most citedMan-in-the-Middle Attacks against Machine Learning Classifiers via Malicious Generative Models

3 citations · 3 across the 1 of their papers we have counts for

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3 papers

cs.CR2019★ 3 cited

Man-in-the-Middle Attacks against Machine Learning Classifiers via Malicious Generative Models

Derui, Wang, Chaoran Li +3

Deep Neural Networks (DNNs) are vulnerable to deliberately crafted adversarial examples. In the past few years, many efforts have been spent on exploring query-optimisation attacks…

cs.CR2019

STRIP: A Defence Against Trojan Attacks on Deep Neural Networks

Yansong Gao, Chang Xu, Derui Wang +3

A recent trojan attack on deep neural network (DNN) models is one insidious variant of data poisoning attacks. Trojan attacks exploit an effective backdoor created in a DNN model b…

cs.CV2019

Daedalus: Breaking Non-Maximum Suppression in Object Detection via Adversarial Examples

Derui Wang, Chaoran Li, Sheng Wen +4

This paper demonstrates that Non-Maximum Suppression (NMS), which is commonly used in Object Detection (OD) tasks to filter redundant detection results, is no longer secure. Consid…