Zero-Shot Adversarial Robustness LVM模型中对于新的任务和数据集巨有良好的泛化性,CLIP在zero-shot任务上的能力显著。但是,尚未有人关注过zero-shot的对抗鲁棒性的迁移效果。本文主要针对的就是在zero-shot任务上模型的对抗鲁棒性能力。 Adversarial Training 对抗训练是一种普遍的用于增强模型对抗鲁棒性的方式,其原理...
In addition to creating possibly the first benchmark on adversarial robustness of ZSL models, we also present analyses on important points that require attention for better interpretation of ZSL robustness results. We hope these points, along with the benchmark, will help researchers establish a ...
In this paper, we propose Pre-trained Model Guided Adversarial Fine-Tuning (PMG-AFT) method, which leverages supervision from the original pre-trained model by carefully designing an auxiliary branch, to enhance the model's zero-shot adversarial robustness. Specifically, PMG-AFT minimizes the ...
Zero-Shot Adversarial Robustness Challenge Defence MethodSubmitted ByAccuracy (Robust)Accuracy (Clean)Accuracy (Average) CLIPPMLR 20214.90%64.42%34.66% FT-Clean(initial entry)7.05%54.37%30.71% FT-Adv.(initial entry)28.83%43.36%36.09% TeCoAICLR 202328.06%45.81%36.93% ...
Robustness to Natural Distribution Shift 本实验在ImageNetV2、ImageNet Sketch 、Youtube-BB、ImageNet-...
Certified adversarial robustness via randomized smoothing. In Inter- national Conference on Machine Learning (ICML), 2019. https://arxiv.org/abs/1902.02918. 17 [16] Alexander D'Amour, Katherine Heller, Dan Moldovan, Ben Adlam, Babak Alipanahi, Alex Beutel, Christina Chen, Jonathan Deaton, Jacob...
1a). To improve the noise robustness of ZS-DeconvNet while maintaining its unsupervised characteristic, we adopted an image recorrupting scheme26 that generates two noise-independent recorrupted images from the original image, which are then used as inputs and GTs in the network training (Methods...
论文关键词:Zero-shot learning,Robust generalization,Adversarial robustness论文评审过程:Received 26 September 2021, Revised 4 December 2021, Accepted 18 January 2022, Available online 23 January 2022, Version of Record 1 February 2022.论文官网地址:https://doi.org/10.1016/j.imavis.2022.104392 ...
ADVETA(Pi et al., 2022)则考虑了数据库中的列名已经被修改的情景(Towards robustness of text-to-SQL models against natural and realistic adversarial table perturbation) SParC(Yu et al., 2019b)(Sparc: Crossdomain semantic parsing in context)和CoSQL(Yu et al., 2019a)包(Cosql: A conversational...
The above results validate the robustness of DILF on standard 3D classification tasks. Table 3. Standard 3D classification performance (Rank-1, mAP%) on ModelNet40 and ScanObjectNN. †Avg represents the standard classification methods average performance, ‡Avg represents the zero-shot ...