How Effective Are Publicly Accessible Deepfake Detection Tools? A Comparative Evaluation of Open-Source and Free-to-Use Platforms
arXiv 2603.04456•f7e090076ca73727351935a63ad423dc82026db2621f5935586d6679fb53e312
5G-securityEM-backscatteringUAV-securityagentic-systemsbenchmark-qualitydataset-distillationdeepfake-detectiondiffusion-modelshardware-side-channelhomomorphic-encryptionmachine-learning-securitymodel-hijackingpost-quantum-cryptoprivacy-flowwatermarking
Paper metadata
- arXiv ID
- 2603.04456
- Version
- Not specified by this published record
- Category
- Computer Science — Cryptography and Security (cs.CR)
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Evidence and limitations
- Source ID
- arxiv_cs_cr
- Record identifier
- f7e090076ca73727351935a63ad423dc82026db2621f5935586d6679fb53e312
- Enrichment time
- 2026-03-06T07:23:34Z
- AI-assisted enrichment
- Yes
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