KEVIN ABOSCH (B. 1969) NOVEL ENCRYPTION #5
KEVIN ABOSCH (B. 1969)
NOVEL ENCRYPTION #5
smart contract: 0xB8E720cf1CcDf05DeE5c8C15A710E11Fd4b7a49A
token id: 5
wallet: 0x3cC435694547CC536106fD54fD11D88D2a85B611
PNG
28 x 28 pixels
Executed in 2015 and minted on 15 January 2025. This work is unique and accompanied by a non-fungible token.
Please note the buyer has the option to redeem a physical print directly from the artist.
Provenance
Minted by the artist, 2025
Literature
Kevin Abosch’s Novel Encryption are 6 GAN works created by Kevin Abosch in 2015 for the occasion of SIME Miami. Working with the MNIST dataset of handwritten digits as the starting point for a series of "novel encryptions" generated using a deep convolutional neural network (DCGAN) but stopping the training early, resulting in digits of varying decipherability. Each work presents a grid of four glyphs. Across the six works there are 24 glyphs which the artist uses as the foundation of a cipher alphabet.
“My father was in military intelligence and filled my mind with fantastic stories about cryptography. I use cryptographic glyphs as an entry point to a journey that travels well beyond the meaning of the underlying encrypted data.”
- Kevin Abosch
Technical notes: Each work is comprised of a grid of 4 outputs from the model. Each output was generated at 28x28 pixels creating a 56x56 pixels composite image which was further up-scaled to 256x256 pixels using “nearest neighbor” resizing. The color space of each work is sRGB and the file format is PNG.
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KEVIN ABOSCH (B. 1969)
NOVEL ENCRYPTION #5
smart contract: 0xB8E720cf1CcDf05DeE5c8C15A710E11Fd4b7a49A
token id: 5
wallet: 0x3cC435694547CC536106fD54fD11D88D2a85B611
PNG
28 x 28 pixels
Executed in 2015 and minted on 15 January 2025. This work is unique and accompanied by a non-fungible token.
Please note the buyer has the option to redeem a physical print directly from the artist.
Provenance
Minted by the artist, 2025
Literature
Kevin Abosch’s Novel Encryption are 6 GAN works created by Kevin Abosch in 2015 for the occasion of SIME Miami. Working with the MNIST dataset of handwritten digits as the starting point for a series of "novel encryptions" generated using a deep convolutional neural network (DCGAN) but stopping the training early, resulting in digits of varying decipherability. Each work presents a grid of four glyphs. Across the six works there are 24 glyphs which the artist uses as the foundation of a cipher alphabet.
“My father was in military intelligence and filled my mind with fantastic stories about cryptography. I use cryptographic glyphs as an entry point to a journey that travels well beyond the meaning of the underlying encrypted data.”
- Kevin Abosch
Technical notes: Each work is comprised of a grid of 4 outputs from the model. Each output was generated at 28x28 pixels creating a 56x56 pixels composite image which was further up-scaled to 256x256 pixels using “nearest neighbor” resizing. The color space of each work is sRGB and the file format is PNG.