Yingbo Yu

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yingbo Yu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Jessica J. Fridrich
  2. Phil Sallee
  3. Chih-Jen Lin
  4. Vojtech Holub
  5. Tomás Pevný
  6. Tomáš Filler
  7. Patrick Bas
  8. Jan Kodovský
  9. Gerald Schaefer
  10. Vahid Sedighi

Papers from Yingbo Yu's perspective

Ordered by how strongly the researchers Yingbo Yu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Minimizing Additive Distortion in Steganography Using Syndrome-Trellis Codes (IEEE Transactions on Information Forensics and Security)
  2. Using High-Dimensional Image Models to Perform Highly Undetectable Steganography (Information Hiding)
  3. Model-Based Steganography (International Workshop on Digital Watermarking)
  4. Ensemble Classifiers for Steganalysis of Digital Media (IEEE Transactions on Information Forensics and Security)
  5. LIBSVM: A library for support vector machines
  6. "Break Our Steganographic System": The Ins and Outs of Organizing BOSS (Information Hiding)
  7. Rich Models for Steganalysis of Digital Images (IEEE Transactions on Information Forensics and Security)
  8. Digital image steganography using universal distortion (Information Hiding and Multimedia Security Workshop)
  9. Content-Adaptive Steganography by Minimizing Statistical Detectability (IEEE Transactions on Information Forensics and Security)
  10. Structural Design of Convolutional Neural Networks for Steganalysis (IEEE Signal Processing Letters)

Their papers