input transformation

Quantifying and Improving Adaptivity in Conformal Prediction Through Input Transformations AAAI 2026 Boosting Adversarial Transferability through Augmentation in Hypothesis Space CVPR 2025 Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing IJCNLP 2025 Leveraging Spatial Invariance to Boost Adversarial Transferability ICCV 2025 REFINE: Inversion-Free Backdoor Defense via Model Reprogramming ICLR 2025 reWordBench: Benchmarking and Improving the Robustness of Reward Models with Transformed Inputs EMNLP 2025 Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping AAAI 2024 Boosting Adversarial Transferability by Block Shuffle and Rotation CVPR 2024 Learning to Transform Dynamically for Better Adversarial Transferability CVPR 2024 Equivariant Adaptation of Large Pretrained Models NeurIPS 2023 Structure Invariant Transformation for better Adversarial Transferability ICCV 2023 Hindering Adversarial Attacks with Implicit Neural Representations ICML 2022 Admix: Enhancing the Transferability of Adversarial Attacks ICCV 2021 Self-supervised Label Augmentation via Input Transformations ICML 2020 Adversarial Reprogramming of Text Classification Neural Networks EMNLP 2019 Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples CVPR 2019 Generalization Error of Invariant Classifiers AISTATS 2017