MALICE: Manipulation Attacks on Learned Image ComprEssion. (arXiv:2205.13253v2 [cs.CV] UPDATED)

Deep learning techniques have shown promising results in image compression,
with competitive bitrate and image reconstruction quality from compressed
latent. However, while image compression has progressed towards a higher peak
signal-to-noise ratio (PSNR) and fewer bits per pixel (bpp), their robustness
to adversarial images has never received deliberation. In this work, we, for
the first time, investigate the robustness of image compression systems where
imperceptible perturbation of input images can precipitate a significant
increase in the bitrate of their compressed …

attacks compression malice manipulation