dbjapanの皆様、 １２月１８日に下記の講演会がございます。 奮ってご参加ください。 ☆☆☆ Prof. Calton Pu 講演会のご案内 ☆☆☆ 共催 日本データベース学会 ACM SIGMOD日本支部 日時 １２月１８日（月） 午後５時半〜午後６時半 場所 東京大学生産技術研究所 E棟 会議室B(Ew-502) E棟 ５階 エレベータをあがってすぐ http://www.iis.u-tokyo.ac.jp/map/index.html Title : Denial of Information Speaker : Calton Pu Professor and John P. Imlay, Jr. Chair in Software College of Computing Georgia Institute of Technology 参加費 無料 参加ご希望の方は、 日本データベース学会のホームページにて ( http://www.dbsj.org/ ) 会員登録の後（会費無料、すでに登録されている方は結構です）、 sigmodj_lecture@tkl.iis.u-tokyo.ac.jpに 添付の参加申込書をお送り下さい。 皆様のご参加をお待ちしております。 日本データベース学会 副会長・企画委員長 （ACM SIGMOD日本支部 支部長） 北川博之 担当委員 中野 美由紀 連絡(問合せ)先 日本データベース学会、ACM SIGMOD 日本支部 sigmodj_lecture@tkl.iis.u-tokyo.ac.jp http://www.dbsj.org/ ----------------------------------------------------------------- To: sigmodj_lecture@tkl.iis.u-tokyo.ac.jp 日本データベース学会・ACM SIGMOD日本支部共催 講演会 参加申し込み １２月１８日（月）の講演会に参加 ・名前 ・ご所属 ------------------------------------------------------------------ Title : Denial of Information Speaker : Calton Pu Professor and John P. Imlay, Jr. Chair in Software College of Computing Georgia Institute of Technology ABSTRACT Denial of Information (DOI) was introduced as an information analog of Denial of Service attacks. A DOI attack consists of the injection of noise or misleading information to make it more difficult, expensive, or time-consuming to find the real answer in a large and evolving data set. Well known problems that are examples of DOI include: email spam, web spam, and blog spam. We will discuss the technical challenges in DOI defense, focusing on the adversarial learning problem, where the defense (e.g., a statistical learning filter such as Na・e Bayesian or Support Vector Machine) must take input from the adversary (the spammer). There is no known general solution to the adversarial learning problem and we discuss the limitations of retraining techniques that can only alleviate the problem. At the same time, we show that (contrary to expectations) it is possible to defend statistical filters for email spam against camouflage attacks, ]where legitimate tokens are mixed into spam messages. We will also discuss other areas susceptible to DOI and some of the progress made in these other areas. -------------------------- Biography of Calton Pu Calton Pu was born in Taiwan and grew up in Brazil. He received his PhD from University of Washington in 1986 and served on the faculty of Columbia University and Oregon Graduate Institute. Currently, he is holding the position of Professor and John P. Imlay, Jr. Chair in Software at the College of Computing, Georgia Institute of Technology. He is currently working on three areas. First, he is using automated code generation techniques to automate and ensure the correct deployment of large scale N-tier applications in the Elba project. Second, he is investigating software and statistical techniques to defend against Denial of Information attacks in areas such as email and web spam. Third, he is working on the application of specialization and other techniques to ensure the reliability, trust, and security of system and application software. He has been the principal investigator of the Infosphere, Synthetix, and Immunix projects, with technical contributions such as Epsilon Serializability, Reflective Transaction Framework, and Continual Queries over the Internet. His collaborations include applications of these techniques in scientific research on macromolecular structure data, weather data, and environmental data, as well as in industrial settings. He has published more than 50 journal papers and book chapters, 150 conference and refereed workshop papers, and served on more than 100 program committees, including the co-PC chairs of SRDS'95, ICDE・9, COOPIS・2, SRDS・3, and co-general chair of ICDE'97, CIKM'01, ICDE・6. ----------------------------------------------------------------------- 中野 美由紀 東京大学 生産技術研究所 喜連川研究室 Miyuki NAKANO Institute of Industrial Science, Univ. of Tokyo miyuki@tkl.iis.u-tokyo.ac.jp