Demo Data from EDBT 2026 / reviewers in the wild / expert
Qi Ling 0001
dblp:52/4581-1
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2025
0009-0000-7837-5580ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 since 2021Security and privacy · 1 · 1 first-author · 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
1 paper |
Systems and software security · 50% Hardware security and side channels · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Systems and software security › vulnerability analysis
exploitability assessment |
0.9 | 1 | 2025 | GadgetMeter: Quantitatively and Accurately Gauging the Exploitability of Speculative Gadgets · NDSS 2025 |
Hardware security and side channels › microarchitectural attacks › transient execution attack
speculative execution attack |
0.9 | 1 | 2025 | GadgetMeter: Quantitatively and Accurately Gauging the Exploitability of Speculative Gadgets · NDSS 2025 |
Methods — techniques the papers use, named apart from their topics
quantitative analysis · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | GadgetMeter: Quantitatively and Accurately Gauging the Exploitability of Speculative Gadgets
Qi Ling 0001, Yujun Liang, Baris Kasikci, Shuwen Deng |
NDSS | 1 |
| 2023 | Towards Fine-Grained, High-Coverage Internet Monitoring at ScaleabstractThe massiveness of the Internet makes it rather difficult to achieve high-coverage monitoring at scale with reasonable overhead. The traditional wisdom for scalable and high-coverage Internet monitoring is to consider clients in each /24 as a whole and only monitor the representatives, either by active probing or by passive traffic sniffing, such that performance of the rest can be predicted for high coverage. There are two basic assumptions behind this traditional wisdom: 1) clients in the same /24 have similar performance, and 2) tracking all targeted /24s equates to full-coverage monitoring. With the increasing prevalence of load balancing, both assumptions are now questionable. Through large-scale measurements, we evaluate the coverage and predictability issues of current practices, motivate the necessity of link-level fine-grained, high-coverage monitoring, and present new insights on how to achieve it. Our key findings are: 1) the current practices using the representatives of /24s may fail to capture the changes of up to 85% of links in the Internet; 2) the path difference between client flows to the same /24 is both significant and prevalent; 3) it is possible to cover most of the visible links from DCs to both small and large prefixes by carefully choosing client flows; 4) high-coverage monitoring can be achieved with at least three times less overhead than direct link monitoring. Qi Ling 0001, Penghui Mi, Chaoyang Ji, Yinliang Hu, Yibo Pi |
APNet | 2 |