Adversarial Learning

IMBERT: Making BERT Immune to Insertion-based Backdoor Attacks ACL 2023 Impact of Adversarial Training on Robustness and Generalizability of Language Models ACL 2023 Imperceptible Adversarial Attack via Invertible Neural Networks AAAI 2023 IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI NeurIPS 2023 Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples ICML 2023 Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural Dynamics ICML 2023 Improving Adversarial Transferability via Intermediate-level Perturbation Decay NeurIPS 2023 Improving the Transferability of Adversarial Samples by Path-Augmented Method CVPR 2023 Introducing Competition To Boost the Transferability of Targeted Adversarial Examples Through Clean Feature Mixup CVPR 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 Polysemantic Spoof Trace: A Multi-Modal Disentanglement Network for Face Anti-spoofing AAAI 2023 Let Graph Be the Go Board: Gradient-Free Node Injection Attack for Graph Neural Networks via Reinforcement Learning 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 Make Text Unlearnable: Exploiting Effective Patterns to Protect Personal Data ACL 2023 Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples ICLR 2023 Memorization Weights for Instance Reweighting in Adversarial Training AAAI 2023 Mitigating Adversarial Norm Training with Moral Axioms AAAI 2023 Mitigating Backdoor Poisoning Attacks through the Lens of Spurious Correlation EMNLP 2023 Modeling Adversarial Attack on Pre-trained Language Models as Sequential Decision Making ACL 2023 Model-tuning Via Prompts Makes NLP Models Adversarially Robust EMNLP 2023 Multispectral Invisible Coating: Laminated Visible-Thermal Physical Attack against Multispectral Object Detectors Using Transparent Low-E Films AAAI 2023 NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations ICML 2023 Neural Architecture Search for Wide Spectrum Adversarial Robustness AAAI 2023