adversarial attack

Practical No-box Adversarial Attacks against DNNs NeurIPS 2020 Provably Robust Metric Learning NeurIPS 2020 QEBA: Query-Efficient Boundary-Based Blackbox Attack CVPR 2020 Query-efficient Meta Attack to Deep Neural Networks ICLR 2020 Randomization matters How to defend against strong adversarial attacks ICML 2020 Random Smoothing Might be Unable to Certify ℓ_∞ Robustness for High-Dimensional Images JMLR 2020 Reciprocal Learning Networks for Human Trajectory Prediction CVPR 2020 Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks ICML 2020 Robust Adversarial Objects against Deep Learning Models AAAI 2020 Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations NeurIPS 2020 Robust Design of Deep Neural Networks Against Adversarial Attacks Based on Lyapunov Theory CVPR 2020 Robust Facial Landmark Detection via Aggregation on Geometrically Manipulated Faces WACV 2020 Robustness for Non-Parametric Classification: A Generic Attack and Defense AISTATS 2020 Robustness of Autoencoders for Anomaly Detection Under Adversarial Impact IJCAI 2020 Robustness of Bayesian Neural Networks to Gradient-Based Attacks NeurIPS 2020 Robust Stochastic Bandit Algorithms under Probabilistic Unbounded Adversarial Attack AAAI 2020 Robust Superpixel-Guided Attentional Adversarial Attack CVPR 2020 SADA: Semantic Adversarial Diagnostic Attacks for Autonomous Applications AAAI 2020 Self-Robust 3D Point Recognition via Gather-Vector Guidance CVPR 2020 Sign Bits Are All You Need for Black-Box Attacks ICLR 2020 Sign-OPT: A Query-Efficient Hard-label Adversarial Attack ICLR 2020 Single-Step Adversarial Training With Dropout Scheduling CVPR 2020 Smoothed Geometry for Robust Attribution NeurIPS 2020 Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents AAAI 2020 Stabilizing Differentiable Architecture Search via Perturbation-based Regularization ICML 2020