88 citations · 151 across the 11 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
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★ 88 cited
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★ 34 cited
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…