안녕하세요.
정보보호대학원에서는 뉴욕대학교의 Rachel Greenstadt 교수님을 모시고 세미나를 개최하고자 하오니 많은 참석 부탁드립니다.
o 일 시: 25. 02. 04(화) 17:00~
o 장 소: 오프라인 (N1동 201호)
o 강 사: Prof. Rachel Greenstadt(New York University)
※ 세미나 시작 5분 전에 준비하여 주세요.
ㅡㅡㅡ
♣ Title
Manipulation of Online Discourse: Anonymity, Authorship verification, and Conspiracy Theory Monetization
♣ Abstract
Social media has become an important method for information sharing, but it has also created opportunities for bad actors to easily spread disinformation and manipulate public opinion. This talk will discuss my work measuring the value of anonymous online contributions, improving authorship verification algorithms and using them to measure abuse in online communities, understanding how coordinated harassment is sustained, and understanding how conspiracy theories are monetized via ads on YouTube. This work is interdisciplinary (blending qualitative methods, guided measurement, machine learning), but grounded in the adversarial perspective of cybersecurity. We find that Tor users editing Wikipedia produce comparable quality to other inexperienced users, authorship verification can help us understand disinformation campaigns like during the 2016 presidential election and the GameStop short squeeze, internet service providers can unwittingly worsen harassment campaigns by passing along PII to harassers, and that, in comparison with mainstream content, conspiracy videos had similar levels of ads from well-known brands, but an almost eleven times higher prevalence of likely predatory or deceptive ads.
♣ Bio
Dr. Rachel Greenstadt is a Professor of Computer Science at New York University where she researches computer security and privacy. She founded the Privacy, Security, and Automation Laboratory at Drexel University in 2008 and brought it to NYU in 2019. She leads a research team of PhD students and undergraduates with interests and expertise in information extraction, machine learning, human-centered computing, privacy, trust, and security. Dr. Greenstadt’s scholarship has been recognized by the privacy research community. She is an alum of the DARPA Computer Science Study Group and a recipient of the NSF CAREER Award. Her work has received the PET Award for Outstanding Research in Privacy Enhancing Technologies, the USENIX Distinguished Paper Award, the CSCW Best Paper Award, and the Andreas Pfitzmann Best Student Paper Award. She served as co-editor-in-chief of the journal Proceedings on Privacy Enhancing Technologies (PoPETs) for the 2017 and 2018 volumes and was the co-program-chair of the 2021 USENIX Security Symposium. She is a member of the CRA Computing Community Consortium Council. Her research has been featured in the New York Times, the New Republic, Der Spiegel, and other local and international media outlets.
- 줌링크 : https://kaist.zoom.us/j/82410402874?pwd=FFWMgkOVJPMBTLEhuLXcfVb8d20Up5.1
