World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
81
Citations
36003
World Ranking
479
National Ranking
218

Research.com Recognitions

  • 2018 - Fellow, National Academy of Inventors

Overview

Jessica Fridrich is affiliated with Binghamton University in the United States. Their research primarily focuses on areas within computer science, with a strong emphasis on digital media forensic detection and advanced steganography and watermarking techniques.

The scientist has contributed to the field of computer science through numerous publications, particularly in the subfields of computer vision and pattern recognition, information systems, computer networks and communications, hardware and architecture, and signal processing. The main topics covered in their work include:

  • Digital Media Forensic Detection
  • Advanced Steganography and Watermarking Techniques
  • Chaos-based Image/Signal Encryption
  • Generative Adversarial Networks and Image Synthesis
  • Digital and Cyber Forensics
  • Opportunistic and Delay-Tolerant Networks
  • Parallel Computing and Optimization Techniques

Jessica Fridrich's frequent collaborators include Eli Dworetzky, Edgar Kaziakhmedov, Yassine Yousfi, Mauro Barni, and Patrizio Campisi. These recurring co-authorships indicate ongoing partnerships within the steganography and digital forensics communities.

They have published extensively in venues such as Electronic Imaging, which features seven of their contributions, followed by IEEE Transactions on Information Forensics and Security and IEEE Signal Processing Magazine, each with two publications. Other venues include arXiv (Cornell University) and IEEE Transactions on Circuits and Systems for Video Technology.

Some recent publications authored or co-authored by Jessica Fridrich include:

  • Image Steganography With Symmetric Embedding Using Gaussian Markov Random Field Model, 2020, IEEE Transactions on Circuits and Systems for Video Technology
  • An Intriguing Struggle of CNNs in JPEG Steganalysis and the OneHot Solution, 2020, IEEE Signal Processing Letters
  • Natural Steganography in JPEG Domain With a Linear Development Pipeline, 2020, IEEE Transactions on Information Forensics and Security
  • Information Forensics and Security: A quarter-century-long journey, 2023, IEEE Signal Processing Magazine
  • Synchronizing Embedding Changes in Side-Informed Steganography, 2020, Electronic Imaging

Jessica Fridrich was awarded the title of Fellow by the National Academy of Inventors in 2018, reflecting recognition within the research community.

Best Publications

  • Rich Models for Steganalysis of Digital Images

    J. Fridrich;J. Kodovsky

  • Digital camera identification from sensor pattern noise

    J. Lukas;J. Fridrich;M. Goljan

  • Detecting LSB steganography in color, and gray-scale images

    J. Fridrich;M. Goljan;Rui Du

  • Detection of Copy-Move Forgery in Digital Images

    Jessica Fridrich

  • Universal distortion function for steganography in an arbitrary domain

    Vojtech Holub;Jessica J. Fridrich;Tomás Denemark

  • Feature-Based steganalysis for JPEG images and its implications for future design of steganographic schemes

    Jessica Fridrich

  • Determining Image Origin and Integrity Using Sensor Noise

    M. Chen;J. Fridrich;M. Goljan;J. Lukas

  • Designing steganographic distortion using directional filters

    Vojtech Holub;Jessica Fridrich

  • Steganalysis of JPEG images: Breaking the F5 algorithm

    Jessica Fridrich;Miroslav Goljan;Dorin Hogea

  • Steganography in Digital Media: Principles, Algorithms, and Applications

    Jessica Fridrich

  • Lossless data embedding--new paradigm in digital watermarking

    Jessica Fridrich;Miroslav Goljan;Rui Du

  • Reliable detection of LSB steganography in color and grayscale images

    Jessica Fridrich;Miroslav Goljan;Rui Du

  • Deep Residual Network for Steganalysis of Digital Images

    Mehdi Boroumand;Mo Chen;Jessica Fridrich

  • Practical steganalysis of digital images: state of the art

    Jessica J. Fridrich;Miroslav Goljan

  • Merging Markov and DCT Features for Multi-Class JPEG Steganalysis

    Tomas Pevny;Jessica Fridrich

  • Statistically undetectable jpeg steganography: dead ends challenges, and opportunities

    Jessica Fridrich;Tomáš Pevný;Jan Kodovský

  • Robust hash functions for digital watermarking

    J. Fridrich;M. Goljan

  • Lossless data embedding for all image formats

    Jessica J. Fridrich;Miroslav Goljan;Rui Du

  • Steganalysis of LSB encoding in color images

    J. Fridrich;M. Long

  • Low-Complexity Features for JPEG Steganalysis Using Undecimated DCT

    Vojtech Holub;Jessica Fridrich

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