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09/16/2023
Accelerating In-Browser Deep Learning Inference on Diverse Edge Clients through Just-in-Time Kernel Optimizations
Web applications are increasingly becoming the primary platform for AI s...
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08/29/2023
Empowering LLM to use Smartphone for Intelligent Task Automation
Mobile task automation is an attractive technique that aims to enable vo...
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08/29/2023
Serving MoE Models on Resource-constrained Edge Devices via Dynamic Expert Swapping
Mixture of experts (MoE) is a popular technique in deep learning that im...
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08/29/2023
Generative Model for Models: Rapid DNN Customization for Diverse Tasks and Resource Constraints
Unlike cloud-based deep learning models that are often large and uniform...
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08/22/2023
PatchBackdoor: Backdoor Attack against Deep Neural Networks without Model Modification
Backdoor attack is a major threat to deep learning systems in safety-cri...
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06/01/2023
A Comprehensive Survey on Orbital Edge Computing: Systems, Applications, and Algorithms
The number of satellites, especially those operating in low-earth orbit ...
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04/14/2023
DroidBot-GPT: GPT-powered UI Automation for Android
This paper introduces DroidBot-GPT, a tool that utilizes GPT-like large ...
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03/13/2023
AdaptiveNet: Post-deployment Neural Architecture Adaptation for Diverse Edge Environments
Deep learning models are increasingly deployed to edge devices for real-...
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04/17/2022
WhyGen: Explaining ML-powered Code Generation by Referring to Training Examples
Deep learning has demonstrated great abilities in various code generatio...
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01/05/2022
Sample Selection with Deadline Control for Efficient Federated Learning on Heterogeneous Clients
Federated Learning (FL) trains a machine learning model on distributed c...
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11/19/2021
Zero-Shot Certified Defense against Adversarial Patches with Vision Transformers
Adversarial patch attack aims to fool a machine learning model by arbitr...
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10/13/2021
Rethinking the Representational Continuity: Towards Unsupervised Continual Learning
Continual learning (CL) aims to learn a sequence of tasks without forget...
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01/18/2021
DeepPayload: Black-box Backdoor Attack on Deep Learning Models through Neural Payload Injection
Deep learning models are increasingly used in mobile applications as cri...
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05/29/2020
Beyond the Virus: A First Look at Coronavirus-themed Mobile Malware
As the COVID-19 pandemic emerges in early 2020, a number of campaigns ha...
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01/09/2019
A Deep Learning based Approach to Automated Android App Testing
Automated input generators are widely used for large-scale dynamic analy...
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08/06/2018
