Rate My Professor Jessica Fridrich

Professor Fridrich's main research specializations are steganography and steganalysis of digital images, digital multimedia forensics, signal estimation and detection, and machine learning. She has authored over 150 refereed publications with more than 16,000 citations, including the book Steganography in Digital Media: Principles, Algorithms, and Applications (Cambridge University Press, 2009). Key papers include "Rich models for steganalysis of digital images" (2012), "Digital camera identification from sensor pattern noise" (2006), and "Detection of copy-move forgery in digital images" (2003). She holds seven U.S. patents, such as secure image encryption based on chaos (2000) and reliable detection of LSB steganography (2004), all commercialized. Her sensor noise-based method for linking photos to cameras is the only one approved for court evidence after passing the Daubert Challenge. Fridrich has received the SUNY Chancellor’s Award for Excellence in Scholarship and Creative Activities (2006-2007), Chancellor’s Award for Outstanding Inventor (2002), multiple IEEE Signal Processing Society Best Paper Awards, Best Paper Awards at IH&MMSec workshops, and was elected a Fellow of the National Academy of Inventors. She co-founded and served as Associate Editor for IEEE Transactions on Information Forensics and Security.