adversarial machine learning

GNP ATTACK: TRANSFERABLE ADVERSARIAL EXAMPLES VIA GRADIENT NORM PENALTY

Measuring the Transferability of L-infty Attacks by the L-2 Norm

QTrojan: A Circuit Backdoor Against Quantum Neural Networks

SC-NET: SALIENT POINT AND CURVATURE BASED ADVERSARIAL POINT CLOUD GENERATION NETWORK

Enhance Transferability of Adversarial Examples with Model Architecture

A Game of Snakes and GANs

Towards Adversarially Robust Continual Learning

ICStega: Image Captioning-based Semantically Controllable Linguistic Steganography

On Adversarial Robustness of Audio Classifiers

AN EMPIRICAL STUDY OF BACKDOOR ATTACKS ON MASKED AUTOENCODERS

SafeDeep: A Scalable Robustness Verification Framework for Deep Neural Networks

Speech Privacy Leakage from Shared Gradients in Distributed Learning