adversarial robustness

Phase-aware Adversarial Defense for Improving Adversarial Robustness ICML 2023 Phase-shifted adversarial training UAI 2023 PointCert: Point Cloud Classification With Deterministic Certified Robustness Guarantees CVPR 2023 Privacy-Preserving Face Recognition Using Random Frequency Components ICCV 2023 Probabilistically robust conformal prediction UAI 2023 Prompt Tuning for Unified Multimodal Pretrained Models ACL 2023 Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More NeurIPS 2023 Provable Robustness against Wasserstein Distribution Shifts via Input Randomization ICLR 2023 Provably Bounding Neural Network Preimages NeurIPS 2023 PWSHAP: A Path-Wise Explanation Model for Targeted Variables ICML 2023 Quantization-Aware Interval Bound Propagation for Training Certifiably Robust Quantized Neural Networks AAAI 2023 Randomized Adversarial Training via Taylor Expansion CVPR 2023 Randomized Smoothing with Masked Inference for Adversarially Robust Text Classifications ACL 2023 Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks CVPR 2023 Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality ICML 2023 Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement ICCV 2023 Reliable Robustness Evaluation via Automatically Constructed Attack Ensembles AAAI 2023 Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning ICLR 2023 Revisiting Adversarial Robustness Distillation from the Perspective of Robust Fairness NeurIPS 2023 Revisiting Residual Networks for Adversarial Robustness CVPR 2023 Revisiting Robustness in Graph Machine Learning ICLR 2023 Revisiting Visual Model Robustness: A Frequency Long-Tailed Distribution View NeurIPS 2023 RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training EMNLP 2023 Robust and Actively Secure Serverless Collaborative Learning NeurIPS 2023 Robust and private stochastic linear bandits ICML 2023