Add to ORKGBackdoor attacks threaten Deep Neural Networks (DNNs). Towards stealthiness, researchers propose clean-label backdoor attacks, which require the adversaries not to alter the labels of the poisoned training datasets. Clean-label settings make the attack more stealthy due to the correct image-label pairs, but some problems still exist: first, traditional methods for poisoning training data are ineffective; second, traditional triggers are not stealthy which are still perceptible. To solve these problems, we propose a two-phase and image-specific triggers generation method to enhance clean-label backdoor attacks. Our methods are (1) powerful: our triggers can both promote the two phases (i.e., the backdoor implantation and activation phase) in...
Backdoor attacks mislead machine-learning models to output an attacker-specified class when presente...
The data poisoning attack has raised serious security concerns on the safety of deep neural networks...
We report a new neural backdoor attack, named Hibernated Backdoor, which is stealthy, aggressive and...
Backdoor attacks are rapidly emerging threats to deep neural networks (DNNs). In the backdoor attack...
With new applications made possible by the fusion of edge computing and artificial intelligence (AI)...
With the success of deep learning algorithms in various domains, studying adversarial attacks to sec...
Deep learning has made tremendous success in the past decade. As a result, it is becoming widely dep...
Deep neural networks (DNNs) are widely deployed today, from image classification to voice recognitio...
Due to the increasing computational demand of Deep Neural Networks (DNNs), companies and organizatio...
Backdoor attacks against CNNs represent a new threat against deep learning systems, due to the possi...
Deep neural network (DNN) has progressed rapidly during the past decade and DNN models have been dep...
We propose a stealthy clean-label video backdoor attack against Deep Learning (DL)-based models aimi...
Backdoor attack is a type of serious security threat to deep learning models.An adversary can provid...
This electronic version was submitted by the student author. The certified thesis is available in th...
The recent development and expansion of the field of artificial intelligence has led to a significan...
Backdoor attacks mislead machine-learning models to output an attacker-specified class when presente...
The data poisoning attack has raised serious security concerns on the safety of deep neural networks...
We report a new neural backdoor attack, named Hibernated Backdoor, which is stealthy, aggressive and...
Backdoor attacks are rapidly emerging threats to deep neural networks (DNNs). In the backdoor attack...
With new applications made possible by the fusion of edge computing and artificial intelligence (AI)...
With the success of deep learning algorithms in various domains, studying adversarial attacks to sec...
Deep learning has made tremendous success in the past decade. As a result, it is becoming widely dep...
Deep neural networks (DNNs) are widely deployed today, from image classification to voice recognitio...
Due to the increasing computational demand of Deep Neural Networks (DNNs), companies and organizatio...
Backdoor attacks against CNNs represent a new threat against deep learning systems, due to the possi...
Deep neural network (DNN) has progressed rapidly during the past decade and DNN models have been dep...
We propose a stealthy clean-label video backdoor attack against Deep Learning (DL)-based models aimi...
Backdoor attack is a type of serious security threat to deep learning models.An adversary can provid...
This electronic version was submitted by the student author. The certified thesis is available in th...
The recent development and expansion of the field of artificial intelligence has led to a significan...
Backdoor attacks mislead machine-learning models to output an attacker-specified class when presente...
The data poisoning attack has raised serious security concerns on the safety of deep neural networks...
We report a new neural backdoor attack, named Hibernated Backdoor, which is stealthy, aggressive and...