acoustic-keylogger
Revisiting-Contrastive-SSL
| acoustic-keylogger | Revisiting-Contrastive-SSL | |
|---|---|---|
| 4 | 1 | |
| 86 | 86 | |
| - | - | |
| 0.0 | 0.0 | |
| over 1 year ago | over 2 years ago | |
| Python | Python | |
| - | GNU General Public License v3.0 or later |
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acoustic-keylogger
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AMD's Firmware TPMs Vulnerable to Hardware Attacks, Defeating Disk Encryption
You don't even need to attach it, other placements are sufficient as well. <https://github.com/shoyo/acoustic-keylogger/tree/master/acou...>
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Crooks’ Mistaken Bet on Encrypted Phones
It's worse than that. Physical access to target hardware in any state for any length of time can result in full compromise in the future.
Brief access to target's premises can result in full compromise without even using a camera:
https://github.com/shoyo/acoustic-keylogger
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ELI5 hardware keylogging
On the hardware side, we've had enough advances in machine learning that acoustic "keyloggers" that can reconstruct a series of keystrokes based on an audio recording are starting to become viable: https://github.com/shoyo/acoustic-keylogger
- Sound-based keylogging: Clustering keystroke audio recordings with t-SNE
Revisiting-Contrastive-SSL
What are some alternatives?
Stitch - Python Remote Administration Tool (RAT)
DiffCSE - Code for the NAACL 2022 long paper "DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings"
HiddenEye-Legacy - Modern Phishing Tool With Advanced Functionality And Multiple Tunnelling Services [ Android-Support-Available ]
mmselfsup - OpenMMLab Self-Supervised Learning Toolbox and Benchmark
KeyLogger-WebService - "KeyLogger-WebService" Is a Keylogger Write In python.
self-supervised - Whitening for Self-Supervised Representation Learning | Official repository
tpm.dev.tutorials - Tutorials from TPM.dev members
TS-TCC - [IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"
PASS - The PASS dataset: pretrained models and how to get the data
solo-learn - solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning