adversarial robustness

Robust Contrastive Language-Image Pretraining against Data Poisoning and Backdoor Attacks NeurIPS 2023 RobustEmbed: Robust Sentence Embeddings Using Self-Supervised Contrastive Pre-Training EMNLP 2023 Robust Evaluation of Diffusion-Based Adversarial Purification ICCV 2023 Robust Explanation Constraints for Neural Networks ICLR 2023 Robust Linear Regression for General Feature Distribution AISTATS 2023 Robust Linear Regression: Gradient-descent, Early-stopping, and Beyond AISTATS 2023 Robust Load Balancing with Machine Learned Advice JMLR 2023 Robust low-rank training via approximate orthonormal constraints NeurIPS 2023 Robust Mixture-of-Expert Training for Convolutional Neural Networks ICCV 2023 Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks ICML 2023 Robust Perception through Equivariance ICML 2023 Robust Single Image Reflection Removal Against Adversarial Attacks CVPR 2023 RobuT: A Systematic Study of Table QA Robustness Against Human-Annotated Adversarial Perturbations ACL 2023 RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion NeurIPS 2023 Sample Attackability in Natural Language Adversarial Attacks ACL 2023 Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts CVPR 2023 Shift from Texture-bias to Shape-bias: Edge Deformation-based Augmentation for Robust Object Recognition ICCV 2023 Spatial-frequency channels, shape bias, and adversarial robustness NeurIPS 2023 Squeeze Training for Adversarial Robustness ICLR 2023 SRoUDA: Meta Self-Training for Robust Unsupervised Domain Adaptation AAAI 2023 Stratified Adversarial Robustness with Rejection ICML 2023 TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization ICLR 2023 TextVerifier: Robustness Verification for Textual Classifiers with Certifiable Guarantees ACL 2023 The Double-Edged Sword of Implicit Bias: Generalization vs. Robustness in ReLU Networks NeurIPS 2023 Theoretically Grounded Loss Functions and Algorithms for Adversarial Robustness AISTATS 2023