searching for an effective defender benchmarking defense against adversarial word substitution ?

Description

https://aclanthology.org › 2021.emnlp-main.251

https://aclanthology.org › 2021.emnlp-main.251
Searching for an Effective Defender: Benchmarking Defense against …
Recent studies have shown that deep neural network-based models are vulnerable to intentionally crafted adversarial examples, and various methods have been proposed to defend against adversarial word-substitution attacks for neural NLP models. However, there is a lack of systematic study on comparing different defense approaches under the same attacking setting. In this paper, we seek to fill the gap of systematic studies through comprehensive researches on understanding the …

https://arxiv.org › abs › 2108.12777

https://arxiv.org › abs › 2108.12777
Searching for an Effective Defender: Benchmarking Defense against …
In this paper, we seek to fill the gap of systematic studies through comprehensive researches on understanding the behavior of neural text classifiers trained by various defense methods under representative adversarial attacks. In addition, we propose an effective method to further improve the robustness of neural text classifiers against such attacks and achieved the highest accuracy on both clean and adversarial examples on AGNEWS and IMDB datasets by a significant margin.

https://www.architecturaldigest.com › reviews › home-improvement › leaf-filter-reviews

qizhang.info › paper › emnlp2021.4161_Paper.pdf
PDF Searching for an Effective Defender: Benchmarking Defense against …
ticular, we focus on defense methods against ad-versarial word substitution, one of the most widely studied attack approaches that could cause major threats in adversarial defenses. In order to rigor-ously evaluate the performance of defense meth-ods, we propose four evaluation metrics: clean accuracy, accuracy under attack, attack success

https://www.arxiv-vanity.com › papers › 2108.12777

https://www.arxiv-vanity.com › papers › 2108.12777
Searching for an Effective Defender: Benchmarking Defense against …
We choose 3 base attackers to benchmark the defense performance of textual defenders: TextFooler, BERT-Attack, and TextBugger. Our choice of attackers is based on their outstanding attack performances, as shown in Figure 1. Table 2: The experiment results of different defenders on AGNEWS, where all models are trained on BERT.

https://www.researchgate.net › publication › 354235612_Searching_for_an_Effective_Defender_Benchmarking_Defense_against_Adversarial_Word_Substitution

https://www.researchgate.net › publication › 354235612_Searching_for_an_Effective_Defender_Benchmarking_Defense_against_Adversarial_Word_Substitution
Searching for an Effective Defender: Benchmarking Defense against …
Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution August 2021 Authors: Zongyi Li Jianhan Xu Jiehang Zeng Linyang Li Show all 8 authors Preprints and…

https://www.semanticscholar.org › paper › Searching-for-an-Effective-Defender:-Benchmarking-Li-Xu › 31e46ed4722a4895a19eda37dbc02da55572783a

https://www.semanticscholar.org › paper › Searching-for-an-Effective-Defender:-Benchmarking-Li-Xu › 31e46ed4722a4895a19eda37dbc02da55572783a
Searching for an Effective Defender: Benchmarking Defense against …
The Word Substitution Ranking Attack (WSRA) task against NRMs, which aims to promote a target document in rankings by adding adversarial perturbations to its text, is introduced and a novel Pseudo Relevance-based ADversarial ranking Attack method (PRADA) is proposed that learns a surrogate model based on PseudoRelevance Feedback to generate gradients for finding the adversarialperturbations.

https://zhuanlan.zhihu.com › p › 426668725

https://zhuanlan.zhihu.com › p › 426668725
Searching for an Effective Defender: Benchmarking Defense against …
本文提到Adversarial Defense的目的是学到一个在干净和对抗样本上都有高准确率的模型，也就是Generalization和Robustness。 但是目前的防御方法，大多只是声称达到了好的防御效果，而在攻击方法、防御方法的参数设置，鲁棒性的评价方法等方面有很大出入，这也导致了我们难以判断其优劣。 本文主要针对adversarial word substitution来评测防御方法，四个评价指标： clean accuracy accuracy under attack (应该说是 robust accuracy) attack success rate number of queries 为了做公平的比较，对攻击和防御方法分别施加限制。

https://dblp.org › rec › conf › emnlp › LiXZLZZCH21

https://dblp.org › rec › conf › emnlp › LiXZLZZCH21
dblp: Searching for an Effective Defender: Benchmarking Defense against …
Bibliographic details on Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution. We are hiring! You have a passion for computer science and you are driven to make a difference in the research community?

https://github.com › RockyLzy › TextDefender

https://github.com › RockyLzy › TextDefender
GitHub – RockyLzy/TextDefender: codes for Searching for an Effective …
TextDefender Codes for Searching for an Effective Defender:Benchmarking Defense against Adversarial Word Substitution (EMNLP2021) How to run our codes if you want to train a model from scratch: python main.py –mode train –dataset_name agnews –max_seq_length 128 –epochs 10 –batch_size 32 –training_type base (or freelb, pgd, etc.)

https://zhuanlan.zhihu.com › p › 436325140

https://zhuanlan.zhihu.com › p › 436325140
复旦张奇：如何解决nlp中的鲁棒性问题？ – 知乎
Li et al., Searching for An Effective Defender: Benchmarking Defense Against Adversarial Word Substitution, EMNLP 2021 . 这篇工作[16]旨在对目前对抗攻击的相关工作提供一个整体的Benchmark，并基于该Benchmark对目前的方法进行评估。论文在对抗性输入与原始输入的差距、可提供的候选攻击词的个数、修改部分的比例、为攻击所需 …

Aide pour la recherche
Rechercher
Recherche avancée :Trier par pertinence
Rechercher dans :(Principal)
Aucun résultat ne correspond à la requête sur ce site.
Cherchez Searching for an effective defender benchmarking defense against adversarial word substitution sur un des projets-frères de Wikipédia :
Wiktionnaire (dictionnaire) Wikibooks (livres pédagogiques) Wikiquote (citations) Wikisource (bibliothèque libre) Wikinews (actualités libres) Wikiversity (espace pédagogique) Wikivoyage (guide touristique) Wikidata (base de données) Commons (images et médias)
L’article « Searching for an effective defender benchmarking defense against adversarial word substitution » n’existe pas sur ce wiki !
Vous souhaitez le créer ? Vérifiez auparavant que le sujet n’a pas déjà été traité dans les résultats ci-dessous, puis assurez-vous qu’il est admissible dans l’encyclopédie.
Pour créer « Searching for an effective defender benchmarking defense against adversarial word substitution », suivez le guide !
Affichage des résultats provenant de Wikipédia en anglais.
Deepfake
such as autoencoders, or generative adversarial networks (GANs). Deepfakes have garnered widespread attention for their potential use in creating child…
128 kio (12 111 mots) – 13 février 2023 à 13:58
South African labour law (section What constitutes an automatically unfair dismissal?)
comprehensively with both individual and collective labour law. Given the adversarial nature of the relationship between organised labour and employers up…
336 kio (52 802 mots) – 25 novembre 2022 à 05:05lesoutrali bot