Web applications are increasingly becoming the primary platform for AI
s...
Mobile task automation is an attractive technique that aims to enable
vo...
Mixture of experts (MoE) is a popular technique in deep learning that
im...
Unlike cloud-based deep learning models that are often large and uniform...
Backdoor attack is a major threat to deep learning systems in safety-cri...
The number of satellites, especially those operating in low-earth orbit
...
This paper introduces DroidBot-GPT, a tool that utilizes GPT-like large
...
Deep learning models are increasingly deployed to edge devices for real-...
Deep learning has demonstrated great abilities in various code generatio...
Federated Learning (FL) trains a machine learning model on distributed
c...
Adversarial patch attack aims to fool a machine learning model by arbitr...
Continual learning (CL) aims to learn a sequence of tasks without forget...
Deep learning models are increasingly used in mobile applications as cri...
As the COVID-19 pandemic emerges in early 2020, a number of campaigns ha...
Automated input generators are widely used for large-scale dynamic analy...
Personalized services are in need of a rich and powerful personal knowle...