Resilience of Pruned Neural Network Against Poisoning Attack. - Bingyin Zhao; Yingjie Lao (MALWARE, 2018)

Class-Oriented Poisoning Attack. - Bingyin Zhao; Yingjie Lao (CoRR, 2020)

CLPA: Clean-Label Poisoning Availability Attacks Using Generative Adversarial Nets. - Bingyin Zhao; Yingjie Lao (AAAI, 2022)

Towards Class-Oriented Poisoning Attacks Against Neural Networks. - Bingyin Zhao; Yingjie Lao (WACV, 2022)

NNTesting: Neural Network Fault Attacks Detection Using Gradient-Based Test Vector Generation. - Antian Wang; Bingyin Zhao; Weihang Tan; Yingjie Lao (DAC, 2023)

Fully Attentional Networks with Self-emerging Token Labeling. - Bingyin Zhao; Zhiding Yu; Shiyi Lan; Yutao Cheng; Anima Anandkumar; Yingjie Lao; José M. Álvarez 004 (ICCV, 2023)

UltraClean: A Simple Framework to Train Robust Neural Networks against Backdoor Attacks. - Bingyin Zhao; Yingjie Lao (CoRR, 2023)

Data-Driven Feature Selection Framework for Approximate Circuit Design. - Bingyin Zhao; Ling Qiu; Yingjie Lao (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

UIBDiffusion: Universal Imperceptible Backdoor Attack for Diffusion Models. - Yuning Han; Bingyin Zhao; Rui Chu; Feng Luo; Biplab Sikdar 001; Yingjie Lao (CVPR, 2025)

TabTreeFormer: Tabular Data Generation Using Hybrid Tree-Transformer. - Jiayu Li; Bingyin Zhao; Zilong Zhao; Kevin Yee; Uzair Javaid; Biplab Sikdar 001 (CoRR, 2025)