adversarial robustness

Improving Adversarial Robustness to Sensitivity and Invariance Attacks with Deep Metric Learning (Student Abstract) AAAI 2023 Improving Adversarial Robustness via Information Bottleneck Distillation NeurIPS 2023 Improving Adversarial Robustness via Joint Classification and Multiple Explicit Detection Classes AISTATS 2023 Improving Adversarial Robustness with Self-Paced Hard-Class Pair Reweighting AAAI 2023 Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning ICCV 2023 Improving l1-Certified Robustness via Randomized Smoothing by Leveraging Box Constraints ICML 2023 Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization CVPR 2023 Improving Robustness with Adaptive Weight Decay NeurIPS 2023 In and Out-of-Domain Text Adversarial Robustness via Label Smoothing ACL 2023 InstructSafety: A Unified Framework for Building Multidimensional and Explainable Safety Detector through Instruction Tuning EMNLP 2023 Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency NeurIPS 2023 Learning Adversarially Robust Sparse Networks via Weight Reparameterization AAAI 2023 Learning Provably Robust Estimators for Inverse Problems via Jittering NeurIPS 2023 Learning Robust Graph Neural Networks with Limited Supervision AISTATS 2023 Learning to Abstract with Nonparametric Variational Information Bottleneck EMNLP 2023 LeNo: Adversarial Robust Salient Object Detection Networks with Learnable Noise AAAI 2023 Maestro: A Gamified Platform for Teaching AI Robustness AAAI 2023 [MASK] Insertion: a robust method for anti-adversarial attacks EACL 2023 Maximization of Average Precision for Deep Learning with Adversarial Ranking Robustness NeurIPS 2023 Memorization Weights for Instance Reweighting in Adversarial Training AAAI 2023 Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine Learning ICCV 2023 Model-tuning Via Prompts Makes NLP Models Adversarially Robust EMNLP 2023 Multi-Metrics Adaptively Identifies Backdoors in Federated Learning ICCV 2023 MultiRobustBench: Benchmarking Robustness Against Multiple Attacks ICML 2023 Multi-scale Diffusion Denoised Smoothing NeurIPS 2023