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07/23/2023
Backdoor Attacks against Voice Recognition Systems: A Survey
Voice Recognition Systems (VRSs) employ deep learning for speech recogni...
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07/18/2023
Llama 2: Open Foundation and Fine-Tuned Chat Models
In this work, we develop and release Llama 2, a collection of pretrained...
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06/23/2023
TrustGuard: GNN-based Robust and Explainable Trust Evaluation with Dynamicity Support
Trust evaluation assesses trust relationships between entities and facil...
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03/31/2023
A Survey on Automated Program Repair Techniques
With the rapid development and large-scale popularity of program softwar...
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10/16/2022
Streaming PAC-Bayes Gaussian process regression with a performance guarantee for online decision making
As a powerful Bayesian non-parameterized algorithm, the Gaussian process...
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11/06/2021
TND-NAS: Towards Non-differentiable Objectives in Progressive Differentiable NAS Framework
Differentiable architecture search has gradually become the mainstream r...
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06/27/2021
An efficient and secure scheme of verifiable computation for Intel SGX
Cloud computing offers resource-constrained users big-volume data storag...
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03/18/2021
Interpretation-enabled Software Reuse Detection Based on a Multi-Level Birthmark Model
Software reuse, especially partial reuse, poses legal and security threa...
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02/07/2021
PAC-Bayes Bounds for Meta-learning with Data-Dependent Prior
By leveraging experience from previous tasks, meta-learning algorithms c...
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08/04/2020
GenCos' Behaviors Modeling Based on Q Learning Improved by Dichotomy
Q learning is widely used to simulate the behaviors of generation compan...
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04/24/2020
6G White paper: Research challenges for Trust, Security and Privacy
The roles of trust, security and privacy are somewhat interconnected, bu...
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12/18/2019
Enjoy the Untrusted Cloud: A Secure, Scalable and Efficient SQL-like Query Framework for Outsourcing Data
While the security of the cloud remains a concern, a common practice is ...
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07/10/2019
DOB-Net: Actively Rejecting Unknown Excessive Time-Varying Disturbances
This paper presents an observer-integrated Reinforcement Learning (RL) a...
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06/24/2019
An Empirical Comparison of FAISS and FENSHSES for Nearest Neighbor Search in Hamming Space
In this paper, we compare the performances of FAISS and FENSHSES on near...
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02/20/2019
Empowering Elasticsearch with Exact and Fast r-Neighbor Search in Hamming Space
A growing interest has been witnessed recently in building nearest neigh...
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12/22/2018
Deep Uncertainty Learning: A Machine Learning Approach for Weather Forecasting
This paper uses the weather forecasting as an application background to ...
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12/22/2018
Deep Prediction Interval for Weather Forecasting
Currently there exists a gap between deep learning and the techniques re...
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06/23/2018
Towards Practical Visual Search Engine within Elasticsearch
In this paper, we describe our end-to-end content-based image retrieval ...
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06/19/2018
End-to-End Neural Ranking for eCommerce Product Search: an application of task models and textual embeddings
We consider the problem of retrieving and ranking items in an eCommerce ...
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04/01/2018