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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

Dynamic Random Access Memory (DRAM) is pervasive in computer systems. Cell vulnerabilities caused by unintended phenomena (forced retention failure, latency alteration, rowhammer and rowpress) lead to unintended bit flips in memory. These…

Cryptography and Security · Computer Science 2026-03-20 Zilong Hu , Hongming Fei , Prosanta Gope , Jack Miskelly , Owen Millwood , Biplab Sikdar

RowHammer is a major read disturbance mechanism in DRAM where repeatedly accessing (hammering) a row of DRAM cells (DRAM row) induces bitflips in other physically nearby DRAM rows. RowHammer solutions perform preventive actions (e.g.,…

RowHammer is a vulnerability inside DRAM chips where an attacker repeatedly accesses a DRAM row to flip bits in the nearby rows without directly accessing them. Several studies have found that flipping bits in the address part inside a page…

Cryptography and Security · Computer Science 2024-06-21 Keigo Yoshioka , Soramichi Akiyama

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. Attackers leverage RowHammer bitflips in real systems to take over…

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

Aggressive memory density scaling causes modern DRAM devices to suffer from RowHammer, a phenomenon where rapidly activating a DRAM row can cause bit-flips in physically-nearby rows. Recent studies demonstrate that modern DRAM chips,…

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

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…

Physically Unclonable Functions (PUFs) have become an important and promising hardware primitive for device fingerprinting, device identification, or key storage. Intrinsic PUFs leverage components already found in existing devices, unlike…

RowHammer is a major read disturbance mechanism in DRAM where repeatedly accessing (hammering) a row of DRAM cells (DRAM row) induces bitflips in physically nearby DRAM rows (victim rows). To ensure robust DRAM operation, state-of-the-art…

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

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

RowHammer is a circuit-level DRAM vulnerability, where repeatedly activating and precharging a DRAM row, and thus alternating the voltage of a row's wordline between low and high voltage levels, can cause bit flips in physically nearby…

Embedded software is developed under the assumption that hardware execution is always correct. Fault attacks break and exploit that assumption. Through the careful introduction of targeted faults, an adversary modifies the control-flow or…

Cryptography and Security · Computer Science 2020-03-25 Bilgiday Yuce , Patrick Schaumont , Marc Witteman

Rowhammer is a well-studied DRAM phenomenon wherein multiple activations to a given row can cause bit flips in adjacent rows. Many mitigation techniques have been introduced to address Rowhammer, with some support being incorporated into…

Hardware Architecture · Computer Science 2026-02-17 Maccoy Merrell , Daniel Puckett , Gino Chacon , Jeffrey Stuecheli , Stavros Kalafatis , Paul V. Gratz

Cache attacks exploit memory access patterns of cryptographic implementations. Constant-Time implementation techniques have become an indispensable tool in fighting cache timing attacks. These techniques engineer the memory accesses of…

Cryptography and Security · Computer Science 2018-11-20 Ahmad Moghimi , Thomas Eisenbarth , Berk Sunar

Rowhammer is a serious security problem of contemporary dynamic random-access memory (DRAM) where reads or writes of bits can flip other bits. DRAM manufacturers add mitigations, but don't disclose details, making it difficult for customers…

Cryptography and Security · Computer Science 2022-12-01 Amir Naseredini , Martin Berger , Matteo Sammartino , Shale Xiong

Rowhammer is a hardware security vulnerability at the heart of every system with modern DRAM-based memory. Despite its discovery a decade ago, comprehensive defenses remain elusive, while the probability of successful attacks grows with…

Cryptography and Security · Computer Science 2024-09-25 Anish Saxena , Walter Wang , Alexandros Daglis

Memory utilization can be reduced by merging identical memory blocks into copy-on-write mappings. Previous work showed that this so-called memory deduplication can be exploited in local attacks to break ASLR, spy on other programs,and…

Cryptography and Security · Computer Science 2021-11-17 Martin Schwarzl , Erik Kraft , Moritz Lipp , Daniel Gruss