CLKSCREW: Exposing the Perils of Security-Oblivious Energy Management
By Adrian Tang, Simha Sethumadhavan, Salvatore J. Stolfo. USENIX Security Symposium, 2017
298 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Hardware and Architecture, Signal Processing
View Paper: https://www.semanticscholar.org/paper/5db14b549618a98e31e2847d859495dd49863d96
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Jo Van Bulck
- Frank Piessens
- Ahmad-Reza Sadeghi
- Mani B. Srivastava
- Jeyavijayan Rajendran
- Daniel Gruss
- Daniel Bates
- Yiren Zhao
In Hardware and Architecture
- Ahmad-Reza Sadeghi
- Mani B. Srivastava
- Frank Piessens
- Jeyavijayan Rajendran
- Daniel Gruss
- Jo Van Bulck
- Nicolas Papernot
- Patrick Drew McDaniel
In Signal Processing
- Jo Van Bulck
- Ahmad-Reza Sadeghi
- Mani B. Srivastava
- Frank Piessens
- Daniel Gruss
- Nicolas Papernot
- Nicholas Carlini
- Patrick Drew McDaniel
Citations in the corpus
- Sim2Real Transfer for Deep Reinforcement Learning with Stochastic State Transition Delays (2020, methodology): “Dynamic frequency scaling [9] is a commonly used technique to manage power dissipation [14].”
- HardFails: Insights into Software-Exploitable Hardware Bugs (2019, background): “…TLBleed [23] unprivileged BranchScope [20] unprivileged Spectre [37] unprivileged Meltdown [43] unprivileged MemJam [45] supervisor CLKScrew [69] supervisor Foreshadow [72] supervisor T ABLE 2: Classification of the underlying vulnerabilities of recent microarchitectural attacks by their…”
- Plundervolt: Software-based Fault Injection Attacks against Intel SGX (2020, methodology): “In 2017, Tang et al. [65] discovered a software-based fault attack, dubbed CLKscrew.”
- Sponge Examples: Energy-Latency Attacks on Neural Networks (2020, background): “Energy attacks against mobile devices usually aim to drain the battery more quickly [12, 33], although energy management in mobile devices can also be used to perform deterministic fault injection [34].”