Does Few-shot Learning Suffer from Backdoor Attacks?

Does Few-shot Learning Suffer from Backdoor Attacks?

31 December 2023

Jindong Gu

Papers citing "Does Few-shot Learning Suffer from Backdoor Attacks?"

8 / 8 papers shown

Title
CBW: Towards Dataset Ownership Verification for Speaker Verification via Clustering-based Backdoor Watermarking Yiming Li Kaiying Yan Shuo Shao Tongqing Zhai Shu-Tao Xia Zengchang Qin D. Tao AAML 146 0 0 02 Mar 2025
Towards Robust Physical-world Backdoor Attacks on Lane Detection Xinwei Zhang Aishan Liu Tianyuan Zhang Siyuan Liang Xianglong Liu AAML 47 10 0 09 May 2024
Effectiveness Assessment of Recent Large Vision-Language Models Yao Jiang Xinyu Yan Ge-Peng Ji Keren Fu Meijun Sun Huan Xiong Deng-Ping Fan Fahad Shahbaz Khan 31 14 0 07 Mar 2024
LibFewShot: A Comprehensive Library for Few-shot Learning Wenbin Li Ziyi Ziyi Wang Xuesong Yang C. Dong ... Jing Huo Yinghuan Shi Lei Wang Yang Gao Jiebo Luo VLM 113 66 0 10 Sep 2021
Free Lunch for Few-shot Learning: Distribution Calibration Shuo Yang Lu Liu Min Xu OODD 210 322 0 16 Jan 2021
Clean-Label Backdoor Attacks on Video Recognition Models Shihao Zhao Xingjun Ma Xiang Zheng James Bailey Jingjing Chen Yu-Gang Jiang AAML 196 274 0 06 Mar 2020
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 177 639 0 19 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 332 11,684 0 09 Mar 2017