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20222026
most citedSpyHammer: Understanding and Exploiting RowHammer under Fine-Grained Temperature Variations

13 citations · 57 across the 75 of their papers we have counts for

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Showing 2026 · cs.CRShow all

7 papers · 2 filters

cs.CR2026

HULK: An Efficient Algorithm for Enabling Fast Bulk Bitwise Operations on Homomorphically Encrypted Data

Mayank Kabra, Phillip Widdowson, Harshita Gupta +9

A wide range of important cloud applications, e.g., database analytics, graph analytics, and genome analysis, spend a considerable amount of time performing bulk bitwise operations…

cs.CR2026

MORDOR: Mitigating Overheads of Read Disturbance Preventive Operations via Elastic Refresh Scheduling

Maria Makeenkova, Ataberk Olgun, F. Nisa Bostancı +3

Modern DRAM chips are susceptible to read disturbance phenomena such as RowHammer, where repeatedly accessing (hammering) a row of DRAM cells (i.e., a DRAM row) induces bitflips in…

cs.CR2026

ColumnKeeper: Efficient Solutions to the ColumnDisturb Vulnerability in DRAM-based Systems

Andreas Kosmas Kakolyris, F. Nisa Bostanci, Ataberk Olgun +7

Modern DRAM chips are vulnerable to read disturbance phenomena such as RowHammer and RowPress, which induce bitflips after accessing nearby rows a certain number of times (the read…

cs.CR2026

Memory-Centric Computing: Security Benefits and Challenges of Processing-in-DRAM

Ismail Emir Yuksel, F. Nisa Bostanci, Ataberk Olgun +1

Today's computing systems are processor-centric: they require frequent data movement between processing elements (e.g., CPU) and main memory (DRAM), leading to significant ineffici…

cs.CR2026

ScaleDisturb: Exploiting Temporal Asymmetry to Amplify Read Disturbance in Modern DRAM Chips

Jikun Wang, Haocong Luo, Ataberk Olgun +6

DRAM suffers from read disturbance phenomena (e.g., RowHammer and RowPress), where repeatedly accessing or continuously keeping open a DRAM row (aggressor row) induces bitflips in…

cs.CR2026

Taking Cryptography Out of the Data Path via Near-Memory Processing in DRAM

Nicola Barcarolo, Brahmaiah Gandham, Mohammad Sadrosadati +3

Cryptographic algorithms such as AES-128 and SHA-256 are fundamental to ensuring data security and integrity. Although these algorithms are computationally efficient, their perform…

cs.CR2026

HE-PIM: Demystifying Homomorphic Operations on a Real-world Processing-in-Memory System

Harshita Gupta, Mayank Kabra, Jaewoo Park +9

Homomorphic encryption (HE) enables computation over encrypted data, offering strong privacy guarantees for untrusted computing environments. Practical adoption remains limited by…