Adversarial Learning

Impact of Adversarial Training on Robustness and Generalizability of Language Models ACL 2023 Imperceptible Adversarial Attack via Invertible Neural Networks AAAI 2023 Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples ICML 2023 Improving Adversarial Transferability via Intermediate-level Perturbation Decay NeurIPS 2023 Improving l1-Certified Robustness via Randomized Smoothing by Leveraging Box Constraints ICML 2023 Improving Robust Fariness via Balance Adversarial Training AAAI 2023 Improving Robustness of Vision Transformers by Reducing Sensitivity To Patch Corruptions CVPR 2023 Improving the Robustness of Summarization Systems with Dual Augmentation ACL 2023 Improving the Transferability of Adversarial Samples by Path-Augmented Method CVPR 2023 Improving Visual Representation Learning Through Perceptual Understanding CVPR 2023 In and Out-of-Domain Text Adversarial Robustness via Label Smoothing ACL 2023 INTapt: Information-Theoretic Adversarial Prompt Tuning for Enhanced Non-Native Speech Recognition ACL 2023 Introducing Competition To Boost the Transferability of Targeted Adversarial Examples Through Clean Feature Mixup CVPR 2023 Invariant Representations with Stochastically Quantized Neural Networks AAAI 2023 Is Robustness Transferable across Languages in Multilingual Neural Machine Translation? EMNLP 2023 Jedi: Entropy-Based Localization and Removal of Adversarial Patches CVPR 2023 Large Language Models Are Better Adversaries: Exploring Generative Clean-Label Backdoor Attacks Against Text Classifiers EMNLP 2023 Learning Adversarially Robust Sparse Networks via Weight Reparameterization AAAI 2023 Learning Polysemantic Spoof Trace: A Multi-Modal Disentanglement Network for Face Anti-spoofing AAAI 2023 Learning Robust Graph Neural Networks with Limited Supervision AISTATS 2023 Learning With Noisy Labels via Self-Supervised Adversarial Noisy Masking CVPR 2023 Leveraging Contaminated Datasets to Learn Clean-Data Distribution with Purified Generative Adversarial Networks AAAI 2023 Lifelong Variational Autoencoder via Online Adversarial Expansion Strategy AAAI 2023 Local-Global Defense against Unsupervised Adversarial Attacks on Graphs AAAI 2023 LogicAttack: Adversarial Attacks for Evaluating Logical Consistency of Natural Language Inference EMNLP 2023