activity
20222026
most citedA Survey on Intersectional Fairness in Machine Learning: Notions, Mitigation, and Challenges

35 citations · 94 across the 18 of their papers we have counts for

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Showing cs.SEShow all

5 papers · 1 filter

cs.SE2026

Defeater Cards: Characterizing and Managing Safety Assurance Case Defeaters

Usman Gohar, Michael C. Hunter, Salil Purandare +3

Safety assurance cases provide structured justifications that safety-critical systems meet their safety requirements. Recently, the notion of defeaters has emerged as a rigorous me…

cs.SE2025★ 2 cited

A Family-Based Approach to Safety Cases for Controlled Airspaces in Small Uncrewed Aerial Systems

Michael C. Hunter, Usman Gohar, Myra B. Cohen +2

As small Uncrewed Aircraft Systems (sUAS) increasingly operate in the national airspace, safety concerns arise due to a corresponding rise in reported airspace violations and incid…

cs.SE2025★ 1 cited

A Taxonomy of Real-World Defeaters in Safety Assurance Cases

Usman Gohar, Michael C. Hunter, Myra B. Cohen +1

The rise of cyber-physical systems in safety-critical domains calls for robust risk-evaluation frameworks. Assurance cases, often required by regulatory bodies, are a structured ap…

cs.SE2024★ 1 cited

CoDefeater: Using LLMs To Find Defeaters in Assurance Cases

Usman Gohar, Michael C. Hunter, Robyn R. Lutz +1

Constructing assurance cases is a widely used, and sometimes required, process toward demonstrating that safety-critical systems will operate safely in their planned environment. T…

cs.SE2024★ 4 cited

Towards Engineering Fair and Equitable Software Systems for Managing Low-Altitude Airspace Authorizations

Usman Gohar, Michael C. Hunter, Agnieszka Marczak-Czajka +3

Small Unmanned Aircraft Systems (sUAS) have gained widespread adoption across a diverse range of applications. This has introduced operational complexities within shared airspaces…