42 citations · 207 across the 76 of their papers we have counts for
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L-RED: Efficient Post-Training Detection of Imperceptible Backdoor Attacks without Access to the Training Set
Zhen Xiang, David J. Miller, George Kesidis
Backdoor attacks (BAs) are an emerging form of adversarial attack typically against deep neural network image classifiers. The attacker aims to have the classifier learn to classif…
Reverse Engineering Imperceptible Backdoor Attacks on Deep Neural Networks for Detection and Training Set Cleansing
Zhen Xiang, David J. Miller, George Kesidis
Backdoor data poisoning is an emerging form of adversarial attack usually against deep neural network image classifiers. The attacker poisons the training set with a relatively sma…
CASH: A Credit Aware Scheduling for Public Cloud Platforms
Aakash Sharma, Saravanan Dhakshinamurthy, George Kesidis +1
The public cloud offers a myriad of services which allows its tenants to process large scale big data in a flexible, easy and cost effective manner. Tenants generally use large sca…