Pith Number

pith:C3K3I4BL

pith:2020:C3K3I4BLDFPIUFWBEFUF6RMST6

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The DeepFake Detection Challenge (DFDC) Dataset

Ben Pflaum, Brian Dolhansky, Cristian Canton Ferrer, Jikuo Lu, Joanna Bitton, Menglin Wang, Russ Howes

A model trained only on the DFDC dataset detects deepfakes in real in-the-wild videos.

arxiv:2006.07397 v4 · 2020-06-12 · cs.CV · cs.LG

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3 Author claim open · sign in to claim

4 Citations open

5 Replications open

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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

a Deepfake detection model trained only on the DFDC can generalize to real 'in-the-wild' Deepfake videos, and such a model can be a valuable analysis tool when analyzing potentially Deepfaked videos.

C2weakest assumption

The face-swap methods and actor diversity in the dataset sufficiently represent the distribution of real-world deepfakes encountered outside the competition.

C3one line summary

The DFDC dataset is the largest public collection of face-swapped videos and supports detectors that generalize to in-the-wild deepfakes.

References

34 extracted · 34 resolved · 2 Pith anchors

[1] Quo vadis, action recognition? a new model and the kinetics dataset 2017

[2] Deepfakes: A loom- ing challenge for privacy, democracy, and national security 2019

[3] Xception: Deep learning with depthwise separable convolutions 2017

[4] https://github.com/ NTech-Lab/deepfake-detection-challenge

[5] The deepfake detection chal- lenge (DFDC) preview dataset 1910 · arXiv:1910.08854

Cited by

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What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations

Receipt and verification

First computed	2026-07-05T01:47:14.046325Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

16d5b4702b195e8a16c121685f45929fb80c67c2edfd6578f635045e0181528f

Aliases

arxiv: 2006.07397 · arxiv_version: 2006.07397v4 · doi: 10.48550/arxiv.2006.07397 · pith_short_12: C3K3I4BLDFPI · pith_short_16: C3K3I4BLDFPIUFWB · pith_short_8: C3K3I4BL

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/C3K3I4BLDFPIUFWBEFUF6RMST6 \
  | 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: 16d5b4702b195e8a16c121685f45929fb80c67c2edfd6578f635045e0181528f

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "805be560cf614013e9a6a5e23348cd8eba41ae2a0c794e3de508ada1ecc87553",
    "cross_cats_sorted": [
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2020-06-12T18:15:55Z",
    "title_canon_sha256": "9af6880dee01339603da62e58003412ce9dd84cff01e281793afeefc301d6cae"
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  "schema_version": "1.0",
  "source": {
    "id": "2006.07397",
    "kind": "arxiv",
    "version": 4
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}