Adversarial Learning

Revisiting Injective Attacks on Recommender Systems NeurIPS 2022 Revisiting Sparse Convolutional Model for Visual Recognition NeurIPS 2022 Robust Bayesian Regression via Hard Thresholding NeurIPS 2022 Robust Binary Models by Pruning Randomly-initialized Networks NeurIPS 2022 Robust Combination of Distributed Gradients Under Adversarial Perturbations CVPR 2022 Robust Conversational Agents against Imperceptible Toxicity Triggers NAACL 2022 Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum ICML 2022 Robust Feature-Level Adversaries are Interpretability Tools NeurIPS 2022 Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances IJCAI 2022 Robust Hate Speech Detection via Mitigating Spurious Correlations AACL 2022 Robust Heterogeneous Graph Neural Networks against Adversarial Attacks AAAI 2022 Robust Learning against Relational Adversaries NeurIPS 2022 Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness? ICLR 2022 Robust Lottery Tickets for Pre-trained Language Models ACL 2022 Robustly-reliable learners under poisoning attacks COLT 2022 Robust Models are less Over-Confident NeurIPS 2022 Robustness and Accuracy Could Be Reconcilable by (Proper) Definition ICML 2022 Robustness Evaluation of Text Classification Models Using Mathematical Optimization and Its Application to Adversarial Training AACL 2022 Robustness Verification for Contrastive Learning ICML 2022 Robust Optimal Classification Trees against Adversarial Examples AAAI 2022 Robust Optimization As Data Augmentation for Large-Scale Graphs CVPR 2022 Robust Policy Learning over Multiple Uncertainty Sets ICML 2022 Robust Stochastic Linear Contextual Bandits Under Adversarial Attacks AISTATS 2022 Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks With Implicit Gradients CVPR 2022 Robust Task-Oriented Dialogue Generation with Contrastive Pre-training and Adversarial Filtering EMNLP 2022