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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
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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
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
Luke E. Richards
Edward Raff
Cynthia Matuszek
AAML
11
2
0
17 Feb 2023
1