backdoor attack

Pass off Fish Eyes for Pearls: Attacking Model Selection of Pre-trained Models ACL 2022 Poisoning and Backdooring Contrastive Learning ICLR 2022 Post-Training Detection of Backdoor Attacks for Two-Class and Multi-Attack Scenarios ICLR 2022 PPT: Backdoor Attacks on Pre-trained Models via Poisoned Prompt Tuning IJCAI 2022 Pre-activation Distributions Expose Backdoor Neurons NeurIPS 2022 Provable Defense against Backdoor Policies in Reinforcement Learning NeurIPS 2022 Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free CVPR 2022 Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection without Clean Datasets NeurIPS 2022 Rethinking the Reverse-engineering of Trojan Triggers NeurIPS 2022 Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch NeurIPS 2022 Textual Backdoor Attacks Can Be More Harmful via Two Simple Tricks EMNLP 2022 Towards Class-Oriented Poisoning Attacks Against Neural Networks WACV 2022 Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks CVPR 2022 Training with More Confidence: Mitigating Injected and Natural Backdoors During Training NeurIPS 2022 Trigger Hunting with a Topological Prior for Trojan Detection ICLR 2022 Triggerless Backdoor Attack for NLP Tasks with Clean Labels NAACL 2022 Universal Evasion Attacks on Summarization Scoring EMNLP 2022 Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection NeurIPS 2022 Where to Attack: A Dynamic Locator Model for Backdoor Attack in Text Classifications COLING 2022 A Backdoor Attack Against 3D Point Cloud Classifiers ICCV 2021 Accumulative Poisoning Attacks on Real-time Data NeurIPS 2021 Adversarial Neuron Pruning Purifies Backdoored Deep Models NeurIPS 2021 Anti-Backdoor Learning: Training Clean Models on Poisoned Data NeurIPS 2021 Backdoor Attacks Against Deep Learning Systems in the Physical World CVPR 2021 Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning EMNLP 2021