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Prosecutors seeking to demonstrate that (AIG‑CSAM) is "virtually indistinguishable" from real CSAM rely on a combination of published technical reports, frontline analyst testimony about visual indist...
Digital forensics uses multiple, converging techniques—file hashing and fuzzy hashing, on-device/client-side matching, artifact timeline and metadata analysis, cloud-account vouchers and reporting, an...
Current and perceptual/hash‑matching tools form complementary lines of defense: hashing reliably identifies previously documented with very low false positives but fails on “new” or synthetically gene...
Forensic examiners authenticate whether suspected child sexual abuse material (CSAM) is of a real child or AI-generated by combining technical image provenance tools (hashing, artifact detection, meta...
Forensic teams use a mix of image-authentication algorithms, metadata and provenance checks, hash-matching, facial-similarity tools and human-led investigative context to try to attribute or debunk AI...