Category: Forensics & Machine Learning

Content Authenticity: Why Deepfake Detection Loses and Provenance Wins

January 25, 2026 No Comments

Detecting synthetic media is an adversarial problem that structurally favours the forger. The answerable question is not whether an image is real, but whether it can prove where it came from.

Steganography and Steganalysis: Hiding Data, Finding It, and Proving Provenance

December 28, 2024 No Comments

How data is hidden in images, why detection has overtaken concealment, and why the same techniques now matter more for proving provenance than for hiding messages.

Speech Emotion Recognition: When Signal Processing Still Beats Deep Learning

July 25, 2024 No Comments

Emotion lives in prosody, datasets are small, and most are acted. Where wavelet-based features and compact classifiers still outperform end-to-end networks, and where they do not.