adversarial robustness

Hindering Adversarial Attacks with Implicit Neural Representations ICML 2022 How Does Frequency Bias Affect the Robustness of Neural Image Classifiers against Common Corruption and Adversarial Perturbations? IJCAI 2022 How Sampling Impacts the Robustness of Stochastic Neural Networks NeurIPS 2022 How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective ICLR 2022 If you’ve trained one you’ve trained them all: inter-architecture similarity increases with robustness UAI 2022 Imperceptible Backdoor Attack: From Input Space to Feature Representation IJCAI 2022 Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100 ICLR 2022 Improved Generalization Bounds for Adversarially Robust Learning JMLR 2022 Improved Gradient-Based Adversarial Attacks for Quantized Networks AAAI 2022 Improved techniques for deterministic l2 robustness NeurIPS 2022 Improving Adversarially Robust Few-Shot Image Classification With Generalizable Representations CVPR 2022 Improving Adversarial Robustness via Mutual Information Estimation ICML 2022 Improving Certified Robustness via Statistical Learning with Logical Reasoning NeurIPS 2022 Improving the Adversarial Robustness of NLP Models by Information Bottleneck ACL 2022 Increasing Confidence in Adversarial Robustness Evaluations NeurIPS 2022 Individual Fairness Guarantees for Neural Networks IJCAI 2022 Input-Specific Robustness Certification for Randomized Smoothing AAAI 2022 Invariance-Aware Randomized Smoothing Certificates NeurIPS 2022 Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings ACL 2022 Investigating Why Contrastive Learning Benefits Robustness against Label Noise ICML 2022 KATG: Keyword-Bias-Aware Adversarial Text Generation for Text Classification AAAI 2022 LCANets: Lateral Competition Improves Robustness Against Corruption and Attack ICML 2022 Learning Invariant Representation Improves Robustness for MRC Models EMNLP 2022 Lethal Dose Conjecture on Data Poisoning NeurIPS 2022 LOT: Layer-wise Orthogonal Training on Improving l2 Certified Robustness NeurIPS 2022