EDBT 2026 Demo / reviewers in the wild / expert
Simone Franza
dblp:352/7249
· DBLP profile ↗
5ranked-venue papers
0as first author
5since 2021 · last 2026
0009-0008-8150-7749ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 4 · 4 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Continuous User Behavior Monitoring using DNS Cache Timing Attacks
Hannes Weissteiner, Roland Czerny, Simone Franza, Stefan Gast, Johanna Ullrich, Daniel Gruss |
NDSS | 3 |
| 2025 | Zero-Click SnailLoad: From Minimal to No User Interaction
Stefan Gast, Nora Puntigam, Simone Franza, Sudheendra Raghav Neela, Daniel Gruss, Johanna Ullrich |
ESORICS (4) | 3 |
| 2024 | SnailLoad: Exploiting Remote Network Latency Measurements without JavaScript
Stefan Gast, Roland Czerny, Jonas Juffinger, Fabian Rauscher, Simone Franza, Daniel Gruss |
USENIX Security Symposium | 5 |
| 2024 | Using Knowledge Construction Theory to Evaluate Learning Processes: A Randomized Controlled Trial on Showing Gradually Built-up Concept Maps Alongside a Scientific TextabstractScientific texts convey new and complex information relevant not only to researchers but also to lay audiences. We present a randomized controlled trial that investigated whether showing a concept map, gradually building up as a user reads a scientific text, supports the cognitive processes of knowledge construction. The intervention group (n = 44) exhibited significantly more knowledge construction [t(89) = 1.94, p = .029, d = 0.41] than the control group (n = 47). The intervention supported basic knowledge construction, i.e., simple processing of information, but not medium and complex levels. This study makes two contributions: (1) showing interactive concept maps and building them up gradually alongside reading helps make scientific texts cognitively more accessible to a lay audience, e.g., to inform public debate, and (2) knowledge construction theory can be used as a theoretical foundation for measuring specific aspects of learning processes—complementing other metrics for comparative design examinations, e.g., usability, user experience, or performance-based measures. Leonie Disch, Angela Fessl, Simone Franza, Joachim Kimmerle, Viktoria Pammer-Schindler |
Int. J. Hum. Comput. Interact. | 3 |
| 2023 | SQUIP: Exploiting the Scheduler Queue Contention Side ChannelabstractModern superscalar CPUs have multiple execution units that independently execute operations from the instruction stream. Previous work has shown that numerous side channels exist around these out-of-order execution pipelines, particularly for an attacker running on an SMT core.In this paper, we present the SQUIP attack, the first side-channel attack on scheduler queues, which are critical for deciding the schedule of instructions to be executed in superscalar CPUs. Scheduler queues have not been explored as a side channel so far, as Intel CPUs only have a single scheduler queue, and contention thereof would be virtually the same as contention of the reorder buffer. However, the Apple M1, AMD Zen 2, and Zen 3 microarchitectures have separate scheduler queues per execution unit. We first reverse-engineer the behavior of the scheduler queues on these CPUs and show that they can be primed and probed. The SQUIP attack observes the occupancy level from within the same hardware core and across SMT threads. We evaluate the performance of the SQUIP attack in a covert channel, exfiltrating 0.89 Mbit/s from a co-located virtual machine at an error rate below 0.8 %, and 2.70 Mbit/s from a co-located process at an error rate below 0.8 %. We then demonstrate the side channel on an mbedTLS RSA signature process in a co-located process and in a co-located virtual machine. Our attack recovers full RSA-4096 keys with only 50 500 traces and less than 5 to 18 bit errors on average. Finally, we discuss mitigations necessary, especially for Zen 2 and Zen 3 systems, to prevent our attacks. Stefan Gast, Jonas Juffinger, Martin Schwarzl, Gururaj Saileshwar, Andreas Kogler, Simone Franza, Markus Köstl, Daniel Gruss |
SP | 6 |