Bias and fairness in Evasion Attack of Image Perturbation
Document Type
Oral Presentation
Campus where you would like to present
Ellensburg
Event Website
https://digitalcommons.cwu.edu/source
Start Date
16-5-2021
End Date
22-5-2021
Keywords
Data analysis, Evasion Attack, Categorized Inputs
Abstract
Analysis of image perturbations in Evasion Attack scenario. Using data analysis techniques to find optimal parameters as categorized inputs for different groups of users in order to enhance the original Fawkes system.
Recommended Citation
Qin, SiChong, "Bias and fairness in Evasion Attack of Image Perturbation" (2021). Symposium Of University Research and Creative Expression (SOURCE). 38.
https://digitalcommons.cwu.edu/source/2021/COTS/38
Department/Program
Computer Sciences
Additional Mentoring Department
https://cwu.studentopportunitycenter.com/bias-and-fairness-in-evasion-attack-of-image-perturbation/
Bias and fairness in Evasion Attack of Image Perturbation
Ellensburg
Analysis of image perturbations in Evasion Attack scenario. Using data analysis techniques to find optimal parameters as categorized inputs for different groups of users in order to enhance the original Fawkes system.
https://digitalcommons.cwu.edu/source/2021/COTS/38
Faculty Mentor(s)
Razvan Andonie