research
∙
04/14/2023
FairRec: Fairness Testing for Deep Recommender Systems
Deep learning-based recommender systems (DRSs) are increasingly and wide...
share
research
∙
10/28/2022
RoChBert: Towards Robust BERT Fine-tuning for Chinese
Despite of the superb performance on a wide range of tasks, pre-trained ...
research
∙
06/04/2022
CAINNFlow: Convolutional block Attention modules and Invertible Neural Networks Flow for anomaly detection and localization tasks
Detection of object anomalies is crucial in industrial processes, but un...
research
∙
09/10/2021
Counterfactual Adversarial Learning with Representation Interpolation
Deep learning models exhibit a preference for statistical fitting over l...
research
∙
06/12/2021
Incorporating External POS Tagger for Punctuation Restoration
Punctuation restoration is an important post-processing step in automati...
research
∙
03/04/2021
QAIR: Practical Query-efficient Black-Box Attacks for Image Retrieval
We study the query-based attack against image retrieval to evaluate its ...
research
∙
02/23/2021
Enhancing Model Robustness By Incorporating Adversarial Knowledge Into Semantic Representation
Despite that deep neural networks (DNNs) have achieved enormous success ...
research
∙
01/06/2021
Convergence of the Deep BSDE method for FBSDEs with non-Lipschitz coefficients
This paper is dedicated to solve high-dimensional coupled FBSDEs with no...
research
∙
08/21/2020
Learning Domain-invariant Graph for Adaptive Semi-supervised Domain Adaptation with Few Labeled Source Samples
Domain adaptation aims to generalize a model from a source domain to tac...
research
∙
07/11/2020
Deep or Simple Models for Semantic Tagging? It Depends on your Data [Experiments]
Semantic tagging, which has extensive applications in text mining, predi...
research
∙
05/29/2020
ExplainIt: Explainable Review Summarization with Opinion Causality Graphs
We present ExplainIt, a review summarization system centered around opin...
research
∙
05/07/2020
COVID-19 Contact-tracing Apps: A Survey on the Global Deployment and Challenges
In response to the coronavirus disease (COVID-19) outbreak, there is an ...
research
∙
04/07/2020
Vulnerabilities Mapping based on OWASP-SANS: a Survey for Static Application Security Testing (SAST)
The delivery of a framework in place for secure application development ...
research
∙
04/01/2020
Deep Entity Matching with Pre-Trained Language Models
We present Ditto, a novel entity matching system based on pre-trained Tr...
research
∙
03/18/2020
A Novel Twitter Sentiment Analysis Model with Baseline Correlation for Financial Market Prediction with Improved Efficiency
A novel social networks sentiment analysis model is proposed based on Tw...
research
∙
11/14/2019
Sato: Contextual Semantic Type Detection in Tables
Detecting the semantic types of data columns in relational tables is imp...
research
∙
03/04/2019
Voyageur: An Experiential Travel Search Engine
We describe Voyageur, which is an application of experiential search to ...
research
∙
02/25/2019
Subjective Databases
Online users are constantly seeking experiences, such as a hotel with cl...
research
∙
02/03/2019
Zipper Stack: Shadow Stacks Without Shadow
Return-Oriented Programming (ROP) is a typical attack technique that can...
research
∙
01/23/2019
SirenAttack: Generating Adversarial Audio for End-to-End Acoustic Systems
Despite their immense popularity, deep learning-based acoustic systems a...
research
∙
12/13/2018
TextBugger: Generating Adversarial Text Against Real-world Applications
Deep Learning-based Text Understanding (DLTU) is the backbone technique ...
research
∙
09/24/2018
