Search Results for author: Na Ruan

Found 6 papers, 1 papers with code

Temporal Gradient Inversion Attacks with Robust Optimization

no code implementations13 Jun 2023 Bowen Li, Hanlin Gu, Ruoxin Chen, Jie Li, Chentao Wu, Na Ruan, Xueming Si, Lixin Fan

We investigate a Temporal Gradient Inversion Attack with a Robust Optimization framework, called TGIAs-RO, which recovers private data without any prior knowledge by leveraging multiple temporal gradients.

Federated Learning Privacy Preserving

Adversarial Representation Sharing: A Quantitative and Secure Collaborative Learning Framework

no code implementations27 Mar 2022 Jikun Chen, Feng Qiang, Na Ruan

Then we present ARS, a collaborative learning framework wherein users share representations of data to train models, and add imperceptible adversarial noise to data representations against reconstruction or attribute extraction attacks.

Attribute Attribute Extraction +3

Label Smoothing and Adversarial Robustness

no code implementations17 Sep 2020 Chaohao Fu, Hongbin Chen, Na Ruan, Weijia Jia

We find that training model with label smoothing can easily achieve striking accuracy under most gradient-based attacks.

Adversarial Attack Adversarial Robustness

FraudJudger: Real-World Data Oriented Fraud Detection on Digital Payment Platforms

no code implementations5 Sep 2019 Ruoyu Deng, Na Ruan

Based on the new paradigm, we design a novel fraud detection model, FraudJudger, to analyze users behaviors on digital payment platforms and detect fraud users with fewer labeled data in training.

Fraud Detection

Time-sync Video Tag Extraction Using Semantic Association Graph

no code implementations3 May 2019 Wenmian Yang, Kun Wang, Na Ruan, Wenyuan Gao, Weijia Jia, Wei Zhao, Nan Liu, Yunyong Zhang

Finally, we gain the weight of each word by combining Semantic Weight (SW) and Inverse Document Frequency (IDF).

TAG

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