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The RRAM-based neuromorphic computing system has amassed explosive interests for its superior data processing capability and energy efficiency than traditional architectures, and thus being widely used in many data-centric applications. The…

Cryptography and Security · Computer Science 2023-02-21 Hao Lv , Bing Li , Lei Zhang , Cheng Liu , Ying Wang

The rowhammer bug allows an attacker to gain privilege escalation or steal private data. A key requirement of all existing rowhammer attacks is that an attacker must have access to at least part of an exploitable hammer row. We refer to…

Cryptography and Security · Computer Science 2020-07-31 Zhi Zhang , Yueqiang Cheng , Dongxi Liu , Surya Nepal , Zhi Wang

Vulnerabilities emanating from DRAM errors pose a vexing problem that remains, as of yet, unsolved and elusive but cannot be ignored. Prior defenses focused on specific details of early RowHammer attacks and fail to generalize with the…

Cryptography and Security · Computer Science 2026-03-12 Manuel Wiesinger , Daniel Dorfmeister , Stefan Brunthaler

As Dynamic Random Access Memories (DRAM) scale, they are becoming increasingly susceptible to Row Hammer. By rapidly activating rows of DRAM cells (aggressor rows), attackers can exploit inter-cell interference through Row Hammer to flip…

Cryptography and Security · Computer Science 2024-03-19 Jeonghyun Woo , Gururaj Saileshwar , Prashant J. Nair

Per Row Activation Counting (PRAC) has emerged as a robust framework for mitigating RowHammer (RH) vulnerabilities in modern DRAM systems. However, we uncover a critical vulnerability: a timing channel introduced by the Alert Back-Off (ABO)…

Cryptography and Security · Computer Science 2025-05-20 Jeonghyun Woo , Joyce Qu , Gururaj Saileshwar , Prashant J. Nair

We experimentally demonstrate the effects of read disturbance (RowHammer and RowPress) and uncover the inner workings of undocumented read disturbance defense mechanisms in High Bandwidth Memory (HBM). Detailed characterization of six real…

A decade after its academic introduction, RowHammer (RH) remains a moving target that continues to challenge both the industry and academia. With its potential to serve as a critical attack vector, the ever-decreasing RH threshold now…

Cryptography and Security · Computer Science 2025-11-11 Michael Jaemin Kim , Seungmin Baek , Jumin Kim , Hwayong Nam , Nam Sung Kim , Jung Ho Ahn

A fundamental assumption in software security is that a memory location can only be modified by processes that may write to this memory location. However, a recent study has shown that parasitic effects in DRAM can change the content of a…

Cryptography and Security · Computer Science 2016-04-06 Daniel Gruss , Clémentine Maurice , Stefan Mangard

Low-power SRAM architectures are especially sensitive to many types of defects that may occur during manufacturing. Among these, resistive defects can appear. This paper analyzes some types of such defects that may impair the device…

Dynamic Random Access Memory (DRAM) is the de-facto choice for main memory devices due to its cost-effectiveness. It offers a larger capacity and higher bandwidth compared to SRAM but is slower than the latter. With each passing generation,…

Hardware Architecture · Computer Science 2022-01-19 Kaustav Goswami , Hemanta Kumar Mondal , Shirshendu Das , Dip Sankar Banerjee

This paper summarizes the SoftMC DRAM characterization infrastructure, which was published in HPCA 2017, and examines the work's significance and future potential. SoftMC (Soft Memory Controller) is the first publicly-available DRAM testing…

Hardware Architecture · Computer Science 2018-05-09 Hasan Hassan , Nandita Vijaykumar , Samira Khan , Saugata Ghose , Kevin Chang , Gennady Pekhimenko , Donghyuk Lee , Oguz Ergin , Onur Mutlu

Dynamic Random Access Memory (DRAM) is the prevalent memory technology used to build main memory systems of almost all computers. A fundamental shortcoming of DRAM is the need to refresh memory cells to keep stored data intact. DRAM refresh…

Hardware Architecture · Computer Science 2023-06-29 Onur Mutlu

Resistive random-access memory (RRAM) is widely recognized as a promising emerging hardware platform for deep neural networks (DNNs). Yet, due to manufacturing limitations, current RRAM devices are highly susceptible to hardware defects,…

Emerging Technologies · Computer Science 2024-04-25 Mingyuan Xiang , Xuhan Xie , Pedro Savarese , Xin Yuan , Michael Maire , Yanjing Li

Persistent Memory (PMEM), also known as Non-Volatile Memory (NVM), can deliver higher density and lower cost per bit when compared with DRAM. Its main drawback is that it is typically slower than DRAM. On the other hand, DRAM has…

Machine Learning · Computer Science 2022-11-07 Diego Moura , Vinicius Petrucci , Daniel Mosse

Deep neural networks (DNNs) have been shown to tolerate "brain damage": cumulative changes to the network's parameters (e.g., pruning, numerical perturbations) typically result in a graceful degradation of classification accuracy. However,…

Cryptography and Security · Computer Science 2019-06-05 Sanghyun Hong , Pietro Frigo , Yiğitcan Kaya , Cristiano Giuffrida , Tudor Dumitraş

A precise vulnerability discovery model (VDM) will provide a useful insight to assess software security, and could be a good prediction instrument for both software vendors and users to understand security trends and plan ahead patching…

Cryptography and Security · Computer Science 2018-08-30 Viet Hung Nguyen , Fabio Massacci

This paper investigates secure low-cost in-DRAM trackers for mitigating Rowhammer (RH). In-DRAM solutions have the advantage that they can solve the RH problem within the DRAM chip, without relying on other parts of the system. However,…

Cryptography and Security · Computer Science 2024-07-24 Moinuddin Qureshi , Salman Qazi , Aamer Jaleel

Since its public introduction in the mid-2010s, the Row Hammer (RH) phenomenon has drawn significant attention from the research community due to its security implications. Although many RH-protection schemes have been proposed by processor…

Cryptography and Security · Computer Science 2021-12-28 Michael Jaemin Kim , Jaehyun Park , Yeonhong Park , Wanju Doh , Namhoon Kim , Tae Jun Ham , Jae W. Lee , Jung Ho Ahn

Processing-using-DRAM (PuD) is a promising paradigm for alleviating the data movement bottleneck using DRAM's massive internal parallelism and bandwidth to execute very wide operations. Performing a PuD operation involves activating…

The aggressive scaling of technology may have helped to meet the growing demand for higher memory capacity and density, but has also made DRAM cells more prone to errors. Such a reality triggered a lot of interest in modeling DRAM behavior…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-03-30 Lev Mukhanov , Konstantinos Tovletoglou , Hans Vandierendonck , Dimitrios S. Nikolopoulos , Georgios Karakonstantis
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