Skip to content
conftrace_

backdoor attack

476 papers

BA

Papers

Backdoor Attack with Imperceptible Input and Latent Modification NeurIPS 2021 BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning IJCAI 2021 Backdoor Scanning for Deep Neural Networks through K-Arm Optimization ICML 2021 Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models NAACL 2021 BFClass: A Backdoor-free Text Classification Framework EMNLP 2021 Black-Box Detection of Backdoor Attacks With Limited Information and Data ICCV 2021 CLEAR: Clean-Up Sample-Targeted Backdoor in Neural Networks ICCV 2021 CRFL: Certifiably Robust Federated Learning against Backdoor Attacks ICML 2021 Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning AAAI 2021 Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification AAAI 2021 Defending against Backdoors in Federated Learning with Robust Learning Rate AAAI 2021 DeHiB: Deep Hidden Backdoor Attack on Semi-supervised Learning via Adversarial Perturbation AAAI 2021 Excess Capacity and Backdoor Poisoning NeurIPS 2021 Fooling a Complete Neural Network Verifier ICLR 2021 Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger ACL 2021 Invisible Backdoor Attack With Sample-Specific Triggers ICCV 2021 Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks ICML 2021 LIRA: Learnable, Imperceptible and Robust Backdoor Attacks ICCV 2021 Manipulating SGD with Data Ordering Attacks NeurIPS 2021 Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer EMNLP 2021 Mitigating Data Poisoning in Text Classification with Differential Privacy EMNLP 2021 Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks ICLR 2021 ONION: A Simple and Effective Defense Against Textual Backdoor Attacks EMNLP 2021 PointBA: Towards Backdoor Attacks in 3D Point Cloud ICCV 2021 Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes NeurIPS 2021