Peng Liu

An Empirical Study of Web Vulnerability Discovery Ecosystems

2015

In recent years, many organizations have established bounty programs that attract white hat hackers who contribute vulnerability reports of web systems. In this paper, we collect publicly available data of two representative web vulnerability discovery …

Streaming Remote Sensing Data Processing for the Future Smart Cities

2016 · International Journal of Distributed Systems and Technologies

The explosion of data and the increase in processing complexity, together with the increasing needs of real-time processing and concurrent data access, make remote sensing data streaming processing a wide research area to study. This …

A high semantic representation for abnormal events detection in crowded scenes

2016

Many crowd abnormal motion detection methods in video surveillance have been proposed in resent years. However, most of them are based on low semantic features, such gray value, velocity and gradient. Usually, low semantic features …

Study on Bilingual Teaching Reform of Applied Business Talent SPI Ability Chain

2018 · Proceedings of the 2018 4th International Conference on Social Science and Higher Education (ICSSHE 2018)

This thesis aimed to improve the ability of appliedtype business talents through the implementation of bilingual teaching under the background of education internationalization. By using field research and comparative analysis me thods, it discovered that …

EEJE: Two-Step Input Transformation for Robust DNN Against Adversarial Examples

2020 · IEEE Transactions on Network Science and Engineering

Adversarial examples are human-imperceptible perturbations to inputs to machine learning models. While attacking machine learning models, adversarial examples cause the model to make a false positive or a false negative. So far, two representative defense …

High-Performance Password Recovery Hardware Going From GPU to Hybrid CPU-FPGA Platform

2020 · IEEE Consumer Electronics Magazine

Password recovery has a high demand for computing power. This article aims to provide an overview of password recovery systems, including the basic concepts of password recovery, the popular hardware platforms ranging from the traditional …

POI Recommendation with Federated Learning and Privacy Preserving in Cross Domain Recommendation

2021

Point-of-Interest (POI) recommendation is one of the most popular recommendation methodologies. However, POI data is very sensitive and sparse. Users' reluctance to share their context information due to privacy concerns, along with the cold-start problem …

Position paper: GPT conjecture: understanding the trade-offs between granularity, performance and timeliness in control-flow integrity

2021 · Cybersecurity

Abstract Performance/security trade-off is widely noticed in CFI research, however, we observe that not every CFI scheme is subject to the trade-off. Motivated by the key observation, we ask three questions: ➊ does trade-off really …

Modeling Graph Neural Networks and Dynamic Role Sorting for Argument Extraction in Documents

2023 · Applied Sciences

The existing methods for document-level event extraction mainly face two challenges. The first challenge is effectively capturing event information that spans across sentences. The second challenge is using predefined orders to extract event arguments while …

A Trustworthy and Consistent Blockchain Oracle Scheme for Industrial Internet of Things

2023 · arXiv (Cornell University)

Blockchain provides decentralization and trustlessness features for the Industrial Internet of Things (IIoT), which expands the application scenarios of IIoT. To address the problem that the blockchain cannot actively obtain off-chain data, the blockchain oracle …

How to Evaluate the Generalization of Detection? A Benchmark for Comprehensive Open-Vocabulary Detection

2024 · Proceedings of the AAAI Conference on Artificial Intelligence

Object detection (OD) in computer vision has made significant progress in recent years, transitioning from closed-set labels to open-vocabulary detection (OVD) based on large-scale vision-language pre-training (VLP). However, current evaluation methods and datasets are limited …

Trajectory Optimization for 6G-UAV Based on Deep Reinforcement Learning

2024 · IEEE Transactions on Vehicular Technology

With more and more distributed deployment of Internet of Things (IoTs) in 5/6G networks, the unmanned aerial vehicles (UAVs) have attracted much interest for mobile edge computing service outside the coverage of terrestrial cellular systems. …

Auditable Data Sharing Model for Multi-Domain Privacy Information Retrieval

2024

In recent years, heightened concerns regarding personal privacy and trade secrets underscore the need to safeguard retrieved statements in data interactions, often containing easily compromised sensitive information. While Privacy Information Retrieval (PIR) techniques aim to …

The Adressa dataset for news recommendation

2017 · Proceedings of the International Conference on Web Intelligence

Datasets for recommender systems are few and often inadequate for the contextualized nature of news recommendation. News recommender systems are both time- and location-dependent, make use of implicit signals, and often include both collaborative and …

Pre-train, Prompt, and Recommendation: A Comprehensive Survey of Language Modeling Paradigm Adaptations in Recommender Systems

2023 · Transactions of the Association for Computational Linguistics

Abstract The emergence of Pre-trained Language Models (PLMs) has achieved tremendous success in the field of Natural Language Processing (NLP) by learning universal representations on large corpora in a self-supervised manner. The pre-trained models and …