adversarial example

Towards Efficient Data Free Black-Box Adversarial Attack CVPR 2022 Towards Lightweight Black-Box Attack Against Deep Neural Networks NeurIPS 2022 Towards Practical Certifiable Patch Defense With Vision Transformer CVPR 2022 Towards Stronger Adversarial Baselines Through Human-AI Collaboration ACL 2022 Transferable Adversarial Attack based on Integrated Gradients ICLR 2022 Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart CVPR 2022 Understanding Intrinsic Robustness Using Label Uncertainty ICLR 2022 Understanding Robust Learning through the Lens of Representation Similarities NeurIPS 2022 Unobserved Local Structures Make Compositional Generalization Hard EMNLP 2022 Vision Transformers Are Robust Learners AAAI 2022 What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness? NeurIPS 2022 When AI Difficulty Is Easy: The Explanatory Power of Predicting IRT Difficulty AAAI 2022 Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power NeurIPS 2022 With False Friends Like These, Who Can Notice Mistakes? AAAI 2022 Your Out-of-Distribution Detection Method is Not Robust! NeurIPS 2022 A Bayes-Optimal View on Adversarial Examples JMLR 2021 A Context Aware Approach for Generating Natural Language Attacks AAAI 2021 Admix: Enhancing the Transferability of Adversarial Attacks ICCV 2021 AdvDrop: Adversarial Attack to DNNs by Dropping Information ICCV 2021 Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples WACV 2021 Adversarial Examples for k-Nearest Neighbor Classifiers Based on Higher-Order Voronoi Diagrams NeurIPS 2021 Adversarial Examples in Multi-Layer Random ReLU Networks NeurIPS 2021 Adversarial Examples in Physical World IJCAI 2021 Adversarial Examples Make Strong Poisons NeurIPS 2021 Adversarially Robust Learning with Unknown Perturbation Sets COLT 2021