Face Anti-Spoofing With Deep Neural Network Distillation

You are here

Top Reasons to Join SPS Today!

1. IEEE Signal Processing Magazine
2. Signal Processing Digital Library*
3. Inside Signal Processing Newsletter
4. SPS Resource Center
5. Career advancement & recognition
6. Discounts on conferences and publications
7. Professional networking
8. Communities for students, young professionals, and women
9. Volunteer opportunities
10. Coming soon! PDH/CEU credits
Click here to learn more.

Face Anti-Spoofing With Deep Neural Network Distillation

By: 
Haoliang Li; Shiqi Wang; Peisong He; Anderson Rocha

One challenging aspect in face anti-spoofing (or presentation attack detection, PAD) refers to the difficulty of collecting enough and representative attack samples for an application-specific environment. In view of this, we tackle the problem of training a robust PAD model with limited data in an application-specific domain. We propose to leverage data from a richer and related domain to learn meaningful features through the concept of neural network distilling. We first train a deep neural network based on reasonably sufficient labeled data in an attempt to “teach” a neural network for the application-specific domain for which training samples are scarce. Subsequently, we form training sample pairs from both domains and formulate a novel optimization function by considering the cross-entropy loss, as well as maximum mean discrepancy of features and paired sample similarity embedding for network distillation. Thus, we expect to capture spoofing-specific information and train a discriminative deep neural network on the application-specific domain. Extensive experiments validate the effectiveness of the proposed scheme in face anti-spoofing setups. 

SPS on Twitter

  • DEADLINE EXTENDED: The 7th Annual IEEE World Forum on Internet of Things is now accepting papers across a range of… https://t.co/7jit7eNFqH
  • ONE WEEK OUT: The Brain Space Initiative Talk Series continues on Friday, 29 January when Juan (Helen) Zhou present… https://t.co/AUZgTUUG81
  • DEADLINE EXTENDED: There's still time to submit your proposal to host the 2023 IEEE International Symposium on Biom… https://t.co/IyGtA3abJj
  • The 35th Picture Coding Symposium is heading to Bristol, UK and is now accepting papers for their June event! Head… https://t.co/sn8KNrKrBA
  • Deadline to submit to has been extended to 25 January! https://t.co/INpP2KrzoH

SPS Videos


Signal Processing in Home Assistants

 


Multimedia Forensics


Careers in Signal Processing             

 


Under the Radar