activity
20202026
most citedADI: Adversarial Dominating Inputs in Vertical Federated Learning Systems

6 citations · 20 across the 11 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CR2021★ 2 cited

Automated Side Channel Analysis of Media Software with Manifold Learning

Yuanyuan Yuan, Qi Pang, Shuai Wang

The prosperous development of cloud computing and machine learning as a service has led to the widespread use of media software to process confidential media data. This paper explo…

cs.SE2021

MDPFuzz: Testing Models Solving Markov Decision Processes

Qi Pang, Yuanyuan Yuan, Shuai Wang

The Markov decision process (MDP) provides a mathematical framework for modeling sequential decision-making problems, many of which are crucial to security and safety, such as auto…

cs.LG2021★ 2 cited

Provably Valid and Diverse Mutations of Real-World Media Data for DNN Testing

Yuanyuan Yuan, Qi Pang, Shuai Wang

Deep neural networks (DNNs) often accept high-dimensional media data (e.g., photos, text, and audio) and understand their perceptual content (e.g., a cat). To test DNNs, diverse in…

cs.LG2021★ 1 cited

Revisiting Neuron Coverage for DNN Testing: A Layer-Wise and Distribution-Aware Criterion

Yuanyuan Yuan, Qi Pang, Shuai Wang

Various deep neural network (DNN) coverage criteria have been proposed to assess DNN test inputs and steer input mutations. The coverage is characterized via neurons having certain…

cs.CR2021★ 1 cited

FED-: Privacy Preserving Federated Correlation Test

Lun Wang, Qi Pang, Shuai Wang +1

In this paper, we propose the first secure federated -test protocol Fed-. To minimize both the privacy leakage and the communication cost, we recast -test to the sec…