Preprocessing Failure and Adversarial Detection in Depthwise-Separable Edge Vision Systems

arXiv:2609.03453 · cs.CV, cs.CR · Submitted 2026-09-03 · Read on arXiv

cs.CV, cs.CR

Submitted: 2026-09-03

Updated: 2026-09-03

Terminology

• Robustness — 14× in this paper · explained in 5 episodes
• Accuracy — 6× in this paper · explained in 1 episode
• Adversarial Robustness — 6× in this paper · explained in 3 episodes
• Quantization — 5× in this paper · explained in 12 episodes
• Transferability — 5× in this paper · explained in 4 episodes
• Transformer — 5× in this paper · explained in 2 episodes
• Adversarial Attacks — 4× in this paper · explained in 1 episode
• Benchmark — 4× in this paper · explained in 2 episodes
• Fidelity — 4× in this paper · explained in 2 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Adversarial Examples — 2× in this paper · explained in 2 episodes
• Adversarial Training — 2× in this paper · explained in 1 episode
• Calibration — 2× in this paper · explained in 7 episodes
• Edge Deployment — 2× in this paper · explained in 2 episodes
• Model-Agnostic — 2× in this paper · explained in 2 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Formal Verification — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Over-smoothing — 1× in this paper · explained in 4 episodes
• Reconstruction Error — 1× in this paper · explained in 2 episodes
• University of New South Wales — 1× in this paper
• Verification — 1× in this paper · explained in 2 episodes

Sources

• A study of the effect of JPG compression on adversarial images
• On the Adversarial Robustness of Vision Transformers

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