Search Results for author:
Found 4 papers, 1 papers with code
Revisiting character-level adversarial attacks
Adversarial attacks in Natural Language Processing apply perturbations in the character or token levels.
Robust NAS under adversarial training: benchmark, theory, and beyond
Recent developments in neural architecture search (NAS) emphasize the significance of considering robust architectures against malicious data.
Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study
Neural tangent kernel (NTK) is a powerful tool to analyze training dynamics of neural networks and their generalization bounds.
Adversarial Audio Synthesis with Complex-valued Polynomial Networks
Our models can encourage the systematic design of other efficient architectures on the complex field.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
