Add to ORKGDeep learning is becoming increasingly popular in real-life applications, especially in natural language processing (NLP). Users often choose training outsourcing or adopt third-party data and models due to data and computation resources being limited. In such a situation, training data and models are exposed to the public. As a result, attackers can manipulate the training process to inject some triggers into the model, which is called backdoor attack. Backdoor attack is quite stealthy and difficult to be detected because it has little inferior influence on the model's performance for the clean samples. To get a precise grasp and understanding of this problem, in this paper, we conduct a comprehensive review of backdoor attacks and defense...
Natural language processing (NLP) models based on deep neural networks (DNNs) are vulnerable to back...
The growing dependence on machine learning in real-world applications emphasizes the importance of u...
Deep learning has made tremendous success in the past decade. As a result, it is becoming widely dep...
Textual backdoor attacks are a kind of practical threat to NLP systems. By injecting a backdoor in t...
Deep learning models are vulnerable to backdoor attacks. The success rate of textual backdoor attack...
The frustratingly fragile nature of neural network models make current natural language generation (...
Deep Neural Networks are well known to be vulnerable to adversarial attacks and backdoor attacks, wh...
Deep neural network (DNN) has progressed rapidly during the past decade and DNN models have been dep...
Together with impressive advances touching every aspect of our society, AI technology based on Deep ...
Deep neural networks (DNNs) and natural language processing (NLP) systems have developed rapidly and...
Deep neural networks (DNNs) are widely deployed today, from image classification to voice recognitio...
Backdoor attack is a powerful attack algorithm to deep learning model. Recently, GNN's vulnerability...
Deep neural networks (DNNs), while accurate, are expensive to train. Many practitioners, therefore, ...
Defenses against security threats have been an interest of recent studies. Recent works have shown t...
The backdoor attack has become an emerging threat for Natural Language Processing (NLP) systems. A v...
Natural language processing (NLP) models based on deep neural networks (DNNs) are vulnerable to back...
The growing dependence on machine learning in real-world applications emphasizes the importance of u...
Deep learning has made tremendous success in the past decade. As a result, it is becoming widely dep...
Textual backdoor attacks are a kind of practical threat to NLP systems. By injecting a backdoor in t...
Deep learning models are vulnerable to backdoor attacks. The success rate of textual backdoor attack...
The frustratingly fragile nature of neural network models make current natural language generation (...
Deep Neural Networks are well known to be vulnerable to adversarial attacks and backdoor attacks, wh...
Deep neural network (DNN) has progressed rapidly during the past decade and DNN models have been dep...
Together with impressive advances touching every aspect of our society, AI technology based on Deep ...
Deep neural networks (DNNs) and natural language processing (NLP) systems have developed rapidly and...
Deep neural networks (DNNs) are widely deployed today, from image classification to voice recognitio...
Backdoor attack is a powerful attack algorithm to deep learning model. Recently, GNN's vulnerability...
Deep neural networks (DNNs), while accurate, are expensive to train. Many practitioners, therefore, ...
Defenses against security threats have been an interest of recent studies. Recent works have shown t...
The backdoor attack has become an emerging threat for Natural Language Processing (NLP) systems. A v...
Natural language processing (NLP) models based on deep neural networks (DNNs) are vulnerable to back...
The growing dependence on machine learning in real-world applications emphasizes the importance of u...
Deep learning has made tremendous success in the past decade. As a result, it is becoming widely dep...