Second generation benchmarking and application oriented ... - CVML

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1. Benchmarking state-of-art

• Robustness cannot be based on secrecy of the algorithms

(Kerchoff’s principle)

WM embedder

Robustness=f(secrecy)

• Necessity of theoretical and practical proofs

WM embedder

Test Tool

• The development of efficient tools for testing WM schemes

is as important as the development of the WM algorithms

themselves.

Computer Vision Group

University of Geneva

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Outline 1. Benchmarking state-of-art 2. New attacks 3. New quality metrics 4. Checkmark: Application oriented evaluation 5. Conclusions Computer Vision Group University of Geneva

1. Benchmarking state-of-art • Robustness cannot be based on secrecy of the algorithms (Kerchoff’s principle) WM embedder Robustness=f(secrecy) • Necessity of theoretical and practical proofs WM embedder Test Tool • The development of efficient tools for testing WM schemes is as important as the development of the WM algorithms themselves. Computer Vision Group University of Geneva

Page 1: Second generation benchmarking and
Page 5 and 6: 1. Benchmarking state-of-art Classi
Page 7 and 8: 2. New attacks Estimation-based Ass
Page 9 and 10: 2. New attacks The copy attack (est
Page 11 and 12: 2. New attacks • Non-uniform line
Page 13 and 14: 3. New quality metrics Comparison
Page 15 and 16: 4. Checkmark Application oriented e
Page 17 and 18: 5. Conclusions • Current Stirmark

Second generation benchmarking and application oriented ... - CVML

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