Multi-tenant tools commonly accept a tenant identifier and validate it against the caller's entitlement. For a large language model (LLM) agent, that pattern delegates resource selection to a process whose context may contain attacker controlled instructions. We formalize this stochastic deputy problem and present a st...
Mirza Samad Ahmed Baig, Syeda Anshrah Gillani, Asher Ali et al.· 0 citations
Randomized benchmarking can hide classical temporal correlations because its Clifford-twirled response is even in the noise phase. For a stationary symmetric telegraph fluctuator, we show that continuous evolution and independent stationary resets at slot boundaries yield identical mean responses for arbitrary fixed id...
Mirza Samad Ahmed Baig, Syeda Anshrah Gillani, Abdul Akbar Khan et al.· 0 citations
A prespecified randomized algorithm audit of what causally moves large language model (LLM) assistants' recommendations, finding that gender and ethnicity were signaled through names following correspondence-audit methodology.
Syeda Anshrah Gillani, Mirza Samad Ahmed Baig· 0 citations
A quantum-attribution audit is introduced that quantifies how much of any gain is genuinely attributable to the quantum component of quantum models, and attributes this to classical preprocessing and regularisation rather than quantum effects.
Syeda Anshrah Gillani, Mirza Samad Ahmed Baig, Shahid Munir Shah et al.· 1 citation
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