3 accepted papers
We introduce Hybrid Convolutions with Attention Stochasticity (HyCAS), an adversarial defense that narrows the long-standing gap between provable robustness under ℓ2 certificates and empirical robustness against strong ℓ∞ attacks, while preserving strong generalization across diverse imaging benchma…
We introduce Hybrid Space-aware Stochastic Convolution Attention Noise (HySCAN), a hybrid randomized defense that helps close the long-standing gap between provable robustness under ℓ2 certificates and empirical robustness against strong ℓ∞ attacks, while maintaining strong generalization across div…
Multi-label image classification is a significant challenge in computer vision due to the presence of multiple interconnected objects in a single image. Traditional convolutional neural networks (CNN) often fail to capture semantic dependencies between labels, limiting performance in complex scenes.…