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Moinuddin K. Qureshi

9 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author8

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • quant-ph5
  • cs.CR3
  • cs.AR1
ORCID 0000-0002-1314-9096
same name
  • Moinuddin K. Qureshi — 17 papers, h 57

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212024
most citedHAMMER: boosting fidelity of noisy Quantum circuits by exploiting Hamming behavior of erroneous outcomes

24 citations · 42 across the 9 of their papers we have counts for

collaborators
Showing cs.CRShow all

4 papers · 1 filter

cs.CR2024★ 1 cited

MOAT: Securely Mitigating Rowhammer with Per-Row Activation Counters

Moinuddin Qureshi, Salman Qazi

The security vulnerabilities due to Rowhammer have worsened over the last decade, with existing in-DRAM solutions, such as TRR, getting broken with simple patterns. In response, th…

cs.CR2023

Randomized Line-to-Row Mapping for Low-Overhead Rowhammer Mitigations

Anish Saxena, Saurav Mathur, Moinuddin Qureshi

Modern systems mitigate Rowhammer using victim refresh, which refreshes the two neighbours of an aggressor row when it encounters a specified number of activations. Unfortunately,…

cs.CR2023

Scalable and Configurable Tracking for Any Rowhammer Threshold

Anish Saxena, Moinuddin Qureshi

The Rowhammer vulnerability continues to get worse, with the Rowhammer Threshold (TRH) reducing from 139K activations to 4.8K activations over the last decade. Typical Rowhammer mi…

cs.CR2021★ 4 cited

ExPLoit: Extracting Private Labels in Split Learning

Sanjay Kariyappa, Moinuddin K Qureshi

Split learning is a popular technique used for vertical federated learning (VFL), where the goal is to jointly train a model on the private input and label data held by two parties…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.