PGD²-GSM is the first method to stably achieve high-resolution global semantic manipulation in learned image compression via a Periodic Geometric Decay schedule that handles Lazying-Oscillating-Refining attack stages.
Varia- tional image compression with a scale hyperprior
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ROI coding enables backdoor triggers to survive lossy compression by embedding malicious information into binary bitstreams via sample-specific or customized masks for both learned and traditional codecs.
BADiff introduces joint training of diffusion models with quality conditioning derived from bandwidth to enable adaptive early-stop sampling that preserves appropriate perceptual quality.
citing papers explorer
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Control Your View: High-Resolution Global Semantic Manipulation in Learned Image Compression
PGD²-GSM is the first method to stably achieve high-resolution global semantic manipulation in learned image compression via a Periodic Geometric Decay schedule that handles Lazying-Oscillating-Refining attack stages.
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Inevitable Encounters: Backdoor Attacks Involving Lossy Compression
ROI coding enables backdoor triggers to survive lossy compression by embedding malicious information into binary bitstreams via sample-specific or customized masks for both learned and traditional codecs.
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BADiff: Bandwidth Adaptive Diffusion Model
BADiff introduces joint training of diffusion models with quality conditioning derived from bandwidth to enable adaptive early-stop sampling that preserves appropriate perceptual quality.