backdoor attack

RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models EMNLP 2021 Rethinking Stealthiness of Backdoor Attack against NLP Models ACL 2021 Rethinking the Backdoor Attacks' Triggers: A Frequency Perspective ICCV 2021 SPECTRE: defending against backdoor attacks using robust statistics ICML 2021 Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits ICLR 2021 Turn the Combination Lock: Learnable Textual Backdoor Attacks via Word Substitution ACL 2021 WaNet - Imperceptible Warping-based Backdoor Attack ICLR 2021 Attack of the Tails: Yes, You Really Can Backdoor Federated Learning NeurIPS 2020 Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness ICLR 2020 Clean-Label Backdoor Attacks on Video Recognition Models CVPR 2020 DBA: Distributed Backdoor Attacks against Federated Learning ICLR 2020 Hidden Trigger Backdoor Attacks AAAI 2020 How To Backdoor Federated Learning AISTATS 2020 Input-Aware Dynamic Backdoor Attack NeurIPS 2020 On the Trade-off between Adversarial and Backdoor Robustness NeurIPS 2020 Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder EMNLP 2020 Radioactive data: tracing through training ICML 2020 Robust anomaly detection and backdoor attack detection via differential privacy ICLR 2020 TBT: Targeted Neural Network Attack With Bit Trojan CVPR 2020 Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs CVPR 2020 Weight Poisoning Attacks on Pretrained Models ACL 2020 A Little Is Enough: Circumventing Defenses For Distributed Learning NeurIPS 2019 DeepInspect: A Black-box Trojan Detection and Mitigation Framework for Deep Neural Networks IJCAI 2019 Defending Neural Backdoors via Generative Distribution Modeling NeurIPS 2019 Learning with Bad Training Data via Iterative Trimmed Loss Minimization ICML 2019