In light of their remarkable predictive capabilities, artificial intelligence (AI) models driven by
deep learning (DL) have witnessed widespread adoption in the agriculture sector …

We provide an overview of recent developments and future directions in the RowHammer
vulnerability that plagues modern DRAM (Dynamic Random Memory Access) chips, which …

DRAM is the building block of modern main memory systems. DRAM cells must be
periodically refreshed to prevent data loss. Refresh operations degrade system performance …

To understand and improve DRAM performance, reliability, security, and energy efficiency,
prior works study characteristics of commodity DRAM chips. Unfortunately, state-of-the-art …

Despite nearly decade-long mitigation efforts in academia and industry, the community is yet
to find a practical solution to the Rowhammer vulnerability. Comprehensive software …

Backdoor attacks have raised significant concerns in machine learning (ML) systems.
Mainstream ML backdoor attacks typically involve either poisoning the victim's training …

The shortcomings of previous Rowhammer mitigations prevent their adoption in practice.
Their implementations either need significant amounts of fast memory, such as CAM or …

Today's cloud DRAM lacks strong isolation primitives, highlighted by Rowhammer bit flips.
Rowhammer poses an increasing threat to cloud security/reliability, given (1) DRAM …

Global variables in the Linux kernel have been a common target of memory corruption
attacks to achieve privilege escalation. Several potential defense mechanisms can be …

Rowhammer is a hardware vulnerability in DRAM memory, where repeated access to
hammer rows can induce bit flips in neighboring victim rows. Rowhammer attacks have …