Search Results for author: Fei Kong

Found 9 papers, 3 papers with code

ACT: Adversarial Consistency Models

no code implementations23 Nov 2023 Fei Kong, Jinhao Duan, Lichao Sun, Hao Cheng, Renjing Xu, HengTao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu

Though diffusion models excel in image generation, their step-by-step denoising leads to slow generation speeds.

Denoising Image Inpainting

Exposing the Fake: Effective Diffusion-Generated Images Detection

no code implementations12 Jul 2023 RuiPeng Ma, Jinhao Duan, Fei Kong, Xiaoshuang Shi, Kaidi Xu

Image synthesis has seen significant advancements with the advent of diffusion-based generative models like Denoising Diffusion Probabilistic Models (DDPM) and text-to-image diffusion models.

Denoising Image Generation

An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization

1 code implementation26 May 2023 Fei Kong, Jinhao Duan, RuiPeng Ma, HengTao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu

Therefore, we also explore the robustness of diffusion models to MIA in the text-to-speech (TTS) task, which is an audio generation task.

Audio Generation Inference Attack +1

Are Diffusion Models Vulnerable to Membership Inference Attacks?

1 code implementation2 Feb 2023 Jinhao Duan, Fei Kong, Shiqi Wang, Xiaoshuang Shi, Kaidi Xu

In this paper, we investigate the vulnerability of diffusion models to Membership Inference Attacks (MIAs), a common privacy concern.

Image Generation

Improving Low-resource Reading Comprehension via Cross-lingual Transposition Rethinking

no code implementations11 Jul 2021 Gaochen Wu, Bin Xu, Yuxin Qin, Fei Kong, Bangchang Liu, Hongwen Zhao, Dejie Chang

To address this issue, we propose a Cross-Lingual Transposition ReThinking (XLTT) model by modelling existing high-quality extractive reading comprehension datasets in a multilingual environment.

Reading Comprehension

PatentMiner: Patent Vacancy Mining via Context-enhanced and Knowledge-guided Graph Attention

no code implementations10 Jul 2021 Gaochen Wu, Bin Xu, Yuxin Qin, Fei Kong, Bangchang Liu, Hongwen Zhao, Dejie Chang

In this paper, we propose a new patent vacancy prediction approach named PatentMiner to mine rich semantic knowledge and predict new potential patents based on knowledge graph (KG) and graph attention mechanism.

Graph Attention Link Prediction +3

DiaKG: an Annotated Diabetes Dataset for Medical Knowledge Graph Construction

1 code implementation31 May 2021 Dejie Chang, Mosha Chen, Chaozhen Liu, LiPing Liu, Dongdong Li, Wei Li, Fei Kong, Bangchang Liu, Xiaobin Luo, Ji Qi, Qiao Jin, Bin Xu

In order to accelerate the research for domain-specific knowledge graphs in the medical domain, we introduce DiaKG, a high-quality Chinese dataset for Diabetes knowledge graph, which contains 22, 050 entities and 6, 890 relations in total.

graph construction Knowledge Graphs +4

Deforming vertex algebras by vertex bialgebras

no code implementations5 Jan 2021 Naihuan Jing, Fei Kong, Haisheng Li, Shaobin Tan

This is a continuation of a previous study initiated by one of us on nonlocal vertex bialgebras and smash product nonlocal vertex algebras.

Quantum Algebra

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