Phantomware: a Data Augmentation Framework for the Detection of Emerging Malware Campaigns
Phantomware augments scarce malware training data in latent space to detect unseen variants.
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Stories tagged #data-augmentation
End-to-End Multimodal Data Augmentation and Adversarial Robustness Benchmark with AugLy for Images, Text, Audio, and PyTorch
A tutorial shows AugLy augmentations and small robustness tests for image, text, and audio in PyTorch.
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AdaptVPR: Route-Aware Hard Positive Generation for Robust Visual Place Recognition
AdaptVPR generates route-aware synthetic hard positives for visual place recognition, releasing the 160K-image AdaptCities dataset with R@1 gains up to 9.2% under domain shift.