Jessica Fridrich specializes in all aspects of information hiding in digital imagery, including watermarking for authentication and tamper detection, self-embedding, robust watermarking, steganography and steganalysis, forensic analysis of digital images (detection of forgeries), advanced image processing and encryption techniques. Her earlier research interests were in chaotic nonlinear dynamical systems and dynamical systems modeling.
Fridrich, a professor of electrical and computer engineering who holds five U.S. patents, is the author of Steganography in Digital Media: Principles, Algorithms, and Applications and co-author of Digital Watermarking and Steganography. Her research has received federal funding through the National Science Foundation and the Air Force Office of Scientific Research. She also has collaborated with private companies such as Kodak and Ford.
Fridrich earned a PhD in systems science from Binghamton University. She received the Chancellor's Outstanding Inventor Award in 2002 and the Chancellor’s Award for Excellence in Scholarship and Creative Activities in 2007. In 2010, Fridrich was honored with the IEEE Signal Processing Society Best Paper Award for her team’s pioneering work on identification of digital cameras using sensor noise.
- Using Pattern Noise of Imaging Sensors for Imaging Hardware Identification (RB-218)
- Using Pattern Noise of Imaging Sensors for revealing digital forgeries (RB-222)
Podcast: Child pornographers meet their match