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20182026
most citedpLUTo: Enabling Massively Parallel Computation in DRAM via Lookup Tables

60 citations · 222 across the 56 of their papers we have counts for

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10 papers · 1 filter

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

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…

cs.CR2025

CIPHERMATCH: Accelerating Homomorphic Encryption-Based String Matching via Memory-Efficient Data Packing and In-Flash Processing

Mayank Kabra, Rakesh Nadig, Harshita Gupta +7

Homomorphic encryption (HE) allows secure computation on encrypted data without revealing the original data, providing significant benefits for privacy-sensitive applications. Many…

cs.CR2025

Understanding and Mitigating Covert Channel and Side Channel Vulnerabilities Introduced by RowHammer Defenses

F. Nisa Bostancı, Oğuzhan Canpolat, Ataberk Olgun +5

DRAM chips are vulnerable to read disturbance phenomena (e.g., RowHammer and RowPress), where repeatedly accessing or keeping open a DRAM row causes bitflips in nearby rows. Attack…

cs.CR2024★ 1 cited

Revisiting Main Memory-Based Covert and Side Channel Attacks in the Context of Processing-in-Memory

F. Nisa Bostanci, Konstantinos Kanellopoulos, Ataberk Olgun +6

We introduce IMPACT, a set of high-throughput main memory-based timing attacks that leverage characteristics of processing-in-memory (PiM) architectures to establish covert and sid…

cs.CR2024

CoMeT: Count-Min-Sketch-based Row Tracking to Mitigate RowHammer at Low Cost

F. Nisa Bostanci, Ismail Emir Yuksel, Ataberk Olgun +5

We propose a new RowHammer mitigation mechanism, CoMeT, that prevents RowHammer bitflips with low area, performance, and energy costs in DRAM-based systems at very low RowHammer th…

cs.CR2023

RowPress: Amplifying Read Disturbance in Modern DRAM Chips

Haocong Luo, Ataberk Olgun, A. Giray Yağlıkçı +6

Memory isolation is critical for system reliability, security, and safety. Unfortunately, read disturbance can break memory isolation in modern DRAM chips. For example, RowHammer i…

cs.CR2019★ 9 cited

Dataplant: Enhancing System Security with Low-Cost In-DRAM Value Generation Primitives

Lois Orosa, Yaohua Wang, Ivan Puddu +13

DRAM manufacturers have been prioritizing memory capacity, yield, and bandwidth for years, while trying to keep the design complexity as simple as possible. DRAM chips do not carry…