Demo Data from EDBT 2026 / reviewers in the wild / expert
Joyce Qu
dblp:407/8198
· DBLP profile ↗
3ranked-venue papers
0as first author
3since 2021 · last 2026
0009-0009-0104-3276ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 2 · 2 since 2021Systems, architecture and hardware · 1 · 1 since 2021Software engineering, systems software and programming languages · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Network and information security
3 papers |
Hardware security and side channels · 87% Systems and software security · 13% | |
| Computer architecture, parallel and distributed computing, and storage systems
3 papers |
Memory systems · 72% Hardware reliability and fault tolerance · 22% GPUs and heterogeneous computing · 6% |
Topics — the 13 heaviest of 13, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Hardware security and side channels
fault attacks |
1.9 | 2 | 2026 | GPUBreach: Privilege Escalation Attacks on GPUs Using Rowhammer · SP 2026 GPUHammer: Rowhammer Attacks on GPU Memories are Practical · USENIX Security Symposium 2025 |
Hardware security and side channels › fault attacks › fault injection attack
rowhammer attack |
1.9 | 2 | 2026 | GPUBreach: Privilege Escalation Attacks on GPUs Using Rowhammer · SP 2026 GPUHammer: Rowhammer Attacks on GPU Memories are Practical · USENIX Security Symposium 2025 |
Hardware security and side channels
GPU security |
1.0 | 1 | 2026 | GPUBreach: Privilege Escalation Attacks on GPUs Using Rowhammer · SP 2026 |
Systems and software security › operating system security
privilege escalation |
1.0 | 1 | 2026 | GPUBreach: Privilege Escalation Attacks on GPUs Using Rowhammer · SP 2026 |
Hardware security and side channels
side-channel attack |
0.9 | 1 | 2025 | When Mitigations Backfire: Timing Channel Attacks and Defense for PRAC-Based RowHammer Mitigations · ISCA 2025 |
Hardware security and side channels › side-channel attack
timing side channel |
0.9 | 1 | 2025 | When Mitigations Backfire: Timing Channel Attacks and Defense for PRAC-Based RowHammer Mitigations · ISCA 2025 |
Memory systems › DRAM
per row activation counting |
0.9 | 1 | 2025 | When Mitigations Backfire: Timing Channel Attacks and Defense for PRAC-Based RowHammer Mitigations · ISCA 2025 |
Memory systems › DRAM › rowhammer
rowhammer mitigation |
0.9 | 1 | 2025 | When Mitigations Backfire: Timing Channel Attacks and Defense for PRAC-Based RowHammer Mitigations · ISCA 2025 |
Hardware reliability and fault tolerance
soft errors |
0.9 | 1 | 2025 | When Mitigations Backfire: Timing Channel Attacks and Defense for PRAC-Based RowHammer Mitigations · ISCA 2025 |
Memory systems
DRAM |
0.6 | 2 | 2026 | GPUBreach: Privilege Escalation Attacks on GPUs Using Rowhammer · SP 2026 When Mitigations Backfire: Timing Channel Attacks and Defense for PRAC-Based RowHammer Mitigations · ISCA 2025 |
Memory systems › DRAM
rowhammer |
0.3 | 1 | 2026 | GPUBreach: Privilege Escalation Attacks on GPUs Using Rowhammer · SP 2026 |
GPUs and heterogeneous computing
GPU memory |
0.3 | 1 | 2025 | GPUHammer: Rowhammer Attacks on GPU Memories are Practical · USENIX Security Symposium 2025 |
Memory systems › DRAM
refresh management |
0.3 | 1 | 2025 | When Mitigations Backfire: Timing Channel Attacks and Defense for PRAC-Based RowHammer Mitigations · ISCA 2025 |
Methods — techniques the papers use, named apart from their topics
rowhammer bit-flips · 2.0page table manipulation · 2.0simulation · 1.7measurement · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | GPUBreach: Privilege Escalation Attacks on GPUs Using RowhammerabstractNVIDIA 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 untargeted bit-flips in victim data like weights of machine learning models, to degrade model accuracy, unlike CPU exploits shown capable of privilege escalation. In this paper, we demonstrate that GPU Rowhammer exploits can be as potent as CPU Rowhammer attacks. By exploiting the GPU page table management to identify when and where new page tables are allocated, we enable an unprivileged user CUDA kernel of one process to use RowHammer bit-flips to gain access to the GPU memory of other processes or co-tenants via targeted tampering of such page-tables resident on the GPU memory. Using this newly found primitive, we demonstrate the first GPU-side privilege escalation attacks, leaking secret data such as cryptographic keys from cuPQC libraries, and even tampering with the model's GPU assembly code to degrade models more stealthily than previous attacks. We further demonstrate that GPU-side privilege escalation can lead to CPU-side privilege escalation, defeating the protections provided by the IOMMU, enabling a malicious user-level program with GPU access to gain root shell and system-wide control, even in a non-multi-tenant setting. Chris S. Lin, Yuqin Yan, Guozhen Ding, Joyce Qu, Joseph Zhu, David Lie, Gururaj Saileshwar |
SP | 4 |
| 2025 | When Mitigations Backfire: Timing Channel Attacks and Defense for PRAC-Based RowHammer MitigationsabstractPer Row Activation Counting (PRAC) has emerged as a robust framework for mitigating RowHammer (RH) vulnerabilities in modern DRAM systems.However, we uncover a critical vulnerability: a timing channel introduced by the Alert Back-Off (ABO) protocol and Refresh Management (RFM) commands.We present PRACLeak, a novel attack that exploits these timing differences to leak sensitive information, such as secret keys from vulnerable AES implementations, by monitoring memory access latencies.To counter this, we propose Timing-Safe PRAC (TPRAC), a defense that eliminates PRAC-induced timing channels without compromising RH mitigation efficacy.TPRAC uses Timing-Based RFMs, issued periodically and independent of memory activity.It requires only a single-entry in-DRAM mitigation queue per DRAM bank and is compatible with existing DRAM standards.Our evaluations demonstrate that TPRAC closes timing channels while incurring only 3.4% performance overhead at the RH threshold of 1024. CCS Concepts• Security and privacy → Security in hardware. Jeonghyun Woo, Joyce Qu, Gururaj Saileshwar, Prashant J. Nair |
ISCA | 2 |
| 2025 | GPUHammer: Rowhammer Attacks on GPU Memories are Practical
Chris S. Lin, Joyce Qu, Gururaj Saileshwar |
USENIX Security Symposium | 2 |