Physical object security

A video summary of technologies developed by the SIP group for physical object security

FAMOS

S. Voloshynovskiy, M. Diephuis, F. Beekhof, O. Koval and B. Keel The first public optical PUF dataset for reproducible reserach The forensic authentication microstructure optical set (FAMOS) is a dataset with 5000 unique microstructures from consumer packages for the development, testing and benchmarking of forensic identification and authentication technologies. All samples have been acquired 3 times with two different cameras giving 30.000 images in total.

Clonability of anti-counterfeiting printable graphical codes: a machine learning approach

SCA Privacy-Preserving Identification: Fundamentals

Sparse Ternary Code (STC)

Key words: Approximate Nearest Neighbor search, content identification, binary hashing, coding gain, sparse representation

Image Restoration

Key words: iterative methods, POCs, robust estimation, sparsity Our research interests in inverse problems cover recovery from: highly distorted images that include blur and mixture noise originating from several distributions missed samples (non-uniform or sparse sampling) in both coordinate and Fourier domains quantized sparse sampling optimisation techniques suitable for high dimensional data machine-learning based methods

Image denoising

Key words: robust estimation, sparsity, edge process model Gaussian noise Misssed samples Robust estimators POCS

Face image compression

Key words: codebook learning, successive refinement, rate-distortion, polynomial complexity We study several schemes for multi-layer representation of images. The problem is first treated from an information-theoretic viewpoint where we analyze the behavior of different sources of information under a multi-layer data compression framework and compare it with a single-stage (shallow) structure. We then consider the image data as the source of information and link the proposed representation scheme to the problem of multi-layer dictionary learning for visual data. For the current work we focus on the problem of image compression for a special class of images where we report a considerable performance boost in terms of PSNR at high compression ratios in comparison with the JPEG2000 codec.

Sparse antenna arrays and radio interferometry imaging

Injecting Image Priors into Learnable Compressive Subsampling

Robust image restoration matched with Adaptive Aperture Formation in radar imaging systems with sparse antenna arrays

Adaptive aperture formation matched with radiometry image spatial spectrum

SKA machine learning perspectves for imaging, processing and analysis

Steganography and steganalysis

Key words: steganalysis, theoretical limits, moments, stegowall

Robust watermarking for copyright protection

Robust watermarking, Stirmark score, random banding attack, benchmarking

Text watermarking

Key words: text shape modulation, vector graphics, position modulation

Content fingerprinting

Key words: information-theoretic limits, performance, random projections, reliable bits, fast decoding

Classification by Re-generation: Towards Classification Based on Variational Inference

Face recognition

Key words: sparse coding, codebook learning, aggregation, Yale database

Defending against adversarial attacks by randomized diversification

Bridging machine learning and cryptography in defence against adversarial attacks

Object recognition on mobile phones

Robust descriptors

Database of real objects acquired by mobile phones

Ongoing project

Feature extraction for computer vision

Universal features, real images, text descriptors, random textures, quantization, compact descriptor

Text Extraction on Surface

Demo on: printed documents; books; pharmaceutical packages.

Text extraction and fingerprinting on phone

Demo on: pharmaceutical packages; licence plates; invoices and bills