Eavesdropping user credentials via GPU side channels on smartphones

Author:

Yang Boyuan1ORCID,Chen Ruirong1ORCID,Huang Kai1,Yang Jun1ORCID,Gao Wei1ORCID

Affiliation:

1. University of Pittsburgh, USA

Funder

National Science Foundation

Publisher

ACM

Reference57 articles.

1. Practicality of accelerometer side channels on smartphones

2. Liang Cai and Hao Chen. 2011. TouchLogger: Inferring Keystrokes on Touch Screen from Smartphone Motion. USENIX Summit on Hot Topics in Security (HotSec). Liang Cai and Hao Chen. 2011. TouchLogger: Inferring Keystrokes on Touch Screen from Smartphone Motion. USENIX Summit on Hot Topics in Security (HotSec).

3. An empirical assessment of security risks of global Android banking apps

4. Android HIV: A Study of Repackaging Malware for Evading Machine-Learning Detection

5. Anupam Das Nikita Borisov and Matthew Caesar. 2016. Tracking Mobile Web Users Through Motion Sensors: Attacks and Defenses.. In NDSS. Anupam Das Nikita Borisov and Matthew Caesar. 2016. Tracking Mobile Web Users Through Motion Sensors: Attacks and Defenses.. In NDSS.

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1. Owl: Differential-Based Side-Channel Leakage Detection for CUDA Applications;2024 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN);2024-06-24

2. Probing Vulnerabilities in GPU Shader Execution;2024 2nd International Conference on Device Intelligence, Computing and Communication Technologies (DICCT);2024-03-15

3. EavesDroid: Eavesdropping User Behaviors via OS Side Channels on Smartphones;IEEE Internet of Things Journal;2024-02-01

4. A novel GPU based Geo-Location Inference Attack on WebGL framework;High-Confidence Computing;2023-12

5. Exploiting Contactless Side Channels in Wireless Charging Power Banks for User Privacy Inference via Few-shot Learning;Proceedings of the 29th Annual International Conference on Mobile Computing and Networking;2023-10-02

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