b'Xiaofeng Wang'

research

∙ 05/11/2023

SigRec: Automatic Recovery of Function Signatures in Smart Contracts

Millions of smart contracts have been deployed onto Ethereum for providi...

0 Ting Chen, et al. ∙

research

∙ 04/22/2023

MAWSEO: Adversarial Wiki Search Poisoning for Illicit Online Promotion

As a prominent instance of vandalism edits, Wiki search poisoning for il...

0 Zilong Lin, et al. ∙

research

∙ 04/03/2023

D-Score: A White-Box Diagnosis Score for CNNs Based on Mutation Operators

Convolutional neural networks (CNNs) have been widely applied in many sa...

0 Xin Zhang, et al. ∙

research

∙ 03/07/2023

OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception

Semantic occupancy perception is essential for autonomous driving, as au...

0 Xiaofeng Wang, et al. ∙

research

∙ 01/30/2023

CSDR-BERT: a pre-trained scientific dataset match model for Chinese Scientific Dataset Retrieval

As the number of open and shared scientific datasets on the Internet inc...

0 Xintao Chu, et al. ∙

research

∙ 01/29/2023

Gradient Shaping: Enhancing Backdoor Attack Against Reverse Engineering

Most existing methods to detect backdoored machine learning (ML) models ...

0 Rui Zhu, et al. ∙

research

∙ 01/19/2023

FE-TCM: Filter-Enhanced Transformer Click Model for Web Search

Constructing click models and extracting implicit relevance feedback inf...

0 Yingfei Wang, et al. ∙

research

∙ 12/17/2022

Are We Ready for Vision-Centric Driving Streaming Perception? The ASAP Benchmark

In recent years, vision-centric perception has flourished in various aut...

0 Xiaofeng Wang, et al. ∙

research

∙ 12/09/2022

Selective Amnesia: On Efficient, High-Fidelity and Blind Suppression of Backdoor Effects in Trojaned Machine Learning Models

In this paper, we present a simple yet surprisingly effective technique ...

0 Rui Zhu, et al. ∙

research

∙ 12/06/2022

Stealthy Peers: Understanding Security Risks of WebRTC-Based Peer-Assisted Video Streaming

As an emerging service for in-browser content delivery, peer-assisted de...

0 Siyuan Tang, et al. ∙

research

∙ 10/24/2022

An Effective Approach for Multi-label Classification with Missing Labels

Compared with multi-class classification, multi-label classification tha...

0 Xin Zhang, et al. ∙

research

∙ 10/24/2022

Depth Monocular Estimation with Attention-based Encoder-Decoder Network from Single Image

Depth information is the foundation of perception, essential for autonom...

0 Xin Zhang, et al. ∙

research

∙ 10/20/2022

G2NetPL: Generic Game-Theoretic Network for Partial-Label Image Classification

Multi-label image classification aims to predict all possible labels in ...

0 Rabab Abdelfattah, et al. ∙

research

∙ 10/12/2022

Understanding Impacts of Task Similarity on Backdoor Attack and Detection

With extensive studies on backdoor attack and detection, still fundament...

0 Di Tang, et al. ∙

research

∙ 09/14/2022

Order-Disorder: Imitation Adversarial Attacks for Black-box Neural Ranking Models

Neural text ranking models have witnessed significant advancement and ar...

0 Jiawei Liu, et al. ∙

research

∙ 08/24/2022

Scenario-Adaptive and Self-Supervised Model for Multi-Scenario Personalized Recommendation

Multi-scenario recommendation is dedicated to retrieve relevant items fo...

0 Yuanliang Zhang, et al. ∙

research

∙ 08/22/2022

PLMCL: Partial-Label Momentum Curriculum Learning for Multi-Label Image Classification

Multi-label image classification aims to predict all possible labels in ...

0 Rabab Abdelfattah, et al. ∙

research

∙ 08/19/2022

Crafting Monocular Cues and Velocity Guidance for Self-Supervised Multi-Frame Depth Learning

Self-supervised monocular methods can efficiently learn depth informatio...

0 Xiaofeng Wang, et al. ∙

research

∙ 04/15/2022

MVSTER: Epipolar Transformer for Efficient Multi-View Stereo

Learning-based Multi-View Stereo (MVS) methods warp source images into t...

6 Xiaofeng Wang, et al. ∙

research

∙ 04/14/2022

PLGAN: Generative Adversarial Networks for Power-Line Segmentation in Aerial Images

Accurate segmentation of power lines in various aerial images is very im...

5 Rabab Abdelfattah, et al. ∙

research

∙ 04/04/2022

Clues in Tweets: Twitter-Guided Discovery and Analysis of SMS Spam

With its critical role in business and service delivery through mobile d...

0 Siyuan Tang, et al. ∙

research

∙ 04/01/2022

Digital Mentor: towards a conversational bot to identify hypotheses for software startups

Software startups develop innovative, software-intensive product and ser...

0 Jorge Melegati, et al. ∙

research

∙ 03/01/2022

Keeping Fun Alive: an Experience Report on Running Online Coding Camps

The outbreak of the COVID-19 pandemic prohibited radically the collocati...

0 Ilenia Fronza, et al. ∙

research

∙ 02/24/2022

New Benchmark for Household Garbage Image Recognition

Household garbage images are usually faced with complex backgrounds, var...

0 Zhize Wu, et al. ∙

research

∙ 02/12/2022

Domain-Invariant Proposals based on a Balanced Domain Classifier for Object Detection

Object recognition from images means to automatically find object(s) of ...

11 Zhize Wu, et al. ∙

research

∙ 02/10/2022

Work-from-home and its implication for project management, resilience and innovation – a global survey on software companies

[Context] The COVID-19 pandemic has had a disruptive impact on how peopl...

0 Anh Nguyen Duc, et al. ∙

research

∙ 09/04/2021

Understanding TEE Containers, Easy to Use? Hard to Trust

As an emerging technique for confidential computing, trusted execution e...

0 Weijie Liu, et al. ∙

research

∙ 07/26/2021

HySec-Flow: Privacy-Preserving Genomic Computing with SGX-based Big-Data Analytics Framework

Trusted execution environments (TEE) such as Intel's Software Guard Exte...

0 Chathura Widanage, et al. ∙

research

∙ 06/24/2021

Context-aware Heterogeneous Graph Attention Network for User Behavior Prediction in Local Consumer Service Platform

As a new type of e-commerce platform developed in recent years, local co...

0 Peiyuan Zhu, et al. ∙

research

∙ 03/19/2021

SoK: A Modularized Approach to Study the Security of Automatic Speech Recognition Systems

With the wide use of Automatic Speech Recognition (ASR) in applications ...

0 Yuxuan Chen, et al. ∙

research

∙ 02/18/2021

HyMap: eliciting hypotheses in early-stage software startups using cognitive mapping

Context: Software startups develop innovative, software-intensive produc...

0 Jorge Melegati, et al. ∙

research

∙ 11/05/2020

Towards Dark Jargon Interpretation in Underground Forums

Dark jargons are benign-looking words that have hidden, sinister meaning...

0 Dominic Seyler, et al. ∙

research

∙ 10/20/2020

TTPLA: An Aerial-Image Dataset for Detection and Segmentation of Transmission Towers and Power Lines

Accurate detection and segmentation of transmission towers (TTs) and pow...

0 Rabab Abdelfattah, et al. ∙

research

∙ 10/07/2020

Empirical Standards for Software Engineering Research

Empirical Standards are natural-language models of a scientific communit...

0 Paul Ralph, et al. ∙

research

∙ 07/27/2020

Case Survey Studies in Software Engineering Research

Background: Given the social aspects of Software Engineering (SE), in th...

0 Jorge Melegati, et al. ∙

research

∙ 07/20/2020

Confidential Attestation: Efficient in-Enclave Verification of Privacy Policy Compliance

A trusted execution environment (TEE) such as Intel Software Guard Exten...

0 Weijie Liu, et al. ∙

research

∙ 11/20/2019

Product Innovation through Internal Startup in Large Software Companies: a Case Study

Product innovation is a risky activity, but when successful, it enables ...

0 Henry Edison, et al. ∙

research

∙ 08/02/2019

Demon in the Variant: Statistical Analysis of DNNs for Robust Backdoor Contamination Detection

A security threat to deep neural networks (DNN) is backdoor contaminatio...

0 Di Tang, et al. ∙

research

∙ 05/19/2019

Toward Scalable Fully Homomorphic Encryption Through Light Trusted Computing Assistance

It has been a long standing problem to securely outsource computation ta...

0 Wenhao Wang, et al. ∙

research

∙ 04/09/2019

Enabling Privacy-Preserving, Compute- and Data-Intensive Computing using Heterogeneous Trusted Execution Environment

There is an urgent demand for privacy-preserving techniques capable of s...

0 Jianping Zhu, et al. ∙

research

∙ 02/16/2019

LISA: a MATLAB package for Longitudinal Image Sequence Analysis

Large sequences of images (or movies) can now be obtained on an unpreced...

4 Jang Ik Cho, et al. ∙

research

∙ 01/15/2019

100+ Metrics for Software Startups - A Multi-Vocal Literature Review

Metrics can be used by businesses to make more objective decisions based...

0 Kai-Kristian Kemell, et al. ∙

research

∙ 09/24/2018

The Essence Theory of Software Engineering - Large-Scale Classroom Experiences from 450+ Software Engineering BSc Students

Software Engineering as an industry is highly diverse in terms of develo...

0 Kai-Kristian Kemell, et al. ∙

research

∙ 08/16/2018

From MVPs to pivots: a hypothesis-driven journey of two software startups

Software startups have emerged as an interesting multiperspective resear...

0 Dron Khanna, et al. ∙

research

∙ 08/08/2018

Essencery - A Tool for Essentializing Software Engineering Practices

Software Engineering practitioners work using highly diverse methods and...

0 Arthur Evensen, et al. ∙

research

∙ 05/03/2018

Understanding and Mitigating the Security Risks of Voice-Controlled Third-Party Skills on Amazon Alexa and Google Home

Virtual personal assistants (VPA) (e.g., Amazon Alexa and Google Assista...

0 Nan Zhang, et al. ∙

research

∙ 03/13/2018

Invisible Mask: Practical Attacks on Face Recognition with Infrared

Accurate face recognition techniques make a series of critical applicati...

0 Zhe Zhou, et al. ∙

research

∙ 02/23/2018

Lean Internal Startups for Software Product Innovation in Large Companies: Enablers and Inhibitors

To compete in this age of disruption, large companies cannot rely on cos...

0 Henry Edison, et al. ∙

research

∙ 02/16/2018

Innovation Initiatives in Large Software Companies: A Systematic Mapping Study

To keep the competitive advantage and adapt to changes in the market and...

0 Henry Edison, et al. ∙

research

∙ 02/13/2018

Understanding Membership Inferences on Well-Generalized Learning Models

Membership Inference Attack (MIA) determines the presence of a record in...

0 Yunhui Long, et al. ∙

Xiaofeng Wang

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