adversarial example

DifAttack: Query-Efficient Black-Box Adversarial Attack via Disentangled Feature Space AAAI 2024 DiffAM: Diffusion-based Adversarial Makeup Transfer for Facial Privacy Protection CVPR 2024 DistriBlock: Identifying adversarial audio samples by leveraging characteristics of the output distribution UAI 2024 Ensemble Diversity Facilitates Adversarial Transferability CVPR 2024 Et Tu Certifications: Robustness Certificates Yield Better Adversarial Examples ICML 2024 Exploiting Class Probabilities for Black-box Sentence-level Attacks EACL 2024 FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks AAAI 2024 Faster Repeated Evasion Attacks in Tree Ensembles NeurIPS 2024 Few-Shot Adversarial Prompt Learning on Vision-Language Models NeurIPS 2024 GaLileo: General Linear Relaxation Framework for Tightening Robustness Certification of Transformers AAAI 2024 Getting Serious about Humor: Crafting Humor Datasets with Unfunny Large Language Models ACL 2024 HANS, are you clever? Clever Hans Effect Analysis of Neural Systems NAACL 2024 How Does Unlabeled Data Provably Help Out-of-Distribution Detection? ICLR 2024 Improved Generation of Adversarial Examples Against Safety-aligned LLMs NeurIPS 2024 Improving Robustness of 3D Point Cloud Recognition from a Fourier Perspective NeurIPS 2024 Know Thine Enemy: Adaptive Attacks on Misinformation Detection Using Reinforcement Learning ACL 2024 Learning to Transform Dynamically for Better Adversarial Transferability CVPR 2024 Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers AAAI 2024 LimeAttack: Local Explainable Method for Textual Hard-Label Adversarial Attack AAAI 2024 LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate AAAI 2024 MALT Powers Up Adversarial Attacks NeurIPS 2024 Non-vacuous Generalization Bounds for Adversarial Risk in Stochastic Neural Networks AISTATS 2024 On Adversarial Training without Perturbing all Examples ICLR 2024 One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models CVPR 2024 Pointing Out the Shortcomings of Relation Extraction Models with Semantically Motivated Adversarials COLING 2024