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Linearizing Models for Efficient yet Robust Private Inference
Our experimental evaluations show that RLNet can yield models with up to 11. 14x fewer ReLUs, with accuracy close to the all-ReLU models, on clean, naturally perturbed, and gradient-based perturbed images.
FixPix: Fixing Bad Pixels using Deep Learning
Efficient and effective on-line detection and correction of bad pixels can improve yield and increase the expected lifetime of image sensors.
Technology-Circuit-Algorithm Tri-Design for Processing-in-Pixel-in-Memory (P2M)
The massive amounts of data generated by camera sensors motivate data processing inside pixel arrays, i. e., at the extreme-edge.
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