7 citations · 22 across the 6 of their papers we have counts for
7 papers
Context Lineage Assurance for Non-Human Identities in Critical Multi-Agent Systems
Sumana Malkapuram, Sameera Gangavarapu, Kailashnath Reddy Kavalakuntla +1
The proliferation of autonomous software agents necessitates rigorous frameworks for establishing secure and verifiable agent-to-agent (A2A) interactions, particularly when such ag…
AILuminate: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons
Shaona Ghosh, Heather Frase, Adina Williams +99
The rapid advancement and deployment of AI systems have created an urgent need for standard safety-evaluation frameworks. This paper introduces AILuminate v1.0, the first comprehen…
IMAS: A Comprehensive Agentic Approach to Rural Healthcare Delivery
Agasthya Gangavarapu, Ananya Gangavarapu
Since the onset of COVID-19, rural communities worldwide have faced significant challenges in accessing healthcare due to the migration of experienced medical professionals to urba…
Enhancing Guardrails for Safe and Secure Healthcare AI
Ananya Gangavarapu
Generative AI holds immense promise in addressing global healthcare access challenges, with numerous innovative applications now ready for use across various healthcare domains. Ho…
Introducing v0.5 of the AI Safety Benchmark from MLCommons
Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed +97
This paper introduces v0.5 of the AI Safety Benchmark, which has been created by the MLCommons AI Safety Working Group. The AI Safety Benchmark has been designed to assess the safe…
COVID-19 Tests Gone Rogue: Privacy, Efficacy, Mismanagement and Misunderstandings
Manuel Morales, Rachel Barbar, Darshan Gandhi +27
COVID-19 testing, the cornerstone for effective screening and identification of COVID-19 cases, remains paramount as an intervention tool to curb the spread of COVID-19 both at loc…