Scalable, Energy-Efficient Optical-Neural Architecture for Multiplexed Deepfake Video Detection

arXiv:2605.19360 · cs.CV, cs.LG, cs.NE, physics.app-ph, physics.optics · Submitted 2026-05-19 · Read on arXiv

cs.CV, cs.LG, cs.NE, physics.app-ph, physics.optics

Submitted: 2026-05-19

Updated: 2026-05-19

Comments: 30 Pages, 8 Figures

Journal ref: eLight (2026)

DOI: 10.1186/s43593-026-00143-y

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 47× in this paper · explained in 1 episode
• Adversarial Attacks — 12× in this paper · explained in 1 episode
• Robustness — 12× in this paper · explained in 5 episodes
• AUROC — 8× in this paper · explained in 2 episodes
• Verification — 8× in this paper · explained in 2 episodes
• Benchmark — 5× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 5× in this paper
• Ablation — 4× in this paper · explained in 1 episode
• Diffusion Model — 4× in this paper · explained in 8 episodes
• Diffusion Models — 4× in this paper · explained in 6 episodes
• Digital Twin — 4× in this paper · explained in 5 episodes
• Generalization — 4× in this paper · explained in 13 episodes
• Hybrid System — 4× in this paper · explained in 2 episodes
• Energy Efficiency — 3× in this paper · explained in 3 episodes
• Fine-Tuning — 3× in this paper · explained in 5 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Aperture — 2× in this paper · explained in 1 episode
• CVF International Conference on Computer Vision — 2× in this paper
• Generative Model — 2× in this paper · explained in 2 episodes
• Generative Models — 2× in this paper · explained in 2 episodes
• Hybrid Approach — 2× in this paper · explained in 4 episodes
• Projected Gradient Descent — 2× in this paper
• Transformer — 2× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Activation Function — 1× in this paper · explained in 1 episode
• Adversarial Examples — 1× in this paper · explained in 2 episodes
• Adversarial Robustness — 1× in this paper · explained in 3 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Latent Diffusion Model — 1× in this paper · explained in 2 episodes
• Latent Diffusion Models — 1× in this paper · explained in 2 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes

Sources

• Video models are zero-shot learners and reasoners
• Universal and Transferable Attacks on Pathology Foundation Models
• The DeepSpeak Dataset

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