5 citations · 19 across the 18 of their papers we have counts for
4 papers · 1 filter
REFORM: Reputation Based Fair and Temporal Reward Framework for Crowdsourcing
Samhita Kanaparthy, Sankarshan Damle, Sujit Gujar
Crowdsourcing is an effective method to collect data by employing distributed human population. Researchers introduce appropriate reward mechanisms to incentivize agents to report…
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,…
Federated Learning Meets Fairness and Differential Privacy
Manisha Padala, Sankarshan Damle, Sujit Gujar
Deep learning's unprecedented success raises several ethical concerns ranging from biased predictions to data privacy. Researchers tackle these issues by introducing fairness metri…
FASTEN: Fair and Secure Distributed Voting Using Smart Contracts
Sankarshan Damle, Sujit Gujar, Moin Hussain Moti
Electing democratic representatives via voting has been a common mechanism since the 17th century. However, these mechanisms raise concerns about fairness, privacy, vote concealmen…