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Holistic Approach to Measure Sample-level Adversarial Vulnerability and
  its Utility in Building Trustworthy Systems

Holistic Approach to Measure Sample-level Adversarial Vulnerability and its Utility in Building Trustworthy Systems

5 May 2022
Gaurav Kumar Nayak
Ruchit Rawal
Rohit Lal
Himanshu Patil
Anirban Chakraborty
    AAML
ArXivPDFHTML

Papers citing "Holistic Approach to Measure Sample-level Adversarial Vulnerability and its Utility in Building Trustworthy Systems"

2 / 2 papers shown
Title
UnbiasedNets: A Dataset Diversification Framework for Robustness Bias
  Alleviation in Neural Networks
UnbiasedNets: A Dataset Diversification Framework for Robustness Bias Alleviation in Neural Networks
Mahum Naseer
B. Prabakaran
Osman Hasan
Muhammad Shafique
8
7
0
24 Feb 2023
Measuring Equality in Machine Learning Security Defenses: A Case Study
  in Speech Recognition
Measuring Equality in Machine Learning Security Defenses: A Case Study in Speech Recognition
Luke E. Richards
Edward Raff
Cynthia Matuszek
AAML
11
2
0
17 Feb 2023
1