2 papers
cs.CV2025
Removing Watermarks with Partial Regeneration using Semantic Information
Krti Tallam, John Kevin Cava, Caleb Geniesse +2
As AI-generated imagery becomes ubiquitous, invisible watermarks have emerged as a primary line of defense for copyright and provenance. The newest watermarking schemes embed seman…
cs.LG2024
LossLens: Diagnostics for Machine Learning through Loss Landscape Visual Analytics
Tiankai Xie, Jiaqing Chen, Yaoqing Yang +8
Modern machine learning often relies on optimizing a neural network's parameters using a loss function to learn complex features. Beyond training, examining the loss function with…