Search Results for author: Shijie Zhang

Found 15 papers, 3 papers with code

Does Your Neural Code Completion Model Use My Code? A Membership Inference Approach

1 code implementation22 Apr 2024 Yao Wan, Guanghua Wan, Shijie Zhang, Hongyu Zhang, Yulei Sui, Pan Zhou, Hai Jin, Lichao Sun

Subsequently, the membership classifier can be effectively employed to deduce the membership status of a given code sample based on the output of a target code completion model.

Code Completion Memorization

Self-organized biodiversity in biotic resource systems

no code implementations23 Nov 2023 Ju Kang, Shijie Zhang, Yiyuan Niu, Xin Wang

What determines biodiversity in nature is a prominent issue in ecology, especially in biotic resource systems that are typically devoid of cross-feeding.

Out of the Box Thinking: Improving Customer Lifetime Value Modelling via Expert Routing and Game Whale Detection

no code implementations24 Aug 2023 Shijie Zhang, Xin Yan, Xuejiao Yang, Binfeng Jia, Shuangyang Wang

In ExpLTV, we first innovatively design a deep neural network-based game whale detector that can not only infer the intrinsic order in accordance with monetary value, but also precisely identify high spenders (i. e., game whales) and low spenders.

Split-PU: Hardness-aware Training Strategy for Positive-Unlabeled Learning

1 code implementation30 Nov 2022 Chengming Xu, Chen Liu, Siqian Yang, Yabiao Wang, Shijie Zhang, Lijie Jia, Yanwei Fu

Since only part of the most confident positive samples are available and evidence is not enough to categorize the rest samples, many of these unlabeled data may also be the positive samples.

Binary Classification

Federated Unlearning for On-Device Recommendation

no code implementations20 Oct 2022 Wei Yuan, Hongzhi Yin, Fangzhao Wu, Shijie Zhang, Tieke He, Hao Wang

It removes a user's contribution by rolling back and calibrating the historical parameter updates and then uses these updates to speed up federated recommender reconstruction.

Recommendation Systems

Comprehensive Privacy Analysis on Federated Recommender System against Attribute Inference Attacks

no code implementations24 May 2022 Shijie Zhang, Wei Yuan, Hongzhi Yin

In this paper, we first design a novel attribute inference attacker to perform a comprehensive privacy analysis of the state-of-the-art federated recommender models.

Attribute Inference Attack +2

Intrinsic Bias Identification on Medical Image Datasets

no code implementations24 Mar 2022 Shijie Zhang, Lanjun Wang, Lian Ding, An-An Liu, Senhua Zhu, Dandan Tu

However, scientists and practitioners are difficult to identify implicit biases in the datasets, which causes lack of reliable unbias test datasets to valid models.

Attribute valid

PipAttack: Poisoning Federated Recommender Systems forManipulating Item Promotion

no code implementations21 Oct 2021 Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Quoc Viet Hung Nguyen, Lizhen Cui

Evaluations on two real-world datasets show that 1) our attack model significantly boosts the exposure rate of the target item in a stealthy way, without harming the accuracy of the poisoned recommender; and 2) existing defenses are not effective enough, highlighting the need for new defenses against our local model poisoning attacks to federated recommender systems.

Federated Learning Model Poisoning +1

Graph Embedding for Recommendation against Attribute Inference Attacks

no code implementations29 Jan 2021 Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Lizhen Cui, Xiangliang Zhang

Specifically, in GERAI, we bind the information perturbation mechanism in differential privacy with the recommendation capability of graph convolutional networks.

Attribute Graph Embedding +2

GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection

1 code implementation20 May 2020 Shijie Zhang, Hongzhi Yin, Tong Chen, Quoc Viet Nguyen Hung, Zi Huang, Lizhen Cui

Therefore, it is of great practical significance to construct a robust recommender system that is able to generate stable recommendations even in the presence of shilling attacks.

Recommendation Systems Representation Learning

Dunhuang Grottoes Painting Dataset and Benchmark

no code implementations10 Jul 2019 Tianxiu Yu, Shijie Zhang, Cong Lin, ShaoDi You, Jian Wu, Jiawan Zhang, Xiaohong Ding, Huili An

Follow the trend, we release the first public dataset for Dunhuang Grotto Painting restoration.

Automatic Generation of Grounded Visual Questions

no code implementations20 Dec 2016 Shijie Zhang, Lizhen Qu, ShaoDi You, Zhenglu Yang, Jiawan Zhang

In this paper, we propose the first model to be able to generate visually grounded questions with diverse types for a single image.

Question Generation Question-Generation

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