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Home/Authors/Florian A. D. Burnat

Florian A. D. Burnat

4 indexed papers

Recent (6 mo)
4
With code
0
Influential cites
0
Benchmarked
0

Publications per year

4
26

Top categories

Crypto×4ML×4Game Theory×2Info Retrieval×1Society×1

Frequent co-authors

Brittany I. Davidson2×

Research Timeline

2026
Gaming the Metric, Not the Harm: Certifying Safety Audits against Strategic Platform Manipulation

The paper demonstrates that current safety audit metrics are susceptible to strategic platform manipulation, proposing a more robust 'semantic-envelope' metric that better certifies genuine harm reduction.

Differentially Private Auditing Under Strategic Response

This paper analyzes differential privacy auditing as a bilevel game, showing that naive audit designs fail to detect true harm when developers strategically respond, and proposes an optimal, single-level design algorithm.

Quotient Semivalues for False-Name-Resistant Data Attribution

The paper introduces the quotient semivalue mechanism to provide fair data attribution that is resistant to contributors manipulating their reported identities by splitting or duplicating data.

Auditing Privacy in Multi-Tenant RAG under Account Collusion

This paper demonstrates that standard privacy guarantees for multi-tenant RAG services fail when multiple accounts from the same tenant collude, proposing a novel audit protocol to quantify this joint leakage.

Highlighted terms show continued research focus across papers

Papers

cs.CRcs.IRcs.LGRecentMay 19, 2026

Auditing Privacy in Multi-Tenant RAG under Account Collusion

Florian A. D. Burnat

This paper demonstrates that standard privacy guarantees for multi-tenant RAG services fail when multiple accounts from the same tenant collude, proposing a novel audit protocol to quantify this joint…

View →
cs.GTcs.CRcs.LGRecentMay 8, 2026

Differentially Private Auditing Under Strategic Response

Florian A. D. Burnat

This paper analyzes differential privacy auditing as a bilevel game, showing that naive audit designs fail to detect true harm when developers strategically respond, and proposes an optimal, single-le…

View →
cs.GTcs.CRcs.LGRecentMay 8, 2026

Quotient Semivalues for False-Name-Resistant Data Attribution

Florian A. D. Burnat, Brittany I. Davidson

The paper introduces the quotient semivalue mechanism to provide fair data attribution that is resistant to contributors manipulating their reported identities by splitting or duplicating data.

View →
cs.CRcs.CYcs.LGRecentMay 7, 2026

Gaming the Metric, Not the Harm: Certifying Safety Audits against Strategic Platform Manipulation

Florian A. D. Burnat, Brittany I. Davidson

The paper demonstrates that current safety audit metrics are susceptible to strategic platform manipulation, proposing a more robust 'semantic-envelope' metric that better certifies genuine harm reduc…

View →