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
Sources · 1
Research and catalogues
- 2026-10-23MIG-COW: Transferable Adversarial Attacks on Deepfake Detectors via Gradient DecompositionarXiv · arxiv.org/abs/2610.30914
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
- lane
- Research
- 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
Copy a brief
This record as a short Markdown brief, for a ticket, a chat or a coding agent.
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.
Related
- liveQ-Learning Fault Injection Attacks on Q-Learning: Analysis, Vulnerabilities, and Countermeasures
Research · since 13 Nov 2026
AI - liveHijacking a Trusted LLM in Quantized Deployments via Disguised Adapters
Research · since 13 Nov 2026
AI - liveQwen Stress-testing sandbagging detection under adaptive attack
Research · since 13 Nov 2026
AI - liveFake news articles change forecasts of LLM forecasting systems
Research · since 13 Nov 2026
AI - liveChatter Attack Resource Consumption Technique for Large Language Models
Research · since 10 Nov 2026
AI - liveLLMs Logit Laundering: Evading Data-Use Auditing in Large Language Models
Research · since 9 Nov 2026
AI