Papers citing 'DataElixir: Purifying Poisoned Dataset to Mitigate Backdoor Attacks via Diffusion Models'

Title
Backdoor Attacks and Defenses in Computer Vision Domain: A Survey Bilal Hussain Abbasi Y. Zhang L. Zhang Shang Gao AAML 96 0 0 09 Sep 2025
Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Ashwath Vaithinathan Aravindan Abha Jha Matthew Salaway Atharva Sandeep Bhide Duygu Nur Yaldiz DiffM AAML 80 0 0 20 Aug 2025
Backdoor Defense in Diffusion Models via Spatial Attention Unlearning Abha Jha Ashwath Vaithinathan Aravindan Matthew Salaway Atharva Sandeep Bhide Duygu Nur Yaldiz AAML 249 0 0 21 Apr 2025
SAP-DIFF: Semantic Adversarial Patch Generation for Black-Box Face Recognition Models via Diffusion ModelsInternational Conference on Multimedia Retrieval (ICMR), 2025 Mingsi Wang Shuaiyin Yao Chang Yue Lijie Zhang Guozhu Meng DiffM AAML 189 0 0 27 Feb 2025
REFINE: Inversion-Free Backdoor Defense via Model ReprogrammingInternational Conference on Learning Representations (ICLR), 2025 Yuxiao Chen Shuo Shao Enhao Huang Yiming Li Pin-Yu Chen Zhan Qin Kui Ren AAML 173 15 0 22 Feb 2025
BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor LearningInternational Journal of Computer Vision (IJCV), 2024 Baoyuan Wu Hongrui Chen Ruotong Wang Zihao Zhu Shaokui Wei Danni Yuan Mingli Zhu Ke Xu Li Liu Chaoxiao Shen AAML ELM 203 16 0 26 Jan 2024
From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2023 Zhuoshi Pan Yuguang Yao Gaowen Liu Bingquan Shen H. Vicky Zhao Ramana Rao Kompella Sijia Liu DiffM AAML 235 8 0 04 Nov 2023