大咖云集！ IEEE x ATEC科技思享会邀您畅谈网络欺诈的风险与对抗
仲夏至此始，未来皆可期。第一期IEEE x ATEC科技思享会将于2022年6月21日与2022年6月22日在线举办。网友可在“IEEE电气电子工程师”、“雷峰网”、“AI科技评论”的微信视频号以及“ATEC科技社区”的B站号预约观看。
IEEE x ATEC Scitech Webinar will be held online on June21-22,2022. The Webinar will be broadcast live by several Wechat platforms, join us on“IEEE电子电气工程师”,“雷峰网”,“AI科技评论”,or Bilibili platform “ATEC 科技社区” etc.
IEEE x ATEC科技思享会是由专业技术学会IEEE与前沿科技探索社区ATEC联合主办的技术沙龙。邀请行业专家学者分享前沿探索和技术实践，助力数字化发展。
IEEE x ATEC Scitech Webinar is a technology salon jointly sponsored by IEEE,a professional technology institute,and ATEC, a community for advanced technology exploration. Industry experts and scholars are invited to share cutting-edge exploration and technical practices to positively contribute to enhancing life and augmenting human experiences.
在数字化进程中，随着网络化、智能化服务的不断深入，伴随服务衍生出的各类风险不容忽视。本期分享会的主题是《网络欺诈的风险与对抗》。五位嘉宾将从不同的技术领域和观察视角，围绕网络欺诈场景下的风险及对抗技术展开分享。
In the process of digitalization, with the deepening of network and intelligent services,various risks derived from services, which cannot be ignored. The topic is the Risksand Counter measures of network fraud. Learn from,engage with,and discuss important topics with five experts from different technical fields and observation perspectives.
出品人&演讲嘉宾 | 沈 超
Creator&Guest | Chao Shen
沈超教授是国家优秀青年科学基金获得者，主要从事数据驱动的网络空间安全、人工智能安全、信息物理融合系统综合安全的研究工作。近年来主持国家自然科学基金、重点研发计划课题等部委与企业项目30余项。研究成果发表论文70余篇；获教育部自然科学二等奖1项，7次国内外学术会议最佳/优秀论文的奖励；主持和参与研制了多个重要系统并应用于国家大型企事业单位。
《网络欺诈风险识别与防御的全局视角》
《Global perspective of network fraud risk identification and defense》
分享时间：2022.6.21 20:05-20:35
Time:20:05-20:35,June 21,2022
在互联网和金融场景之下，人工智能技术面临着巨大的安全威胁和挑战。本次分享将分别从模型训练阶段、推断阶段、部署阶段、应用阶段，来分析AI模型遇到的安全风险。沈超老师认为应该形成全链路的AI安全风险识别与防御手段，并提出未来的研究趋势——将数据与机理融合，形成对抗环境下网络欺诈风险识别防御的有效手段。
Under the internet and financial scenarios, artificial intelligence technology is facing huge security threats and challenges. The keynote speech will analyze the security risks encountered by AI models from the model training stage, inference stage, deployment stage and application stage. Professor Chao Shen believes that a full link AI security risk identification and means of defense should be formed, and puts forward the future research trend, which is integrating data and mechanism to form an effective means of network fraud risk identification and defense in the counter environment.
演讲嘉宾 | 王 骞
Guest | Qian Wang
王骞教授是国家海外高层次青年引进人才，JWKJW基础加强计划重点基础研究项目“技术首席专家”。2018年获国家优秀青年科学基金资助。获2018年IEEE TCSC“早期职业杰出研究奖”、2016年IEEE通信协会亚太区“杰出青年研究学者奖”。研究涉及智能系统攻防、无线系统安全、云数据安全与隐私、应用密码学等领域。主持国家基础加强计划重点基础研究项目、装备预研教育部联合基金重点项目、NSFC联合基金重点支持项目、科技创新2030“新一代人工智能”重大项目课题等。发表论文200余篇，CCF A类论文100余篇，总引用超过19000次。获8次国际会议最佳论文奖。担任IEEE TIFS、IEEE TDSC等10多个国际知名期刊编委。
《智能系统数据安全》
《Intelligent system data security》
分享时间：2022.6.21 20:35-21:05
Time:20:35-21:05,June21,2022
王骞老师将从“数据”视角出发，分析智能系统的风险及防御问题；围绕数据在训练过程、部署过程中出现的，包括后门攻击、敏感数据保护、对抗性攻击、传感欺骗、系统合法使用等问题，分享相关的研究成果和应用心得。
Professor Qian Wang will analyze the risks and defense problems of intelligent systems from the perspective of “data”. The relevant research results and application experience around the problems of data during training and deployment will be shared, including backdoor attack, sensitive data protection, adversarial attack, sensor deception, legal use of the system, etc.
演讲嘉宾 | 王亦洲
Guest | Yizhou Wang
王亦洲教授于2005年从加州大学洛杉矶分校(UCLA)获得计算机科学博士学位，同年任美国XeroxPaloAlto研究中心(XeroxPARC)研究员。2007年加入北京大学计算机科学技术系。主要研究领域为计算机视觉、统计建模与计算、医学影像分析、数字视觉艺术。主持国家自然科学基金项目、973计划项目课题等科研项目十余项，在国际重要学术期刊和学术会议发表学术论文100余篇，多篇论文获得最佳论文奖。2019年任第一届人工智能医疗器械标准化技术归口单位专家组专家、特邀战略委员会专家。
《基于对抗博弈的主动跟踪算法研究》
《Research on active tracking algorithm based on confrontation game》
分享时间：2022.6.22 20:05-20:25
Time:20:05-20:25,June22,2022
在智能系统风险防御的过程中，对抗博弈是一个重要的研究方向。在计算机视觉领域，主动跟踪也是一个比较前沿的研究课题，同时也具有非常大的挑战。比如它往往要比跟踪目标有更强的这种运动和跟踪能力。王亦洲老师将详细介绍通过心理学的认知机制和博弈论结合，提高跟踪器的跟踪水平的一系列的研究工作。
In the process of risk defense of intelligent systems, confrontation game is an important research direction. In the field of computer vision, active tracking is also a cutting-edge research topic, which also has great challenges. For example, it often has stronger motion and tracking ability than tracking the target. Professor Yizhou Wang will introduce specifically a series of research work to improve the tracking level of the tracker through the combination of psychological cognitive mechanism and game theory.
演讲嘉宾 | 张 曼
Guest | Man Zhang
张曼研究员主要研究方向为人工智能、计算机视觉、生物特征识别，主持和参与国家自然科学基金、国家重点研发计划等25项国家和省部级科研项目，在IEEE TPAMI,TIP等顶级期刊和会议上发表文章30余篇。曾获“北京市三八红旗奖章”、“北京市科技新星”、“海淀青年榜样”等荣誉称号，现任北京市青联十二届委员、IEEE WIE北京分会主席。
《AI知道你是谁—核身技术在反诈领域的研究》
《AI knows who you are-Research on core technology in the field of anti-fraud》
分享时间：2022.6.22 20:25-20:45
Time:20:25-20:45,June22,2022
在网络欺诈场景中，身份认证是重要一环。而生物识别，又是身份认证的重要手段。如何鲁棒识别多源异质的生物特征数据？如何保障泛在网络环境下生物识别系统的安全性？张曼老师提出不同的生物特征模态具有不同的特点和不同的适用场景，分享如何采用多模态融合的方式，以提升识别精度和拓展应用场景。
In the network fraud scenario, identity authentication is an important part. Also, biometrics is an important means of identity authentication. How to robustly identify multi-source heterogeneous biometric data? How to ensure the security of biometric system in ubiquitous network environment? Professor Man Zhang proposed that different biometric modes have different characteristics and different application scenarios. Then, how to adopt multi-modal fusion to improve recognition accuracy and expand application scenarios will be shared.
演讲嘉宾 | 庄福振
Guest | Fuzhen Zhuang
庄福振教授主要从事机器学习和数据挖掘的相关研究工作。相关研究成果已经在Nature Communications,PIEEE,TKDE,KDD等本领域顶级、重要国际期刊和国际会议上发表录用论文100多篇。承担/参与国家自然科学基金、科技部重点研发计划、校企合作项目20多项。2013年获得中国人工智能学会优秀博士学位论文奖，2017入选中国科学院青年创新促进会。
《NN模型在金融风控场景中的应用》
《Application of NN model in financial risk control scenarios》
分享时间：2022.6.22 20:45-21:05
Time:20:45-21:05,June22,2022
在线支付欺诈是网络欺诈的又一个重要研究命题。在实际工业场景中，AI模型在提高交易欺诈识别准确率的同时，还需要关注低用户打扰率时的召回率。庄福振老师在分享中提出通过神经层次分解机对用户事件序列进行分析、同时建模Field之间交互关系以及Fieldvalue演化的欺诈检测模型；以及通用的迁移学习可解释框架，可以把建模用户行为序列的嵌入以及多层感知机模型作为基本单元进行不同领域之间的知识迁移。相关研究成果已经在东南亚大型电商网站落地应用。
Online payment fraud is another important research topic of network fraud. In the actual industrial scenario, AI model not only improves the accuracy of transaction fraud identification, but also needs to pay attention to the recall rate when the user disturbance rate is low. Professor Fuzhen Zhuang proposes a fraud detection model that analyzes the user event sequence through the neural hierarchy decomposition machine, and models the interaction between fields and the evolution of field value at the same time. And the general interpretable framework of transfer learning, which can take the embedding of modeling user behavior sequence and the multi-layer perceptron model as the basic unit for knowledge transfer between different fields. Relevant research results have been applied to large e-commerce websites in Southeast Asia.
主持人 | 董 晶
Host | Jing Dong
董晶研究员主要从事计算机视觉、生物特征识别、多媒体内容取证与安全等AI前沿方向的技术研究，她先后以项目（课题）负责人承担4项国家自然科学基金、3项国家重点研发项目（课题）、国家重大专项子项及20余项省部级科研项目（课题）。已在国际权威期刊及学术会议上发表学术论文60余篇，已授权发明专利22项，含3项美国专利。她曾荣获2019年度中国人工智能学会杰出贡献奖、2020年度CSIG石青云女科学家奖、2021年度CSIG科技奖二等奖（排名第一）及2021年度吴文俊人工智能科学技术奖（技术进步科普类）。
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IEEE
作为全球最大的专业技术组织，IEEE在全球160多个国家和地区共有超40万名会员，其中学生会员超12万。
在电气及电子工程、计算机等其他技术领域中，IEEE出版了近三分之一的技术文献，其中包括每年出版的200本期刊和杂志，IEEE Xplore数字图书馆文献已超过500万篇。IEEE每年在全球举办超过1900个会议，会议成为了IEEE会员参与活动的重要形式，丰富和满足了会员的生活。同时，IEEE标准协会已经制定了1000多项现行工业标准，其中包括众所周知的IEEE802有线与无线的网络通信标准和IEEE1394标准，另有900多项标准正在制定过程中。
IEEE积极搭建开放共享的国际合作舞台，开展学术及科技交流活动，发展不同的科技和学术平台，希望可以充分发挥学会会员的协同效应，建立活跃的学术和技术创新生态，助力下一代专业技术人员的发展与壮大。
IEEE is the world’s largest technical professional organization dedicated to advancing technology for the benefit of humanity. IEEE is the trusted voice for engineering, computing, and technology information around the globe. IEEE has over 400,000 members in more than 160 countries, including more than 120,000 student members.
IEEE publishes nearly a third of the world’s technical literature in electrical engineering, computer science, and electronics. This includes approximately 200 transactions, journals, and magazines published annually. The IEEE Xplore Digital Library contains more than 5 million documents from IEEE and IEEE journals, transactions, magazines, letters, conference proceedings, and active IEEE standards. IEEE sponsors more than 1,900 annual conferences and events worldwide, curating cutting-edge content for all of the technical fields of interest within IEEE. IEEE is a leading developer of international standards that underpin many of today’s telecommunications, information technology, and power-generation products and services. IEEE Standards Association has an active portfolio of nearly 1,076 standards and more than 984 projects under development. This includes the prominent IEEE 802® standards for local, metropolitan, and other area networks, including Ethernet and Wireless LAN (commonly referred to as Wi-Fi®).
Over the decades that followed, the social roles of the technologies under IEEE’s aegis continued to spread across the world and reach into more and more areas of people’s lives.
ATEC
ATEC（Advanced Technology Exploration Community）前沿科技探索社区是由蚂蚁集团联合多所知名高校共同创立的技术实践发展社区。社区致力于搭建系列产研合作平台，推动创新技术的产业应用研究，支持应用型技术人才培养，传播积极奋进的程序员/工程师文化。
借助与多所知名高校专家学者的深度合作，ATEC科技社区创立并持续运营“ATEC科技精英赛”项目。与业内常规的大赛不同，ATEC科技精英赛通过紧扣社会价值的命题设计、贴近真实环境比赛环境搭建，目标考察选手及其团队成员间的综合性命题解决能力。而大赛同期录制的业内首档代码竞技真人秀《燃烧吧！天才程序员》，则将全景呈现比赛过程中青年科技选手间的竞争与合作、隐忍与反击，真实展现中国年轻一代科技从业者奋发向上的精神和动力。
除ATEC科技精英赛外，ATEC科技社区积极推动着ATEC沙龙、ATEC实训平台等多个产研合作项目，践行“助力数字化发展”、“科技服务社会”的发展理念。
ATEC (Advanced Technology Exploration Community) is a consensus-based society jointly initiated by Ant Group and a number of leading universities for promotion of technology applications and practices. This community is committed to building systematic industry-university-research cooperation platforms, underpinning the industrial application of the innovative research achievements, supporting the cultivation of application-orientated talents, and amplifying the influence of a positive programmer/engineer culture.
With the in-depth cooperation of multiple experts and scholars from a number of well-known universities, ATEC has designed and continuously operated the “ATEC Technology Elite Competition” project. Different from the regular competitions commonly seen in this area, the “ATEC Technology Elite Competition” cares much more about the contestants’ comprehensive problem-solving ability as teams and therefore designs the challenges that are closely related to social value and sets up the storyline and competition environment that reflects the reality as far as possible. Another pioneering work in consistence with the competition is a reality show named “Burn it! Genius Programmer” . It presents a panoramic view of the competition and cooperation, forbearance and counterattack among the young players during the whole process, demonstrates the enterprising spirit and persistence of China’s younger generation of technology practitioners.
In addition to the ATEC technology elite competition, the community actively launches a number of industry-research cooperation projects such as ATEC salons and ATEC training platforms, etc. acting on the purpose of facilitating digital development and carrying further the spirit of “science and technology for social good”.
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