FANCI: identification of stealthy malicious logic using boolean functional analysis
By A. Waksman, Matthew Suozzo, Simha Sethumadhavan. Conference on Computer and Communications Security, 2013
368 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Hardware and Architecture, Signal Processing
View Paper: https://www.semanticscholar.org/paper/e0a9d8ebd3071edad14602d4b6bde5eecc6c5c1b
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
- Riad S. Wahby
- Abhi Shelat
- Siddharth Garg
- Michael Walfish
- Srinath T. V. Setty
- Max Howald
- Dan Boneh
- Henry Corrigan-Gibbs
In Hardware and Architecture
In Signal Processing
Citations in the corpus
- Hardware Trojan Attacks: Threat Analysis and Countermeasures (2014, neutral): “[64] have used the stealthiness property of Trojan-affected nets to isolate them from a given design.”
- Verifiable ASICs (2016, background): “A separate line of research studies mechanisms to detect Trojans inserted by a malicious designer pre-fab [104, 116]; this is complementary to Zebra’s focus on an untrusted foundry.”