Tight query bounds for sparse-secret attacks
Reduce the gap between the theoretical reaction-query bound and the experimental average achieved by the sparse-secret CKKS attack.
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We highlight four directions for future work: (i) Detection Models: Formalizing detector models to determine which aggregate heuristics (e.g., query volume, rejection rates) provably prevent key recovery; (ii) Closing Theoretical Gaps: Reducing the minimal query gap between our theoretical bound and the experimental average for sparse secrets (close to the $\approx 1.05$ gap in uniform ternary); (iii) Scheme Generality: Investigating whether similar reaction attacks threaten other widely deployed RLWE schemes, such as BGV and BFV; and (iv) Safe Validation: Designing output-validation mechanisms that support legitimate retries without leaking externally exploitable accept/reject bits.