RadKey demonstrates through-wall keystroke inference via RF backscatter tag modulation and LLM-guided classifier adaptation using user-independent time-frequency features.
Zoom on the keystrokes: Exploiting video calls for keystroke inference attacks,
4 Pith papers cite this work. Polarity classification is still indexing.
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DECKER is a domain-invariant four-stage framework (keyboard normalization, adversarial disentanglement, cross-keyboard contrastive alignment, acoustic style randomization) plus LLM post-processing that improves keystroke inference over baselines on the new HEAR dataset, especially in cross-keyboard
VRSafe adds false positive keystrokes to VR typing data to reduce keystroke inference attack accuracy and includes an efficient malicious login detector.
An empirical evaluation of a multi-modal touch detector using MediaPipe, HSV skin filtering, motion differencing, and Canny edges finds low F1 scores on staged video and excessive false positives on real videos, concluding the approach does not enable reliable keystroke reconstruction outside contro
citing papers explorer
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RadKey: An LLM-Guided RF Backscatter System for Through-Wall Keystroke Inference
RadKey demonstrates through-wall keystroke inference via RF backscatter tag modulation and LLM-guided classifier adaptation using user-independent time-frequency features.
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DECKER: Domain-invariant Embedding for Cross-Keyboard Extraction and Recognition
DECKER is a domain-invariant four-stage framework (keyboard normalization, adversarial disentanglement, cross-keyboard contrastive alignment, acoustic style randomization) plus LLM post-processing that improves keystroke inference over baselines on the new HEAR dataset, especially in cross-keyboard
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VRSafe: A Secure Virtual Keyboard to Mitigate Keystroke Inference in Virtual Reality
VRSafe adds false positive keystrokes to VR typing data to reduce keystroke inference attack accuracy and includes an efficient malicious login detector.