adversarial defense

Model Stealing Defense against Exploiting Information Leak through the Interpretation of Deep Neural Nets IJCAI 2022 Not All Poisons are Created Equal: Robust Training against Data Poisoning ICML 2022 On Global-view Based Defense via Adversarial Attack and Defense Risk Guaranteed Bounds AISTATS 2022 On the Effectiveness of Small Input Noise for Defending Against Query-Based Black-Box Attacks WACV 2022 Perturbations in the Wild: Leveraging Human-Written Text Perturbations for Realistic Adversarial Attack and Defense ACL 2022 PlugAT: A Plug and Play Module to Defend against Textual Adversarial Attack COLING 2022 Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks AAAI 2022 Provable Defense against Backdoor Policies in Reinforcement Learning NeurIPS 2022 Random Normalization Aggregation for Adversarial Defense NeurIPS 2022 Recent improvements of ASR models in the face of adversarial attacks Interspeech 2022 Robust Heterogeneous Graph Neural Networks against Adversarial Attacks AAAI 2022 Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks With Implicit Gradients CVPR 2022 RoChBert: Towards Robust BERT Fine-tuning for Chinese EMNLP 2022 ROSE: Robust Selective Fine-tuning for Pre-trained Language Models EMNLP 2022 Segment and Complete: Defending Object Detectors Against Adversarial Patch Attacks With Robust Patch Detection CVPR 2022 SHIELD: Defending Textual Neural Networks against Multiple Black-Box Adversarial Attacks with Stochastic Multi-Expert Patcher ACL 2022 SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification AISTATS 2022 Towards Practical Certifiable Patch Defense With Vision Transformer CVPR 2022 Using Random Perturbations to Mitigate Adversarial Attacks on NLP Models AAAI 2022 When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture NeurIPS 2022 Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP EMNLP 2022 You Don’t Know My Favorite Color: Preventing Dialogue Representations from Revealing Speakers’ Private Personas NAACL 2022 Adversarial Attacks Are Reversible With Natural Supervision ICCV 2021 Adversarial Defence by Diversified Simultaneous Training of Deep Ensembles AAAI 2021 Adversarial Purification with Score-based Generative Models ICML 2021