Zaproszenie na seminarium naukowe IDEAS NCBR z zakresu cyberbezpieczeństwa z udziałem prof. Dongwona Lee (Penn State, USA), które odbędzie się we wtorek 8-ego listopada w Warszawie.
IDEAS NCBR zaprasza na seminarium naukowe poświęcone cyberbezpieczeństwu z udziałem prof. Dongwona Lee z Pennsylvania State University (https://scholar.google.pl/citations?hl=pl&user=MzL-WnEAAAAJ) w USA.
W trakcie seminarium odbędzie się panel ekspercki, który zainicjuje wykład prof. Lee pt. „Generative Language Model, Deepfake, and Fake News 2.0: Scenarios and Implications”. Szczegółowy opis tematu, abstrakt, informacje o dedykowanej grupie odbiorców oraz biogram prelegenta (w języku angielskim) znajdują się poniżej.
Seminarium odbędzie się 8 listopada br. (wtorek) o godz. 14:00 w sali konferencyjnej na 1 p. w budynku UNITRA S.A. przy ul. Nowogrodzkiej 50 (dawny Bank Rolny) w Warszawie. Zgłoszenia udziału będą przyjmowane za pośrednictwem poczty elektronicznej do dnia 6 listopada br. na adres: marta.krzyzycka@ideas-ncbr.pl.
The recent explosive advancements in both generative language models in NLP and deepfake-enabling methods in Computer Vision have greatly helped trigger a new surge in AI research and introduced a myriad of novel AI applications. However, at the same time, these new AI technologies can be used by adversaries for malicious usages, opening a window of opportunity for fake news creators and state-sponsored hackers. In this talk, I will present three plausible scenarios where adversaries could exploit these cutting-edge AI techniques to their advantage, producing more sophisticated fake news by synthesizing realistic artifacts or evading detection of fake news from state-of-the-art detectors. I will conclude the talk by discussing the important implications of the new type of fake news (i.e., Fake News 2.0) and some future research directions.
Title: Generative Language Model, Deepfake, and Fake News 2.0: Scenarios and Implications
Talk Abstract: The recent explosive advancements in both generative language models in NLP and deepfake-enabling methods in Computer Vision have greatly helped trigger a new surge in AI research and introduced a myriad of novel AI applications. However, at the same time, these new AI technologies can be used by adversaries for malicious usages, opening a window of opportunity for fake news creators and state-sponsored hackers. In this talk, I will present three plausible scenarios where adversaries could exploit these cutting-edge AI techniques to their advantage, producing more sophisticated fake news by synthesizing realistic artifacts or evading detection of fake news from state-of-the-art detectors. I will conclude the talk by discussing the important implications of the new type of fake news (i.e., Fake News 2.0) and some future research directions.
Talk Audience: This talk is geared for both undergraduate and graduate students in Computer Science or related fields. Contents are mostly high-level with a few slides on more research-oriented in-depth results.
Bio of Speaker: Dongwon Lee is a full professor and director of Ph.D. program in the information school (IST) at Penn State University, USA. He is also an ACM Distinguished Scientist (2019) and Fulbright Cyber Security Scholar (2022). Before starting at Penn State, he worked at AT&T Bell Labs, NJ, and obtained his Ph.D. in Computer Science from UCLA. From 2015 to 2017, he has also served as a Program Director at National Science Foundation (NSF), co-managing cybersecurity research and education programs and contributing to the development of national research priorities. In general, he researches on the problems in the intersection of data science, machine learning, and cybersecurity. Since 2017 he has led the NSF-sponsored SysFake project at Penn State, investigating computational and socio-technical solutions to better combat fake news. More details of his research can be found at: http://pike.psu.edu/. During the academic year of 2022-2023, he is visiting University of Cambridge, UK as a Fulbright scholar and a fellow in Churchill college.
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IDEAS NCBR Sp. z o.o.
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Projekt: maskva.pl. Kodowanie: Mati Projektuje
