gcdRadar
archive/Research/AIR-2026-1473
closedclosed 6 Nov 2026Research1 Research / proof of conceptAI

MIG-COW: Transferable Adversarial Attacks on Deepfake Detectors

MIG-COW

Researchers propose MIG-COW, an adversarial attack framework generating imperceptible inputs to bypass heterogeneous deepfake detectors. The method achieves high white-box attack success rates across various CNN and ViT models.

first report
23 Oct 2026
last update
23 Oct 2026

Timeline · 1

  1. 23 Oct 2026MIG-COW: Transferable Adversarial Attacks on Deepfake Detectors via Gradient Decomposition

Sources · 1

Research and catalogues

  1. 2026-10-23

Titles and links belong to their publishers. The summary above is written by gcdRadar in its own words; data is CC BY-SA 4.0.

Classification

AI role
Attack on AI
categories
Adversarial evasion
severity
1 · Research / proof of concept
targets
Open-weight model
owasp llm top 10
no entry for these categories
dates
happened 23 Oct 2026 · first reported 23 Oct 2026
origin
News & research feeds
record
confidence 0.95 · created 2026-10-23 05:05Z · updated 2026-11-07 02:05Z

Lane, AI role, categories and severity come from the classifier; the OWASP and ATLAS rows are derived from the categories. How these are assigned

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the brief as text
# MIG-COW: Transferable Adversarial Attacks on Deepfake Detectors

https://gcdradar.vercel.app/incidents/mig-cow-transferable-adversarial-attacks-on-deepfake-detecto · AIR-2026-1473 · closed 2026-11-06

- Lane: Research
- Severity: 1 (Research / proof of concept)
- Fix status: Fix status unknown
- First reported: 2026-10-23
- AI role: Attack on AI
- Products: MIG-COW

## Summary

Researchers propose MIG-COW, an adversarial attack framework generating imperceptible inputs to bypass heterogeneous deepfake detectors. The method achieves high white-box attack success rates across various CNN and ViT models.

## What to do

No action recorded; read the sources below and the vendor's advisory.

## Latest updates

- 2026-10-23: MIG-COW: Transferable Adversarial Attacks on Deepfake Detectors via Gradient Decomposition (https://arxiv.org/abs/2610.30914)

## Sources

- 2026-10-23 arXiv: MIG-COW: Transferable Adversarial Attacks on Deepfake Detectors via Gradient Decomposition https://arxiv.org/abs/2610.30914

Verify against the vendor's advisory before changing production. Data CC BY-SA 4.0, https://gcdradar.vercel.app.

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