backdoor detection

Task-Agnostic Detector for Insertion-Based Backdoor Attacks NAACL 2024 UMA: Facilitating Backdoor Scanning via Unlearning-Based Model Ablation AAAI 2024 A Unified Detection Framework for Inference-Stage Backdoor Defenses NeurIPS 2023 BIRD: Generalizable Backdoor Detection and Removal for Deep Reinforcement Learning NeurIPS 2023 Detecting Backdoors in Pre-Trained Encoders CVPR 2023 Diffusion Theory as a Scalpel: Detecting and Purifying Poisonous Dimensions in Pre-trained Language Models Caused by Backdoor or Bias ACL 2023 PolicyCleanse: Backdoor Detection and Mitigation for Competitive Reinforcement Learning ICCV 2023 Rethinking Interpretation: Input-Agnostic Saliency Mapping of Deep Visual Classifiers AAAI 2023 SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency ICLR 2023 Single Image Backdoor Inversion via Robust Smoothed Classifiers CVPR 2023 AEVA: Black-box Backdoor Detection Using Adversarial Extreme Value Analysis ICLR 2022 Complex Backdoor Detection by Symmetric Feature Differencing CVPR 2022 Hibernated Backdoor: A Mutual Information Empowered Backdoor Attack to Deep Neural Networks AAAI 2022 Pre-activation Distributions Expose Backdoor Neurons 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