9 citations · 25 across the 9 of their papers we have counts for
3 papers · 1 filter
Questioning the assumptions behind fairness solutions
Rebekah Overdorf, Bogdan Kulynych, Ero Balsa +2
In addition to their benefits, optimization systems can have negative economic, moral, social, and political effects on populations as well as their environments. Frameworks like f…
Evading classifiers in discrete domains with provable optimality guarantees
Bogdan Kulynych, Jamie Hayes, Nikita Samarin +1
Machine-learning models for security-critical applications such as bot, malware, or spam detection, operate in constrained discrete domains. These applications would benefit from h…
POTs: Protective Optimization Technologies
Bogdan Kulynych, Rebekah Overdorf, Carmela Troncoso +1
Algorithmic fairness aims to address the economic, moral, social, and political impact that digital systems have on populations through solutions that can be applied by service pro…