adversarial attack

LIRA: Learnable, Imperceptible and Robust Backdoor Attacks ICCV 2021 Local Aggressive Adversarial Attacks on 3D Point Cloud ACML 2021 LowKey: Leveraging Adversarial Attacks to Protect Social Media Users from Facial Recognition ICLR 2021 MagDR: Mask-Guided Detection and Reconstruction for Defending Deepfakes CVPR 2021 Making Paper Reviewing Robust to Bid Manipulation Attacks ICML 2021 Manipulating SGD with Data Ordering Attacks NeurIPS 2021 Membership Inference Attacks Are Easier on Difficult Problems ICCV 2021 Meta Gradient Adversarial Attack ICCV 2021 Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks NeurIPS 2021 Mind the Box: l_1-APGD for Sparse Adversarial Attacks on Image Classifiers ICML 2021 Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer EMNLP 2021 Minimal Adversarial Examples for Deep Learning on 3D Point Clouds ICCV 2021 Model Extraction and Adversarial Transferability, Your BERT is Vulnerable! NAACL 2021 Model-Targeted Poisoning Attacks with Provable Convergence ICML 2021 Morié Attack (MA): A New Potential Risk of Screen Photos NeurIPS 2021 Neural Tangent Generalization Attacks ICML 2021 Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks AISTATS 2021 Not All Low-Pass Filters are Robust in Graph Convolutional Networks NeurIPS 2021 Observation-Free Attacks on Stochastic Bandits NeurIPS 2021 On Success and Simplicity: A Second Look at Transferable Targeted Attacks NeurIPS 2021 On the Convergence of Prior-Guided Zeroth-Order Optimization Algorithms NeurIPS 2021 On the Hardness of Robust Classification JMLR 2021 On the Robustness of Vision Transformers to Adversarial Examples ICCV 2021 On the Transferability of Adversarial Attacks against Neural Text Classifier EMNLP 2021 Over-the-Air Adversarial Flickering Attacks Against Video Recognition Networks CVPR 2021