Many modern workloads, such as neural networks, databases, and graph processing, are
fundamentally memory-bound. For such workloads, the data movement between main …

Modern computing systems are overwhelmingly designed to move data to computation. This
design choice goes directly against at least three key trends in computing that cause …

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

As the machine learning-related technology has made great progress in recent years, deep
neural networks are widely used in many scenarios, including security-critical ones, which …

Recent advancements in Deep Neural Networks (DNNs) have enabled widespread
deployment in multiple security-sensitive domains. The need for resource-intensive training …

We present the new class of non-uniform Rowhammer access patterns that bypass
undocumented, proprietary in-DRAM Target Row Refresh (TRR) while operating in a …

AMD has gained a significant market share in recent years with the introduction of the Zen
microarchitecture. While there are many recent Rowhammer attacks launched from Intel …

RowHammer is a circuit-level DRAM vulnerability where repeatedly accessing (ie,
hammering) a DRAM row can cause bit flips in physically nearby rows. The RowHammer …

In this paper, we present CSI: Rowhammer, a principled hardware-software co-design
Rowhammer mitigation with cryptographic security and integrity guarantees, that does not …

As Row Hammer (RH) attacks have been a critical threat to computer systems, numerous
hardware-based (HWbased) RH mitigation strategies have been proposed. However, the …