论文阅读 | Universal Adversarial Triggers for Attacking and Analyzing NLP - 代码天地

论文阅读 | Universal Adversarial Triggers for Attacking and Analyzing NLP

其他 2019-09-19 00:34:34 阅读次数: 0

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转载自www.cnblogs.com/shona/p/11546402.html

论文阅读 | Universal Adversarial Triggers for Attacking and Analyzing NLP

论文阅读 | Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems

论文阅读 (81)：Fast Feature Fool: A Data Independent Approach to Universal Adversarial Perturbations

Attacking Visual Language Grounding with Adversarial Examples

【NLP】Universal Transformers详解

论文阅读-Event Detection without Triggers

对抗样本之科普：attacking maching learning with adversarial examples

论文阅读——《Generative Adversarial Nets》

[论文阅读] Adversarial Latent Autoencoders

对抗机器学习——Universal adversarial perturbations

adversarial training在NLP中的应用

【论文阅读】Deep Adversarial Subspace Clustering

EXPLAINING AND HARNESSING ADVERSARIAL EXAMPLES 论文阅读

论文阅读——《Conditional Generative Adversarial Nets》

【深度学习NLP论文笔记】《Interpretable Adversarial Perturbation in Input Embedding Space for Text》

【深度学习NLP论文笔记】《Towards Crafting Text Adversarial Samples》

【深度学习NLP论文笔记】《Adversarial Example For Natural Language Classification Problems》

Enabling Fast and Universal Audio Adversarial Attack Using Generative Model

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《AppIntent - Analyzing Sensitive Data Transmission in Android for Privacy Leakage Detection》论文阅读笔记

【论文阅读】Analyzing group-level emotion with global alignment kernel based approach

论文阅读 Adversarial Complementary Learning forWeakly Supervised Object Localization

阅读论文 GraphGAN: Graph Representation Learning with Generative Adversarial Nets

《Macro-Micro Adversarial Network for Human Parsing》论文阅读笔记

《GraphGAN：Graph Representation Learning with Generative Adversarial Nets》论文阅读笔记

【论文阅读】MEAL: Multi-Model Ensemble via Adversarial Learning

论文阅读 | Combating Adversarial Misspellings with Robust Word Recognition

论文阅读 | HotFlip: White-Box Adversarial Examples for Text Classification

论文阅读 | Adversarial Example Generation with Syntactically Controlled Paraphrase Networks

论文阅读——《Image-to-Image Translation with Conditional Adversarial Networks》

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