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Rowhammer has drawn much attention from both academia and industry in the past years as rowhammer exploitation poses severe consequences to system security. Since the first comprehensive study of rowhammer in 2014, a number of rowhammer…

Cryptography and Security · Computer Science 2024-05-02 Zhi Zhang , Decheng Chen , Jiahao Qi , Yueqiang Cheng , Shijie Jiang , Yiyang Lin , Yansong Gao , Surya Nepal , Yi Zou , Jiliang Zhang , Yang Xiang

Since its inception, Rowhammer exploits have rapidly evolved into increasingly sophisticated threats compromising data integrity and the control flow integrity of victim processes. Nevertheless, it remains a challenge for an attacker to…

Cryptography and Security · Computer Science 2025-05-06 Andrew Adiletta , M. Caner Tol , Kemal Derya , Berk Sunar , Saad Islam

RowHammer vulnerabilities pose a significant threat to modern DRAM-based systems, where rapid activation of DRAM rows can induce bit-flips in neighboring rows. To mitigate this, state-of-the-art host-side RowHammer mitigations typically…

Cryptography and Security · Computer Science 2025-05-16 Jeonghyun Woo , Prashant J. Nair

Emerging non-volatile memory (NVM) technologies offer unique advantages in energy efficiency, latency, and features such as computing-in-memory. Consequently, emerging NVM technologies are considered an ideal substrate for computation and…

All the state-of-the-art rowhammer attacks can break the MMU-enforced inter-domain isolation because the physical memory owned by each domain is adjacent to each other. To mitigate these attacks, physical domain isolation, introduced by…

Cryptography and Security · Computer Science 2019-10-22 Yueqiang Cheng , Zhi Zhang , Surya Nepal , Zhi Wang

State-of-the-art deep neural networks (DNNs) have been proven to be vulnerable to adversarial manipulation and backdoor attacks. Backdoored models deviate from expected behavior on inputs with predefined triggers while retaining performance…

Machine Learning · Computer Science 2023-04-17 M. Caner Tol , Saad Islam , Andrew J. Adiletta , Berk Sunar , Ziming Zhang

The RowHammer vulnerability in DRAM is a critical threat to system security. To protect against RowHammer, vendors commit to security-through-obscurity: modern DRAM chips rely on undocumented, proprietary, on-die mitigations, commonly known…

Cryptography and Security · Computer Science 2022-10-25 Hasan Hassan , Yahya Can Tugrul , Jeremie S. Kim , Victor van der Veen , Kaveh Razavi , Onur Mutlu

Security of machine learning is increasingly becoming a major concern due to the ubiquitous deployment of deep learning in many security-sensitive domains. Many prior studies have shown external attacks such as adversarial examples that…

Cryptography and Security · Computer Science 2020-04-01 Fan Yao , Adnan Siraj Rakin , Deliang Fan

Recent advancements in side-channel attacks have revealed the vulnerability of modern Deep Neural Networks (DNNs) to malicious adversarial weight attacks. The well-studied RowHammer attack has effectively compromised DNN performance by…

Hardware Architecture · Computer Science 2024-12-04 Ranyang Zhou , Jacqueline T. Liu , Sabbir Ahmed , Shaahin Angizi , Adnan Siraj Rakin

In order to shed more light on how RowHammer affects modern and future devices at the circuit-level, we first present an experimental characterization of RowHammer on 1580 DRAM chips (408x DDR3, 652x DDR4, and 520x LPDDR4) from 300 DRAM…

Hardware Architecture · Computer Science 2020-06-01 Jeremie S. Kim , Minesh Patel , A. Giray Yaglikci , Hasan Hassan , Roknoddin Azizi , Lois Orosa , Onur Mutlu

With lowering thresholds, transparently defending against Rowhammer within DRAM is challenging due to the lack of time to perform mitigation. Commercially deployed in-DRAM defenses like TRR that steal time from normal refreshes~(REF) to…

Cryptography and Security · Computer Science 2025-01-14 Hritvik Taneja , Moinuddin Qureshi

Federated Learning (FL) has the potential for simultaneous global learning amongst a large number of parallel agents, enabling emerging AI such as LLMs to be trained across demographically diverse data. Central to this being efficient is…

Machine Learning · Computer Science 2026-04-22 Jinsheng Yuan , Yuhang Hao , Weisi Guo , Yun Wu , Chongyan Gu

Memory isolation is critical for system reliability, security, and safety. Unfortunately, read disturbance can break memory isolation in modern DRAM chips. For example, RowHammer is a well-studied read-disturb phenomenon where repeatedly…

DRAM cells are susceptible to Data-Disturbance Errors (DDE), which can be exploited by an attacker to compromise system security. Rowhammer is a well-known DDE vulnerability that occurs when a row is repeatedly activated. Rowhammer can be…

Cryptography and Security · Computer Science 2024-07-24 Moinuddin Qureshi , Anish Saxena , Aamer Jaleel

DRAM read disturbance can break memory isolation, a fundamental property to ensure system robustness (i.e., reliability, security, safety). RowHammer and RowPress are two different DRAM read disturbance phenomena. RowHammer induces bitflips…

Hardware Architecture · Computer Science 2024-06-25 Haocong Luo , Ismail Emir Yüksel , Ataberk Olgun , A. Giray Yağlıkçı , Mohammad Sadrosadati , Onur Mutlu

Cloud providers are concerned that Rowhammer poses a potentially critical threat to their servers, yet today they lack a systematic way to test whether the DRAM used in their servers is vulnerable to Rowhammer attacks. This paper presents…

Cryptography and Security · Computer Science 2020-03-11 Lucian Cojocar , Jeremie Kim , Minesh Patel , Lillian Tsai , Stefan Saroiu , Alec Wolman , Onur Mutlu

After years of development, FPGAs are finally making an appearance on multi-tenant cloud servers. These heterogeneous FPGA-CPU architectures break common assumptions about isolation and security boundaries. Since the FPGA and CPU…

Cryptography and Security · Computer Science 2023-02-20 Zane Weissman , Thore Tiemann , Daniel Moghimi , Evan Custodio , Thomas Eisenbarth , Berk Sunar

This dissertation rigorously characterizes many modern commodity DRAM devices and shows that by exploiting DRAM access timing margins within manufacturer-recommended DRAM timing specifications, we can significantly improve system…

Hardware Architecture · Computer Science 2021-09-30 Jeremie S. Kim

Rowhammer attacks that corrupt level-1 page tables to gain kernel privilege are the most detrimental to system security and hard to mitigate. However, recently proposed software-only mitigations are not effective against such kernel…

Cryptography and Security · Computer Science 2021-12-14 Zhi Zhang , Yueqiang Cheng , Minghua Wang , Wei He , Wenhao Wang , Nepal Surya , Yansong Gao , Kang Li , Zhe Wang , Chenggang Wu

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