Efficient Generation of Speech Adversarial Examples with Generative Model. - Donghua Wang 001; Rangding Wang; Li Dong 006; Diqun Yan; Yiming Ren (IWDW, 2020)

Adversarial Examples Attack and Countermeasure for Speech Recognition System: A Survey. - Donghua Wang 001; Rangding Wang; Li Dong 006; Diqun Yan; Xueyuan Zhang; Yongkang Gong (SPDE, 2020)

Targeted Speech Adversarial Example Generation With Generative Adversarial Network. - Donghua Wang 001; Li Dong 006; Rangding Wang; Diqun Yan; Jie Wang 028 (IEEE Access, 2020)

Fast speech adversarial example generation for keyword spotting system with conditional GAN. - Donghua Wang 001; Li Dong 006; Rangding Wang; Diqun Yan (Comput. Commun., 2021)

Defending and Detecting Audio Adversarial Example using Frame Offsets. - Yongkang Gong; Diqun Yan; Terui Mao; Donghua Wang 001; Rangding Wang (KSII Trans. Internet Inf. Syst., 2021)

FCA: Learning a 3D Full-Coverage Vehicle Camouflage for Multi-View Physical Adversarial Attack. - Donghua Wang 001; Tingsong Jiang; Jialiang Sun; Weien Zhou; Zhiqiang Gong; Xiaoya Zhang; Wen Yao; Xiaoqian Chen (AAAI, 2022)

A Survey on Physical Adversarial Attack in Computer Vision. - Donghua Wang 001; Wen Yao; Tingsong Jiang; Guijian Tang; Xiaoqian Chen (CoRR, 2022)

RFLA: A Stealthy Reflected Light Adversarial Attack in the Physical World. - Donghua Wang 001; Wen Yao; Tingsong Jiang; Chao Li 076; Xiaoqian Chen (ICCV, 2023)

A Plug-and-Play Defensive Perturbation for Copyright Protection of DNN-based Applications. - Donghua Wang 001; Wen Yao; Tingsong Jiang; Weien Zhou; Lang Lin; Xiaoqian Chen (CoRR, 2023)

Impact of Light and Shadow on Robustness of Deep Neural Networks. - Chengyin Hu; Weiwen Shi; Chao Li 076; Jialiang Sun; Donghua Wang 001; Junqi Wu 002; Guijian Tang (CoRR, 2023)

Adversarial Examples in the Physical World: A Survey. - Jiakai Wang; Donghua Wang 001; Jin Hu; Siyang Wu; Tingsong Jiang; Wen Yao; Aishan Liu; Xianglong Liu 001 (CoRR, 2023)

Universal Perturbation-based Secret Key-Controlled Data Hiding. - Donghua Wang 001; Wen Yao; Tingsong Jiang; Xiaoqian Chen (CoRR, 2023)

Differential evolution based dual adversarial camouflage: Fooling human eyes and object detectors. - Jialiang Sun; Wen Yao; Tingsong Jiang; Donghua Wang 001; Xiaoqian Chen (Neural Networks, 2023)

Natural Weather-Style Black-Box Adversarial Attacks Against Optical Aerial Detectors. - Guijian Tang; Wen Yao; Tingsong Jiang; Weien Zhou; Yang Yang; Donghua Wang 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

QRPatch: A Deceptive Texture-Based Black-Box Adversarial Attacks with Genetic Algorithm. - Chao Li 076; Wen Yao; Handing Wang; Tingsong Jiang; Donghua Wang 001; Jialiang Sun (CEC, 2024)

Improving the Transferability of Adversarial Examples by Feature Augmentation. - Donghua Wang 001; Wen Yao; Tingsong Jiang; Xiaohu Zheng; Junqi Wu 002; Xiaoqian Chen (CoRR, 2024)

An invisible, robust copyright protection method for DNN-generated content. - Donghua Wang 001; Wen Yao; Tingsong Jiang; Weien Zhou; Lang Lin; Xiaoqian Chen (Neural Networks, 2024)

AdvOps: Decoupling adversarial examples. - Donghua Wang 001; Wen Yao; Tingsong Jiang; Xiaoqian Chen (Pattern Recognit., 2024)

Improving Transferability of Universal Adversarial Perturbation With Feature Disruption. - Donghua Wang 001; Wen Yao; Tingsong Jiang; Xiaoqian Chen (IEEE Trans. Image Process., 2024)

Optimizing Latent Variables in Integrating Transfer and Query Based Attack Framework. - Chao Li 076; Tingsong Jiang; Handing Wang; Wen Yao; Donghua Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Universal Multi-View Black-Box Attack Against Object Detectors via Layout Optimization. - Donghua Wang 001; Wen Yao; Tingsong Jiang; Chao Li 076; Xiaoqian Chen (IEEE Trans. Circuits Syst. Video Technol., 2025)

Improving the Transferability of Adversarial Examples by Feature Augmentation. - Donghua Wang 001; Wen Yao; Tingsong Jiang; Xiaohu Zheng; Junqi Wu 002 (IEEE Trans. Neural Networks Learn. Syst., 2025)