Methodology of Assessing Information Leakage through Software-Accessible Telemetries
Author:
Affiliation:
1. Intel Corporation
2. IBM
3. Alibaba group
4. Georgia Institute of Technology
5. Google
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9702149/9702266/09702271.pdf?arnumber=9702271
Reference28 articles.
1. Appli cation Inference using Machine Learning based Side Channel Analysis;chawla;IJCNN,2019
2. POWERT Channels: A Novel Class of Covert Com munication Exploiting Power Management Vulnerabilities;khatamifard;2019 IEEE HPCA IEEE,2019
3. ContainerLeaks: Emerging Security Threats of Information Leakages in Container Clouds
4. A Study on Power Side Channels on Mobile Devices
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2. Side Channel-Assisted Inference Attacks on Machine Learning-Based ECG Classification;2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD);2023-10-28
3. Enabling DVFS Side-Channel Attacks for Neural Network Fingerprinting in Edge Inference Services;2023 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED);2023-08-07
4. Frequency Throttling Side-Channel Attack;Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security;2022-11-07
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