Training with More Confidence: Mitigating Injected and Natural Backdoors
During Training

Training with More Confidence: Mitigating Injected and Natural Backdoors During Training

13 February 2022

Papers citing "Training with More Confidence: Mitigating Injected and Natural Backdoors During Training"

11 / 11 papers shown

Title
Secure Transfer Learning: Training Clean Models Against Backdoor in (Both) Pre-trained Encoders and Downstream Datasets Yuhang Zhang Yuxuan Zhou Tianyu Li Minghui Li Shengshan Hu Wei Luo L. Zhang AAML SILM 43 0 0 16 Apr 2025
BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense Evaluation Haiyang Yu Tian Xie Jiaping Gui Pengyang Wang P. Yi Yue Wu 53 1 0 17 Nov 2024
Model Pairing Using Embedding Translation for Backdoor Attack Detection on Open-Set Classification Tasks A. Unnervik Hatef Otroshi-Shahreza Anjith George S´ebastien Marcel AAML SILM 35 0 0 28 Feb 2024
NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models Kai Mei Zheng Li Zhenting Wang Yang Zhang Shiqing Ma AAML SILM 37 48 0 28 May 2023
UNICORN: A Unified Backdoor Trigger Inversion Framework Zhenting Wang Kai Mei Juan Zhai Shiqing Ma LLMSV 32 44 0 05 Apr 2023
Mask and Restore: Blind Backdoor Defense at Test Time with Masked Autoencoder Tao Sun Lu Pang Chao Chen Haibin Ling AAML 43 9 0 27 Mar 2023
Black-box Backdoor Defense via Zero-shot Image Purification Yucheng Shi Mengnan Du Xuansheng Wu Zihan Guan Jin Sun Ninghao Liu 40 28 0 21 Mar 2023
BppAttack: Stealthy and Efficient Trojan Attacks against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning Zhenting Wang Juan Zhai Shiqing Ma AAML 131 97 0 26 May 2022
Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information Yi Zeng Minzhou Pan H. Just Lingjuan Lyu M. Qiu R. Jia AAML 20 168 0 11 Apr 2022
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning Lun Wang Zaynah Javed Xian Wu Wenbo Guo Xinyu Xing D. Song AAML 166 64 0 02 May 2021
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems Edward Chou Florian Tramèr Giancarlo Pellegrino AAML 168 287 0 02 Dec 2018