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Nils Bernsdorf

dblp:379/0279 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2025
0009-0003-4550-1810ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 since 2021Security and privacy · 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.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Processor architecture and microarchitecture · 100%
Network and information security
1 paper
Hardware security and side channels · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Processor architecture and microarchitecture › memory system microarchitecture
hardware prefetcher
0.912025
ShadowLoad: Injecting State into Hardware Prefetchers · ASPLOS (2) 2025
Hardware security and side channels
microarchitectural side channel
0.312025
ShadowLoad: Injecting State into Hardware Prefetchers · ASPLOS (2) 2025
YearPublicationVenuePosition
2025 ShadowLoad: Injecting State into Hardware Prefetchers
abstract
Hardware prefetchers are an optimization in modern CPUs that predict memory accesses and preemptively load the corresponding value into the cache. Previous work showed that the internal state of hardware prefetchers can act as a side channel, leaking information across security boundaries such as processes, user and kernel space, and even trusted execution environments.
Lorenz Hetterich, Fabian Thomas, Lukas Gerlach 0001, Ruiyi Zhang 0001, Nils Bernsdorf, Eduard Ebert, Michael Schwarz 0001
ASPLOS (2)5
2024 TeeFilter: High-Assurance Network Filtering Engine for High-End IoT and Edge Devices based on TEEs
abstract
Large botnets like Mirai, with 600,000 infected devices, prove that cyber criminals have recognized the potential of attacks against the fast-growing Internet of Things. Moreover, recent critical vulnerabilities like Ripple20 and Amnesia:33 show that taking over a remote system via the network is a real threat. Alarmingly, modern strains of malware rely on exploiting such vulnerabilities to spread, with an increasing tendency. Hence, effective techniques to mitigate the consequences of modern IoT malware are necessary.
Jonas Röckl, Nils Bernsdorf, Tilo Müller
AsiaCCS2