CipherDM: Secure Three-Party Inference for Diffusion Model Sampling
Xin, Zhao. (2024). "CipherDM: Secure Three-Party Inference for Diffusion Model Sampling." ECCV2024.
Xin, Zhao. (2024). "CipherDM: Secure Three-Party Inference for Diffusion Model Sampling." ECCV2024.
Bisheng, Tang. (2024). "Graph Federated Learning with Center Moment Constraints for Node Classification." ICPP2024.
Xudong, Chen. (2024). "Roger: A Round Optimized GPU-Friendly Secure Inference Framework." ICC2024.
Tingyu, Fan. (2024). "COMET: Communication-Efficient Batch Secure Three-Party Neural Network Inference with Client-Aiding." ICC2024.
Xiaoying, Li. (2023). "Unsupervised Graph Structure-Aided Personalized Federated Learning ." ECAI2023.
Yuexin, Xuan. (2023). "Practical and General Backdoor Attacks against Vertical Federated Learning ." ECML 2023.
Bisheng, Tang. (2023). "Generalized heterophily graph data augmentation for node classification." Neural Networks.
Shaopu, Wang. (2022). "PrUE: Distilling Knowledge from Sparse Teacher Networks." ECML-PKDD2022.
Ye, Dong. (2023). "Meteor: Improved Secure 3-Party Neural Network Inference with Reducing Online Communication Costs." WWW2023.
Ye, Dong. (2023). "FlexBNN: Fast Private Binary Neural Network Inference With Flexible Bit-Width." IEEE Transactions on Information Forensics and Security.
Yuexin, Xuan. (2022). "ACTSS: Input Detection Defense against Backdoor Attacks via Activation Subset Scanning." IJCNN2022.
Bisheng, Tang. (2022). "KAFNN: A Knowledge Augmentation Framework to Graph Neural Networks." IJCNN2022.
Bisheng, Tang. (2023). "Rethinking the Feature Iteration Process of Graph Convolution Networks." IJCNN2022.
Zhendong, Zhao. (2022). "DEFEAT: Deep Hidden Feature Backdoor Attacks by Imperceptible Perturbation and Latent Representation Constraints." CVPR2022.
Ye, Dong. (2023). "FLOD:Oblivious Defender for Private Byzantine-Robust Federated Learning with Dishonest-Majority." ESORICS 2021.
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA
Talk at London School of Testing, London, UK
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA
Talk at UC San Francisco, Department of Testing, San Francisco, California