5 papers
AutoPRAC: Automating Attack Discovery for PRAC-Based Rowhammer Defenses using Model Checkers
Joyce Qu, Gururaj Saileshwar
Per-Row Activation Counting (PRAC) in DDR5 is a specification to mitigate Rowhammer attacks by tracking activations per row and triggering mitigative refreshes when needed. However…
GPUBreach: Privilege Escalation Attacks on GPUs using Rowhammer
Chris S. Lin, Yuqin Yan, Guozhen Ding +4
NVIDIA GPUs with GDDR memories have been shown susceptible to Rowhammer-based bit-flips, similar to CPUs. However, Rowhammer exploits on GPUs have been limited to injecting untarge…
PrisonBreak: Jailbreaking Large Language Models with at Most Twenty-Five Targeted Bit-flips
Zachary Coalson, Jeonghyun Woo, Chris S. Lin +8
We study a new vulnerability in commercial-scale safety-aligned large language models (LLMs): their refusal to generate harmful responses can be broken by flipping only a few bits…
GPUHammer: Rowhammer Attacks on GPU Memories are Practical
Chris S. Lin, Joyce Qu, Gururaj Saileshwar
Rowhammer is a read disturbance vulnerability in modern DRAM that causes bit-flips, compromising security and reliability. While extensively studied on Intel and AMD CPUs with DDR…
When Mitigations Backfire: Timing Channel Attacks and Defense for PRAC-Based RowHammer Mitigations
Jeonghyun Woo, Joyce Qu, Gururaj Saileshwar +1
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 vulnerabil…