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09/18/2023
Online Efficient Secure Logistic Regression based on Function Secret Sharing
Logistic regression is an algorithm widely used for binary classificatio...
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09/11/2023
PAI-Diffusion: Constructing and Serving a Family of Open Chinese Diffusion Models for Text-to-image Synthesis on the Cloud
Text-to-image synthesis for the Chinese language poses unique challenges...
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08/29/2023
TransPrompt v2: A Transferable Prompting Framework for Cross-task Text Classification
Text classification is one of the most imperative tasks in natural langu...
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08/07/2023
DiffSynth: Latent In-Iteration Deflickering for Realistic Video Synthesis
In recent years, diffusion models have emerged as the most powerful appr...
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07/31/2023
On the Trustworthiness Landscape of State-of-the-art Generative Models: A Comprehensive Survey
Diffusion models and large language models have emerged as leading-edge ...
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07/19/2023
CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation
We study the task of weakly-supervised point cloud semantic segmentation...
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07/16/2023
On the Robustness of Split Learning against Adversarial Attacks
Split learning enables collaborative deep learning model training while ...
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05/24/2023
Optimal Linear Subspace Search: Learning to Construct Fast and High-Quality Schedulers for Diffusion Models
In recent years, diffusion models have become the most popular and power...
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04/04/2023
SLPerf: a Unified Framework for Benchmarking Split Learning
Data privacy concerns has made centralized training of data, which is sc...
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12/05/2022
Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning
Federated Learning (FL) is pervasive in privacy-focused IoT environments...
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08/13/2022
MaskBlock: Transferable Adversarial Examples with Bayes Approach
The transferability of adversarial examples (AEs) across diverse models ...
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07/04/2022
A Customised Text Privatisation Mechanism with Differential Privacy
In Natural Language Understanding (NLU) applications, training an effect...
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05/27/2022
Understanding Long Programming Languages with Structure-Aware Sparse Attention
Programming-based Pre-trained Language Models (PPLMs) such as CodeBERT h...
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11/02/2021
Practical and Light-weight Secure Aggregation for Federated Submodel Learning
Recently, Niu, et. al. introduced a new variant of Federated Learning (F...
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06/24/2021
Privacy Threats Analysis to Secure Federated Learning
Federated learning is emerging as a machine learning technique that trai...
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03/03/2021
Weakly-Supervised Open-Retrieval Conversational Question Answering
Recent studies on Question Answering (QA) and Conversational QA (ConvQA)...
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01/22/2021
DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation
Image segmentation is one of the most essential biomedical image process...
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12/17/2020
Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design
Deep Neural Networks (DNNs) have achieved remarkable progress in various...
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11/25/2020
Learning to Expand: Reinforced Pseudo-relevance Feedback Selection for Information-seeking Conversations
Intelligent personal assistant systems for information-seeking conversat...
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11/23/2020
Improving Federated Relational Data Modeling via Basis Alignment and Weight Penalty
Federated learning (FL) has attracted increasing attention in recent yea...
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11/18/2020
EasyTransfer – A Simple and Scalable Deep Transfer Learning Platform for NLP Applications
The literature has witnessed the success of applying deep Transfer Learn...
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11/14/2020
A Theoretical Perspective on Differentially Private Federated Multi-task Learning
In the era of big data, the need to expand the amount of data through da...
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09/24/2020
Privacy-preserving Transfer Learning via Secure Maximum Mean Discrepancy
The success of machine learning algorithms often relies on a large amoun...
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09/04/2020
A Comprehensive Analysis of Information Leakage in Deep Transfer Learning
Transfer learning is widely used for transferring knowledge from a sourc...
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05/29/2020
A Hierarchical Deep Convolutional Neural Network and Gated Recurrent Unit Framework for Structural Damage Detection
Structural damage detection has become an interdisciplinary area of inte...
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05/22/2020
Open-Retrieval Conversational Question Answering
Conversational search is one of the ultimate goals of information retrie...
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05/13/2020
End-to-end Semantics-based Summary Quality Assessment for Single-document Summarization
ROUGE is the de facto criterion for summarization research. However, its...
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03/05/2020
InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance
The insurance industry has been creating innovative products around the ...
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02/03/2020
IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems
Personal assistant systems, such as Apple Siri, Google Assistant, Amazon...
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10/05/2019
Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics
Bayesian deep learning is recently regarded as an intrinsic way to chara...
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08/26/2019
Attentive History Selection for Conversational Question Answering
Conversational question answering (ConvQA) is a simplified but concrete ...
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06/18/2019
TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial
With the explosive growth of e-commerce and the booming of e-payment, de...
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03/12/2019
Semi-Supervised Self-Taught Deep Learning for Finger Bones Segmentation
Segmentation stands at the forefront of many high-level vision tasks. In...
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08/29/2018
Review Helpfulness Prediction with Embedding-Gated CNN
Product reviews, in the form of texts dominantly, significantly help con...
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11/03/2017
PS-DBSCAN: An Efficient Parallel DBSCAN Algorithm Based on Platform Of AI (PAI)
We present PS-DBSCAN, a communication efficient parallel DBSCAN algorith...
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05/26/2017
