Search Results for author: Xiaofeng Chen

Found 10 papers, 4 papers with code

Modeling Compositionality with Dependency Graph for Dialogue Generation

no code implementations NAACL (SUKI) 2022 Xiaofeng Chen, YiRong Chen, Xiaofen Xing, Xiangmin Xu, Wenjing Han, Qianfeng Tie

Because of the compositionality of natural language, syntactic structure which contains the information about the relationship between words is a key factor for semantic understanding.

Dialogue Generation

Mixture Data for Training Cannot Ensure Out-of-distribution Generalization

no code implementations25 Dec 2023 Songming Zhang, Yuxiao Luo, Qizhou Wang, Haoang Chi, Xiaofeng Chen, Bo Han, Jinyan Li

Deep neural networks often face generalization problems to handle out-of-distribution (OOD) data, and there remains a notable theoretical gap between the contributing factors and their respective impacts.

Data Augmentation Out-of-Distribution Generalization

Revisiting Knowledge Distillation under Distribution Shift

1 code implementation25 Dec 2023 Songming Zhang, Ziyu Lyu, Xiaofeng Chen

Knowledge distillation transfers knowledge from large models into small models, and has recently made remarkable achievements.

Data Augmentation Diversity +1

SAME: Sample Reconstruction against Model Extraction Attacks

1 code implementation17 Dec 2023 Yi Xie, Jie Zhang, Shiqian Zhao, Tianwei Zhang, Xiaofeng Chen

While deep learning models have shown significant performance across various domains, their deployment needs extensive resources and advanced computing infrastructure.

Model extraction

Explaining Adversarial Robustness of Neural Networks from Clustering Effect Perspective

1 code implementation ICCV 2023 Yulin Jin, XiaoYu Zhang, Jian Lou, Xu Ma, Zilong Wang, Xiaofeng Chen

The experimental evaluations manifest the superiority of SAT over other state-of-the-art AT mechanisms in defending against adversarial attacks against both output and intermediate layers.

Adversarial Attack Adversarial Robustness +1

ERM-KTP: Knowledge-Level Machine Unlearning via Knowledge Transfer

1 code implementation CVPR 2023 Shen Lin, XiaoYu Zhang, Chenyang Chen, Xiaofeng Chen, Willy Susilo

When receiving the unlearning requests, we transfer the knowledge of the non-target data points from the original model to the unlearned model and meanwhile prohibit the knowledge of the target data points via our proposed knowledge transfer and prohibition (KTP) method.

Machine Unlearning Transfer Learning

Deep Hierarchy Quantization Compression algorithm based on Dynamic Sampling

no code implementations30 Dec 2022 Wan Jiang, Gang Liu, Xiaofeng Chen, Yipeng Zhou

Unlike traditional distributed machine learning, federated learning stores data locally for training and then aggregates the models on the server, which solves the data security problem that may arise in traditional distributed machine learning.

Federated Learning Quantization

Privacy Inference Attacks and Defenses in Cloud-based Deep Neural Network: A Survey

no code implementations13 May 2021 XiaoYu Zhang, Chao Chen, Yi Xie, Xiaofeng Chen, Jun Zhang, Yang Xiang

This survey presents the most recent findings of privacy attacks and defenses appeared in cloud-based neural network services.

Cloud Computing

Publicly Verifiable Databases With All Efficient Updating Operations

no code implementations IEEE Transactions on Knowledge and Data Engineering 2020 Xiaofeng Chen, Hui Li, Jin Li, Qian Wang, Xinyi Huang, Willy Susilo, and Yang Xiang

As a result, it remains an open problem how to construct an efficient (and publicly verifiable) VDB scheme that can support all updating operations regardless of the manner of insertion.

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