PVAC mitigates RowHammer by incrementing counters on victim rows and resetting them on activation via a parallel counter subarray, avoiding PRAC's saturation and timing penalties while supporting higher hammering tolerance.
Probabilistic Tracker Management Policies for Low-Cost and Scalable Rowhammer Mitigation
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.CR 2years
2026 2representative citing papers
PrISM uses a Sampled History Queue to correlate row samples across windows, solving the non-selection problem in probabilistic RowHammer mitigation and cutting slowdown from 10.7% to 1.5% at threshold 250 versus prior methods.
citing papers explorer
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PVAC: A RowHammer Mitigation Architecture Exploiting Per-victim-row Counting
PVAC mitigates RowHammer by incrementing counters on victim rows and resetting them on activation via a parallel counter subarray, avoiding PRAC's saturation and timing penalties while supporting higher hammering tolerance.
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Loaded Dice: Solving the Non-Selection Problem for Scalable Probabilistic RowHammer Defense
PrISM uses a Sampled History Queue to correlate row samples across windows, solving the non-selection problem in probabilistic RowHammer mitigation and cutting slowdown from 10.7% to 1.5% at threshold 250 versus prior methods.