pith:FI2SAV6A
RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations
The RADAR Challenge shows audio deepfake detectors still fail under common media changes and multiple languages.
arxiv:2605.09568 v2 · 2026-05-10 · eess.AS
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Record completeness
Claims
The reported results highlight the remaining challenges of robust audio deepfake detection under multilingual and media-transformed conditions.
The constructed dataset and chosen media transformations accurately represent the distortions that occur in real-world audio distribution pipelines.
The RADAR Challenge 2026 provides a multilingual benchmark for audio deepfake detection under media transformations and finds that robust performance remains an open problem.
Formal links
Receipt and verification
| First computed | 2026-05-20T00:03:16.555926Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2a352057c003fcedfc399e44c0a621ad0b9b4acd4d7ecf370ecb0e59dcd126a7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FI2SAV6AAP6O37BZTZCMBJRBVU \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 2a352057c003fcedfc399e44c0a621ad0b9b4acd4d7ecf370ecb0e59dcd126a7
Canonical record JSON
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