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07/25/2023
Spectral-DP: Differentially Private Deep Learning through Spectral Perturbation and Filtering
Differential privacy is a widely accepted measure of privacy in the cont...
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06/27/2023
PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment
Two-party computation (2PC) is promising to enable privacy-preserving de...
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05/25/2023
MERGE: Fast Private Text Generation
Recent years have seen increasing concerns about the private inference o...
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04/24/2023
Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration
Biologically inspired Spiking Neural Networks (SNNs) have attracted sign...
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04/24/2023
PARAGRAPH2GRAPH: A GNN-based framework for layout paragraph analysis
Document layout analysis has a wide range of requirements across various...
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03/18/2023
A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models
GPT series models, such as GPT-3, CodeX, InstructGPT, ChatGPT, and so on...
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03/01/2023
How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks
The GPT-3.5 models have demonstrated impressive performance in various N...
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02/05/2023
RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation Based Private Inference
The proliferation of deep learning (DL) has led to the emergence of priv...
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09/24/2022
CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference
Recently cloud-based graph convolutional network (GCN) has demonstrated ...
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09/20/2022
PolyMPCNet: Towards ReLU-free Neural Architecture Search in Two-party Computation Based Private Inference
The rapid growth and deployment of deep learning (DL) has witnessed emer...
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09/07/2022
Securing the Spike: On the Transferabilty and Security of Spiking Neural Networks to Adversarial Examples
Spiking neural networks (SNNs) have attracted much attention for their h...
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06/11/2022
NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference Attacks
Membership inference attacks (MIAs) against machine learning models can ...
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01/16/2021
Adaptive Remote Sensing Image Attribute Learning for Active Object Detection
In recent years, deep learning methods bring incredible progress to the ...
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12/15/2020
Learning to Check Contract Inconsistencies
Contract consistency is important in ensuring the legal validity of the ...
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05/06/2020
Learning Architectures from an Extended Search Space for Language Modeling
Neural architecture search (NAS) has advanced significantly in recent ye...
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04/06/2020
Distinguish Confusing Law Articles for Legal Judgment Prediction
Legal Judgment Prediction (LJP) is the task of automatically predicting ...
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05/23/2019
MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity Interactions
Predicting interactions between structured entities lies at the core of ...
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08/22/2018
The Gap of Semantic Parsing: A Survey on Automatic Math Word Problem Solvers
Automatically solving mathematical word problems (MWPs) is challenging, ...
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04/21/2014