InForSec学术讲座
演讲人：张阳 德国信息技术安全、隐私及责任中心（CISPA），博士
时间：2018年12月19日 10:00-11:30
地点：清华大学FIT楼3-225
演讲主题： Privacy in the Modern Era: The Cases of Online Social Network and Machine Learning Model
现代隐私权：社交网络与机器学习模式的案例
内容摘要：信息和通讯技术的进步产生了大量的可用数据。这些数据作为下一代工业发展的原料的同时，也引入了严重的隐私问题。在本次演讲中，将介绍我们在社交网络数据和机器学习模型的隐私风险评估方面的最新工作。首先，我们关注在线社交网络中流行的位置打卡（location check-in）和话题标签（hashtag）。我们的结果表明基于位置打卡数据可以有效推断用户社交关系，基于话题标签可以精确地定位用户的地理位置。然后，我们将讨论机器学习模型中训练数据的隐私风险。我们放宽攻击模型的多种假设之后，展示了攻击者可以更快更有效地针对机器学习分类器发起成员关系推断攻击。我们的结果揭示了，未来机器学习模型需要一种更通用的评估方法。本演讲的相应研究论文发表于CCS 2017、WWW 2018和NDSS 2019。
The advancement of information and communication technologies has resulted in a deluge of data being available. While serving as the fuel for the next-generation industrial development, the large-scale data also raises severe privacy concerns. In this talk, I will cover our recent work on assessing privacy risks stemming from social network data and machine learning models. First, I will focus on the phenomenal location check-ins and hashtags shared in online social networks. We show that location check-ins can be used as an effective attack vector to infer users’ social relations. Moreover, I’ll demonstrate how hashtags can be exploited to effectively pinpoint a user’s fine-grained locations. Second, I will discuss the risks of training data privacy in machine learning models. We relax various assumptions of the adversary model and show that membership inference attacks against machine learning classifiers can be performed in a much cheaper and effective way. Our results further shed light on the necessity of a general evaluation methodology for machine learning models in the future. The corresponding research papers of this talk are published at CCS 2017, WWW 2018, and NDSS 2019.
演讲人简介：
张阳目前是德国萨尔布吕肯CISPA亥姆霍兹信息安全中心Michael Backes教授的一名博士后研究员。从2019年1月起，他将成为CISPA的独立研究组组长。他的研究主要集中在现代社会的隐私问题。主题包括机器学习隐私、生物医药隐私、社交网络隐私和位置隐私。此外，他还从事城市计算、社交媒体分析和数据挖掘方面的研究。张阳在2016年11月获得卢森堡大学博士学位。在此之前，他获得了中国山东大学的学士学位（2009年）和硕士学位（2012年）。
Yang Zhang (https://yangzhangalmo.github.io/) is currently a postdoc working in the group of professor Michael Backes at CISPA Helmholtz Center for Information Security, Saarbruecken, Germany. From January 2019, he will be an independent research group leader at CISPA. His research mainly concentrates on privacy in modern society. Topics include machine learning privacy, biomedical privacy, social network privacy, and location privacy. Besides, he also works on urban informatics/computing, social media analysis, and data mining. Yang obtained his Ph.D. degree from University of Luxembourg on 2016.11. Prior to that, he obtained his bachelor (2009) and master (2012) degrees from Shandong University, China.
