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cs.LG2023
Not So Robust After All: Evaluating the Robustness of Deep Neural Networks to Unseen Adversarial Attacks
Roman Garaev, Bader Rasheed, Adil Khan
Deep neural networks (DNNs) have gained prominence in various applications, such as classification, recognition, and prediction, prompting increased scrutiny of their properties. A…
cs.CV2023
Exploring Semantic Variations in GAN Latent Spaces via Matrix Factorization
Andrey Palaev, Rustam A. Lukmanov, Adil Khan
Controlled data generation with GANs is desirable but challenging due to the nonlinearity and high dimensionality of their latent spaces. In this work, we explore image manipulatio…