaryDM: Towards Accurate Binarization of Diffusion Model.

Xingyu Zheng, Haotong Qin, Xudong Ma, Mingyuan Zhang, Haojie Hao, Jiakai Wang, Zixiang Zhao, Jinyang Guo, Xianglong Liu

CoRR, 2024

E^2-LLM: Efficient and Extreme Length Extension of Large Language Models.

Jiaheng Liu, Zhiqi Bai, Yuanxing Zhang, Chenchen Zhang, Yu Zhang, Ge Zhang, Jiakai Wang, Haoran Que, Yukang Chen, Wenbo Su, Tiezheng Ge, Jie Fu, Wenhu Chen, Bo Zheng

CoRR, 2024

Transferable Multimodal Attack on Vision-Language Pre-training Models.

Haodi Wang, Kai Dong, Zhilei Zhu, Haotong Qin, Aishan Liu, Xiaolin Fang, Jiakai Wang, Xianglong Liu

Proceedings of the IEEE Symposium on Security and Privacy, 2024

Vision-fused Attack: Advancing Aggressive and Stealthy Adversarial Text against Neural Machine Translation.

Yanni Xue, Haojie Hao, Jiakai Wang, Qiang Sheng, Renshuai Tao, Yu Liang, Pu Feng, Xianglong Liu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game.

Simin Li, Jun Guo, Jingqiao Xiu, Ruixiao Xu, Xin Yu, Jiakai Wang, Aishan Liu, Yaodong Yang, Xianglong Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

NAPGuard: Towards Detecting Naturalistic Adversarial Patches.

Siyang Wu, Jiakai Wang, Jiejie Zhao, Yazhe Wang, Xianglong Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Diverse Sample Generation: Pushing the Limit of Generative Data-Free Quantization.

Haotong Qin, Yifu Ding, Xiangguo Zhang, Jiakai Wang, Xianglong Liu, Jiwen Lu

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

A comprehensive evaluation framework for deep model robustness.

Jun Guo, Wei Bao, Jiakai Wang, Yuqing Ma, Xinghai Gao, Gang Xiao, Aishan Liu, Jian Dong, Xianglong Liu, Wenjun Wu

Pattern Recognit., May, 2023

Pre-trained Trojan Attacks for Visual Recognition.

Aishan Liu, Xinwei Zhang, Yisong Xiao, Yuguang Zhou, Siyuan Liang, Jiakai Wang, Xianglong Liu, Xiaochun Cao, Dacheng Tao

CoRR, 2023

Adversarial Examples in the Physical World: A Survey.

Jiakai Wang, Donghua Wang, Jin Hu, Siyang Wu, Tingsong Jiang, Wen Yao, Aishan Liu, Xianglong Liu

CoRR, 2023

MIR2: Towards Provably Robust Multi-Agent Reinforcement Learning by Mutual Information Regularization.

Simin Li, Ruixiao Xu, Jun Guo, Pu Feng, Jiakai Wang, Aishan Liu, Yaodong Yang, Xianglong Liu, Weifeng Lv

CoRR, 2023

Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game.

Simin Li, Jun Guo, Jingqiao Xiu, Xini Yu, Jiakai Wang, Aishan Liu, Yaodong Yang, Xianglong Liu

CoRR, 2023

Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attacks.

Simin Li, Shuing Zhang, Gujun Chen, Dong Wang, Pu Feng, Jiakai Wang, Aishan Liu, Xin Yi, Xianglong Liu

CoRR, 2023

Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence.

Simin Li, Jun Guo, Jingqiao Xiu, Pu Feng, Xin Yu, Jiakai Wang, Aishan Liu, Wenjun Wu, Xianglong Liu

CoRR, 2023

X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection.

Aishan Liu, Jun Guo, Jiakai Wang, Siyuan Liang, Renshuai Tao, Wenbo Zhou, Cong Liu, Xianglong Liu, Dacheng Tao

Proceedings of the 32nd USENIX Security Symposium, 2023

Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attacks.

Simin Li, Shuning Zhang, Gujun Chen, Dong Wang, Pu Feng, Jiakai Wang, Aishan Liu, Xin Yi, Xianglong Liu

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

2022

Universal Adversarial Patch Attack for Automatic Checkout Using Perceptual and Attentional Bias.

Jiakai Wang, Aishan Liu, Xiao Bai, Xianglong Liu

IEEE Trans. Image Process., 2022

Phonemic Adversarial Attack against Audio Recognition in Real World.

Jiakai Wang, Zhendong Chen, Zixin Yin, Qinghong Yang, Xianglong Liu

CoRR, 2022

Hierarchical Perceptual Noise Injection for Social Media Fingerprint Privacy Protection.

Simin Li, Huangxinxin Xu, Jiakai Wang, Aishan Liu, Fazhi He, Xianglong Liu, Dacheng Tao

CoRR, 2022

Generating Transferable Adversarial Examples against Vision Transformers.

Yuxuan Wang, Jiakai Wang, Zixin Yin, Ruihao Gong, Jingyi Wang, Aishan Liu, Xianglong Liu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Defensive Patches for Robust Recognition in the Physical World.

Jiakai Wang, Zixin Yin, Pengfei Hu, Aishan Liu, Renshuai Tao, Haotong Qin, Xianglong Liu, Dacheng Tao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Harnessing Perceptual Adversarial Patches for Crowd Counting.

Shunchang Liu, Jiakai Wang, Aishan Liu, Yingwei Li, Yijie Gao, Xianglong Liu, Dacheng Tao

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021

Sequential alignment attention model for scene text recognition.

Yan Wu, Jiaxin Fan, Renshuai Tao, Jiakai Wang, Haotong Qin, Aishan Liu, Xianglong Liu

J. Vis. Commun. Image Represent., 2021

RobustART: Benchmarking Robustness on Architecture Design and Training Techniques.

Shiyu Tang, Ruihao Gong, Yan Wang, Aishan Liu, Jiakai Wang, Xinyun Chen, Fengwei Yu, Xianglong Liu, Dawn Song, Alan L. Yuille, Philip H. S. Torr, Dacheng Tao

CoRR, 2021

Diverse Sample Generation: Pushing the Limit of Data-free Quantization.

Haotong Qin, Yifu Ding, Xiangguo Zhang, Aoyu Li, Jiakai Wang, Xianglong Liu, Jiwen Lu

CoRR, 2021

A Comprehensive Evaluation Framework for Deep Model Robustness.

Aishan Liu, Xianglong Liu, Jun Guo, Jiakai Wang, Yuqing Ma, Ze Zhao, Xinghai Gao, Gang Xiao

CoRR, 2021

Improving Generalization of Deepfake Detection with Domain Adaptive Batch Normalization.

Zixin Yin, Jiakai Wang, Yifu Ding, Yisong Xiao, Jun Guo, Renshuai Tao, Haotong Qin

Proceedings of the ADVM '21: Proceedings of the 1st International Workshop on Adversarial Learning for Multimedia, 2021

Adversarial Examples in Physical World.

Jiakai Wang

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Towards Real-world X-ray Security Inspection: A High-Quality Benchmark And Lateral Inhibition Module For Prohibited Items Detection.

Renshuai Tao, Yanlu Wei, Xiangjian Jiang, Hainan Li, Haotong Qin, Jiakai Wang, Yuqing Ma, Libo Zhang, Xianglong Liu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World.

Jiakai Wang, Aishan Liu, Zixin Yin, Shunchang Liu, Shiyu Tang, Xianglong Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Patch Attack for Automatic Check-out.

Aishan Liu, Jiakai Wang, Xianglong Liu, Chongzhi Zhang, Bowen Cao, Hang Yu

CoRR, 2020

A Parallel Implementation of Hypothesis-Oriented Multiple Hypothesis Tracking.

Lin Wu, Fei Wang, Yongjun Xu, Yu Jiang, Jiakai Wang

Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

Bias-Based Universal Adversarial Patch Attack for Automatic Check-Out.

Aishan Liu, Jiakai Wang, Xianglong Liu, Bowen Cao, Chongzhi Zhang, Hang Yu

Proceedings of the Computer Vision - ECCV 2020, 2020

2018

Research on Electric Micro-Meteorological Disaster Monitoring and Early Warning Technology.

Weimei Zhao, Jiakai Wang

J. Comput., 2018