Socially Responsible Machine Learning: Security, Robustness, and Beyond

Socially Responsible Machine Learning: Security, Robustness, and Beyond

USC Information Sciences Institute via YouTube Direct link

Qualitative Results

10 of 19

10 of 19

Qualitative Results

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Classroom Contents

Socially Responsible Machine Learning: Security, Robustness, and Beyond

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  1. 1 Introduction
  2. 2 Current Machine Learning Systems
  3. 3 Social Problems
  4. 4 Robustness and Shifting
  5. 5 Retraining
  6. 6 Purification
  7. 7 Blur
  8. 8 Edge
  9. 9 Diffusion Model
  10. 10 Qualitative Results
  11. 11 Robustness Improvement
  12. 12 Privacy
  13. 13 Copyright Issues
  14. 14 Social Impact
  15. 15 Human Health
  16. 16 Summary
  17. 17 Questions
  18. 18 Challenges
  19. 19 Conclusion

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