backdoor attack

Computation and Data Efficient Backdoor Attacks ICCV 2023 Defending against Backdoor Attacks in Natural Language Generation AAAI 2023 Defending against Insertion-based Textual Backdoor Attacks via Attribution ACL 2023 Defending Against Patch-Based Backdoor Attacks on Self-Supervised Learning CVPR 2023 Defending Backdoor Attacks on Vision Transformer via Patch Processing AAAI 2023 Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks NeurIPS 2023 Distilling Cognitive Backdoor Patterns within an Image ICLR 2023 Django: Detecting Trojans in Object Detection Models via Gaussian Focus Calibration NeurIPS 2023 Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand NeurIPS 2023 Empirical Study of Federated Unlearning: Efficiency and Effectiveness ACML 2023 Fake the Real: Backdoor Attack on Deep Speech Classification via Voice Conversion Interspeech 2023 Fed-FA: Theoretically Modeling Client Data Divergence for Federated Language Backdoor Defense NeurIPS 2023 FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning NeurIPS 2023 Few-shot Backdoor Attacks via Neural Tangent Kernels ICLR 2023 FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning ICLR 2023 Graph Contrastive Backdoor Attacks ICML 2023 Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning Attacks NeurIPS 2023 How to Backdoor Diffusion Models? CVPR 2023 IBA: Towards Irreversible Backdoor Attacks in Federated Learning NeurIPS 2023 IMBERT: Making BERT Immune to Insertion-based Backdoor Attacks ACL 2023 Incompatibility Clustering as a Defense Against Backdoor Poisoning Attacks ICLR 2023 Label Poisoning is All You Need NeurIPS 2023 Large Language Models Are Better Adversaries: Exploring Generative Clean-Label Backdoor Attacks Against Text Classifiers EMNLP 2023 LeadFL: Client Self-Defense against Model Poisoning in Federated Learning ICML 2023 Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace Training NeurIPS 2023