Jiakai Wang
(王嘉凯)

Research Scientist

Zhongguancun Laboratory

I am now a Research Scientist in Zhongguancun Laboratory, Beijing, China. I received the Ph.D. degree in 2022 from Beihang University (Summa Cum Laude), supervised by Prof. Wei Li and Prof. Xianglong Liu. Before that, I obtained my BSc degree in 2018 from Beihang University (Summa Cum Laude).

My research interest is Trustworthy AI in Multimodal (Computer Vision mainly), Auto-Driving, which consists of the physical adversarial examples generation, adversarial defense and evaluation. I hold the review that physical adversarial attacks and defenses can powerfully promote the development of secure and robust artificial intelligence, leading to a healthier future society.

[Prospective students] Our group has positions for PhD students (Joint Education Programs with Beihang University), and visiting students. If you are interested, please send me an email with your CV and publications (if any).

News

[2024.10] I was invited as an Editorial Board Member of Computing and Artificial Intelligence (CAI), I will try my best to contribute to this publication.

[2024.10] I am recently studying the Diamond Sutra, which can alleviate my troubles. I am happy to introduce it to all of you.

[2024.09] One paper is accepted by the Annual Conference on Neural Information Processing Systems (NeurIPS2024).

[2024.08] One paper is accepted by Transactions on Information Forensics & Security (TIFS).

[2024.04] Two papers are accepted by IJCAI 2024 and IJCV.

[2024.04] I organize the special issue about ''Trustworthy Deep Learning in Practice'' on Electronics.

[2024.03] One paper is accepted by IEEE TIP.

[2024.02] One paper is accepted by CVPR 2024.

[2024.01] Three papers are accepted by 计算机研究与发展(Journal of Computer Research and Development), IEEE Transactions on Multimedia, and ICLR 2024.

[2023.12] One paper is accepted by 网络空间安全科学学报.

[2023.10] One paper is accepted by IEEE Symposium on Security and Privacy.

[2023.06] Two papers are accepted by IJCAI-2023 GLOW and 人工智能(AI-View).

[2023.04] One paper is accepted by TPAMI.

[2023.02] Two papers are accepted by TNNLS and CVPR2023.

[2023.01] Three papers are accepted by 智能安全, Pattern Recognition, and USENIX Security Symposium.

[2022.08] One paper is accepted by ACM CCS 2022.

[2022.07] One paper is accepted by ACM MM 2022.

[2022.07] ✊✊✊I joined in Zhongguancun Laboratory✊✊✊!!!

[2022.06] 😊😊😊I obtained my Ph.D degree😊😊😊!!!

Selected
Publications

Google Scholar

★ : equal 　contributions

♠ : corresponding author

	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 International Journal of Computer Vision (IJCV), 2024 (IF=11.4) PDF source
	Vision-aligned 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 The 33rd International Joint Conference on Artificial Intelligence (IJCAI-24), 2024 PDF source / Project page
	NAPGuard: Towards Detecting Naturalistic Adversarial Patches Siyang Wu, Jiakai Wang♠, Jiejie Zhao, Yazhe Wang, Xianglong Liu IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2024), 2024 PDF source / Project page
	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 Transactions on Multimedia (IEEE TMM), 2024 (IF=7.8) PDF source / Project page
	Transferable Multimodal Attack on Vision-Language Pre-training Models Haodi Wang, Kai Dong♠, Zhilei Zhu, Haotong Qin, Xiaolin Fang, Aishan Liu, Jiakai Wang♠, Xianglong Liu IEEE Symposium on Security and Privacy (IEEE S&P 2024), 2023 PDF source / Project page
	Harnessing Perceptual Adversarial Patches for Crowd Counting Shunchang Liu★, Jiakai Wang★, Aishan Liu♠, Yingwei Li, Yijie Gao, Xianglong Liu, Dacheng Tao ACM Conference on Computer and Communications Security (ACM CCS 2022), 2022 PDF source / Project page
	Generating Transferable Adversarial Examples against Vision Transformers Yuxuan Wang, Jiakai Wang♠, Zixin Yin, Ruihao Gong, Jingyi Wang, Aishan Liu, Xianglong Liu ACM Multimedia (ACM MM 2022), 2022 PDF source / Project page
	Defensive Patches for Robust Recognition in the Physical World Jiakai Wang, Zixin Yin, Pengfei Hu, Renshuai Tao, Haotong Qin, Xianglong Liu♠, Dacheng Tao, Aishan Liu. IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2022), 2022 PDF source / Project page
	Universal Adversarial Patch Attack for Automatic Checkout using Perceptual and Attentional Bias Jiakai Wang★, Aishan Liu★, Xiao Bai, Xianglong Liu♠ IEEE Transactions on Image Processing (TIP), 2021 (IF=10.86) PDF source / Project page
	Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World Jiakai Wang, Aishan Liu, Zixin Yin, Shunchang Liu, Shiyu Tang, Xianglong Liu♠. IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021), 2021 (Oral) PDF source / News: (机器之心) /Project page
	Bias-based Universal Adversarial Patch Attack for Automatic Check-out Aishan Liu★, Jiakai Wang★, Xianglong Liu♠, Bowen Cao, Chongzhi Zhang, Hang Yu. European Conference on Computer Vision (ECCV), 2020 PDF source / News: (新智元) /Project page
	针对音频识别智能模型的物理世界音素对抗攻击王嘉凯, 孔宇升，陈镇东，尹子鑫，胡琎，马宇晴，杨晴虹，刘祥龙♠ 计算机研究与发展 (Journal of Computer Research and Development), 2024 PDF source / Project page
	深度学习在工业互联网入侵检测中的应用孔宇升，王斐，陶冶，王嘉凯♠，王雅哲人工智能 (AI-View), 2023 PDF source
	智能系统全生命周期安全测试理论与方法王嘉凯, 刘艾杉, 李思民, 刘祥龙♠, 吴文峻智能安全 (Artificial Intelligence Security), 2022 PDF source
	人工智能机器学习模型及系统的质量要素和测试方法王嘉凯, 刘艾杉, 刘祥龙♠ 信息技术与标准化, 2020 PDF source

Awards

[2022.06] Outstanding Graduates of Beijing Province
[2022.01] Beihang University Exploring Scholarship
[2021.10] Beihang University Guorui Scholarship
[2021.10] Beihang University Merit Student
[2021.06] Beihang University First Prize Scholarship
[2021.06] Beihang University Excellent Academic Paper Award
[2020.10] Beihang University First Prize Scholarship
[2020.09] China National Scholarship (Top2%)
[2020.09] Beihang University Merit Student
[2019.10] Beihang University First Prize Scholarship
[2018.09] Beihang University Outstanding Freshman Scholarship
[2018.06] Outstanding Graduates of Beijing Province

Services

Reviewer

[2024]Invited as AISTATE, ICLR, NeurIPS, WWW, ACM MM, IJCAI, CVPR, AAAI, ECCV, TIP, TNNLS, TCSVT, Frontiers of Computer Science Reviewer.
[2024]Co-organizer of the Workshop on 4th Workshop of Adversarial Machine Learning on Computer Vision: Robustness of Foundation Models. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
[2023]Invited as NeurIPS, ICCV, ACM MM, IJCAI, CVPR, AAAI, IEEE TIP, ICME, Pattern Recognition Reviewer.
[2023]Co-organizer of the Workshop on 3rd Workshop of Adversarial Machine Learning on Computer Vision: Art of Robustness. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
[2023]Co-organizer of the Workshop on 2nd Workshop of Practical Deep Learning in the Wild, The 38th Annual AAAI Conference on Artificial Intelligence (AAAI), 2023.
[2022]Invited as NeurIPS, ACM MM, ECCV, CVPR, Reviewer.
[2022]Co-organizer of the Workshop on International Workshop on The Art of Robustness: Devil and Angel in Adversarial Machine Learning. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
[2021]Invited as ACM MM, Pattern Recognition, IET Image Processing Reviewer.
[2021]Co-organizer of the Forum on Safety and Privacy for Multimedia Systems at ChinaMM 2021.

Contact

jiakaiwang@zgclab.edu.cn
Haidian Distinct, Beijing (北京市, 海淀区)

The noble eschew ostentation

the virtuous people are pragmatic

大人不华

君子务实

Jiakai Wang(王嘉凯)