Paper reports over 90% success against six slide puzzle CAPTCHAs
YOLOv11 notch detection and GAN-generated trajectories broke the tested CAPTCHAs in about five seconds in the authors' experiments.
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Stories tagged #gan
Mal-AAEGAN generates adversarial malware in a continuous latent space
It matches or beats three binary-space GAN baselines against eight detectors on two API-feature datasets.
Stochastic World Models for Verifying Vision-Based Neural Feedback Systems
Researchers verify vision-based neural controllers using compact stochastic world models that outperform much larger GAN surrogates.
SAGEGAN: Style-Based Anomaly Detection with Gaussian Embeddings using Generative Adversarial Networks
SAGEGAN detects malware by reconstructing portable-executable images with GANs trained only on benign files.
Generating Heterogeneous 3D Geological Microstructures from 2D Images via a Stable Diffusion-Adversarial Model
A hybrid diffusion-adversarial model generates heterogeneous 3D geological microstructures from cheap 2D images, replacing denoising loss with adversarial loss for stable training.
A GAN-Based Framework for Robust DDoS Attack Detection
WGAN-GP-generated adversarial DDoS traffic augments training data, improving detection resilience against evasion attempts.
A Deep Generative Model for Synthesizing Labeled Wireless Signals
Researchers propose IIns-GAN, a GAN that synthesizes realistic labeled ultra-wideband wireless signals, cutting dataset costs for wireless sensing training.