2 citations · 3 across the 11 of their papers we have counts for
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GF-Score: Certified Class-Conditional Robustness Evaluation with Fairness Guarantees
Arya Shah, Kaveri Visavadiya, Manisha Padala
Adversarial robustness is essential for deploying neural networks in safety-critical applications, yet standard evaluation methods either require expensive adversarial attacks or r…
Tab-Shapley: Identifying Top-k Tabular Data Quality Insights
Manisha Padala, Lokesh Nagalapatti, Atharv Tyagi +2
We present an unsupervised method for aggregating anomalies in tabular datasets by identifying the top-k tabular data quality insights. Each insight consists of a set of anomalous…
F3: Fair and Federated Face Attribute Classification with Heterogeneous Data
Samhita Kanaparthy, Manisha Padala, Sankarshan Damle +2
Fairness across different demographic groups is an essential criterion for face-related tasks, Face Attribute Classification (FAC) being a prominent example. Apart from this trend,…