conftrace_

poisoned sample

13 papers

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Co-occurring keywords · papers mentioning both

backdoor attack (11) backdoor detection (3) backdoor defense (3) adversarial learning (3) training-time attack (2) adversarial defense (2) deep neural network (2) neural network security (2) model security (2) layer-wise feature analysis (1)

Papers

FILTER: A Framework for Defending Against Backdoor Attacks in Vertical Federated Learning AAAI 2026 CopyrightShield: Enhancing Diffusion Model Security Against Copyright Infringement Attacks ICCV 2025 Test-Time Backdoor Detection for Object Detection Models CVPR 2025 Defending Against Backdoor Attacks by Layer-wise Feature Analysis (Extended Abstract) IJCAI 2024 Defense against Backdoor Attack on Pre-trained Language Models via Head Pruning and Attention Normalization ICML 2024 Energy-based Backdoor Defense without Task-Specific Samples and Model Retraining ICML 2024 T2IShield: Defending Against Backdoors on Text-to-Image Diffusion Models ECCV 2024 TrojText: Test-time Invisible Textual Trojan Insertion ICLR 2023 Backdoor Defense via Decoupling the Training Process ICLR 2022 Data-Efficient Backdoor Attacks IJCAI 2022 Effective Backdoor Defense by Exploiting Sensitivity of Poisoned Samples NeurIPS 2022 Foiling Training-Time Attacks on Neural Machine Translation Systems EMNLP 2022 Pre-activation Distributions Expose Backdoor Neurons NeurIPS 2022