adversarial example

How Sampling Impacts the Robustness of Stochastic Neural Networks NeurIPS 2022 iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection AAAI 2022 Identifying Human Strategies for Generating Word-Level Adversarial Examples EMNLP 2022 Improved Text Classification via Contrastive Adversarial Training AAAI 2022 Improving Adversarially Robust Few-Shot Image Classification With Generalizable Representations CVPR 2022 Improving Adversarial Transferability via Neuron Attribution-Based Attacks CVPR 2022 Improving Certified Robustness via Statistical Learning with Logical Reasoning NeurIPS 2022 Improving the Transferability of Targeted Adversarial Examples Through Object-Based Diverse Input CVPR 2022 Improving Transferability of Adversarial Examples with Virtual Step and Auxiliary Gradients IJCAI 2022 Increasing Confidence in Adversarial Robustness Evaluations NeurIPS 2022 Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples NeurIPS 2022 InferES : A Natural Language Inference Corpus for Spanish Featuring Negation-Based Contrastive and Adversarial Examples COLING 2022 Infrared Invisible Clothing: Hiding From Infrared Detectors at Multiple Angles in Real World CVPR 2022 Isometric 3D Adversarial Examples in the Physical World NeurIPS 2022 LAS-AT: Adversarial Training With Learnable Attack Strategy CVPR 2022 Learning Invariant Representation Improves Robustness for MRC Models EMNLP 2022 Learning Universal Adversarial Perturbation by Adversarial Example AAAI 2022 Leveraging Adversarial Examples To Quantify Membership Information Leakage CVPR 2022 Making Adversarial Examples More Transferable and Indistinguishable AAAI 2022 MetaFinger: Fingerprinting the Deep Neural Networks with Meta-training IJCAI 2022 NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries? EMNLP 2022 Natural Black-Box Adversarial Examples against Deep Reinforcement Learning AAAI 2022 Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks NeurIPS 2022 On the Certified Robustness for Ensemble Models and Beyond ICLR 2022 On the Effectiveness of Small Input Noise for Defending Against Query-Based Black-Box Attacks WACV 2022