activity
20182022
most citedImproving Adversarial Robustness of Ensembles with Diversity Training

98 citations · 225 across the 12 of their papers we have counts for

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5 papers · 1 filter

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.CR20212 cited

Enabling Inference Privacy with Adaptive Noise Injection

Sanjay Kariyappa, Ousmane Dia, Moinuddin K Qureshi

User-facing software services are becoming increasingly reliant on remote servers to host Deep Neural Network (DNN) models, which perform inference tasks for the clients. Such serv…

cs.CR2020

MIRAGE: Mitigating Conflict-Based Cache Attacks with a Practical Fully-Associative Design

Gururaj Saileshwar, Moinuddin Qureshi

Shared processor caches are vulnerable to conflict-based side-channel attacks, where an attacker can monitor access patterns of a victim by evicting victim cache lines using cache-…

cs.CR20192 cited

Lookout for Zombies: Mitigating Flush+Reload Attack on Shared Caches by Monitoring Invalidated Lines

Gururaj Saileshwar, Moinuddin K. Qureshi

OS-based page sharing is a commonly used optimization in modern systems to reduce memory footprint. Unfortunately, such sharing can cause Flush+Reload cache attacks, whereby a spy…