OTRO combines replicated square-root ORAM instances, epoch rotation with dummy padding, and KV-cache-aware chunking to make tokenizer lookups oblivious with at most 4.5% TTFT overhead and under 0.5 GB extra memory in TDX + H100 setups.
Time will tell: Timing side channels via output token count in large language models
3 Pith papers cite this work. Polarity classification is still indexing.
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No existing AI security framework covers a majority of the 193 identified multi-agent system threats in any category, with OWASP Agentic Security Initiative achieving the highest overall coverage at 65.3%.
Develops a taxonomy of security interaction levels in AI/cloud infrastructure and demonstrates practical attacks exploiting isolation assumptions.
citing papers explorer
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Security Considerations for Multi-agent Systems
No existing AI security framework covers a majority of the 193 identified multi-agent system threats in any category, with OWASP Agentic Security Initiative achieving the highest overall coverage at 65.3%.