C3Subtitles: Speaker: Aylin Caliskan

Aylin Caliskan

Aylin Caliskan is a Postdoctoral Research Associate and a CITP Fellow at Princeton University. Her work on the two main realms, security and privacy, involves the use of machine learning and natural language processing. She currently works on big-data-driven discrimination and inference through machine learning. She also has ongoing research on privacy preserving information disclosure and contextual integrity.

Infos

Event(s):
33. Chaos Communication Congress, 32. Chaos Communication Congress, 31. Chaos Communication Congress
Language(s):
English

In her previous work, she demonstrated that de-anonymization is possible through analyzing linguistic style in a variety of textual media, including social media, cyber criminal forums, source code, and executable binaries. She is extending her work to develop countermeasures against de-anonymization. Aylin's other research interests include designing privacy enhancing tools to prevent unnecessary private information disclosure while quantifying and characterizing human privacy behavior. She holds a PhD in Computer Science from Drexel University and a Master of Science in Robotics from the University of Pennsylvania.

Statistics

English
144.0 wpm
824.6 spm
22.0% Checking done22.0%
0.0% Syncing done0.0%
0.0% Transcribing done0.0%
78.0% Nothing done yet78.0%