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“管院講壇”系列學(xué)術(shù)講座第76期

講座主題：

An Explainable Multi-Modal Hierarchical Attention Model for Developing Phishing Threat Intelligence

活動(dòng)安排

時(shí) 間：2021.12.22. 18:30

線上會(huì)議：騰訊會(huì)議ID：176 546 184

主 講 人：柴一棟 合肥工業(yè)大學(xué)管理學(xué)院 研究員

主 持 人：張明月　副教授

講座摘要

Phishing website attack, as one of the most persistent forms of cyber threats, evolves and remains a major cyber threat. Previous deep representation-based methods fail to analyze two important modalities of website content: textual information and visual design. Moreover, the interpretability of these deep learning based methods is limited. As such, we propose a multi-modal hierarchical attention model (MMHAM) which jointly learns the deep fraud cues from the three major modalities of website content for phishing website detection. Specifically, MMHAM features an innovative shared dictionary learning approach for aligning representations from different modalities in the attention mechanism. In our evaluation experiments, the proposed MMHAM provided a hierarchical interpretability system from which we could develop phishing threat intelligence to inform phishing websites detection at different levels.

嘉賓介紹

柴一棟 研究員

合肥工業(yè)大學(xué)管理學(xué)院

合肥工業(yè)大學(xué)黃山青年學(xué)者，研究員，博士生導(dǎo)師。博士畢業(yè)于清華大學(xué)經(jīng)管學(xué)院管理科學(xué)與工程系，研究領(lǐng)域包括機(jī)器學(xué)習(xí)、大數(shù)據(jù)管理與技術(shù)、商務(wù)智能、網(wǎng)絡(luò)空間管理、智慧醫(yī)療等。主持國(guó)家自然科學(xué)青年基金、校內(nèi)青年學(xué)者支持培育基金等三項(xiàng)。以第一作者或通訊作者發(fā)表研究成果于

承辦單位

信息管理與決策科學(xué)系

人工智能數(shù)據(jù)工程中心

人工智能與數(shù)據(jù)科學(xué)應(yīng)用實(shí)驗(yàn)室

科研與師資發(fā)展辦公室